scale_list = update_graph_scale_log(graph_dir, graph_id_list,
graph_scale_log_path)
node_num_list = [scale[0] for scale in scale_list]
tree_num_method_list = [
tree_num_method.format(get_tree_num(node_num))
for node_num in node_num_list
]
"""
Instantiate node total distance map pattern:
[graph_name_str, tree_method_info_str, node_ttl_dist_map_str]
"""
node_ttl_dist_map_info_list = [
graph_name_list, tree_num_method_list,
[node_ttl_dist_map_str] * len(graph_name_list)
]
job_list = get_job(node_ttl_dist_map_info_list, sep, node_ttl_dist_map_dir)
job_assign_res, needed_cpu_num = assign_job(job_list, accessible_cpu_num)
messages = run_multi_process(do_get_node_ttl_dist_map_job,
needed_cpu_num,
job_assign_res,
is_communication=True)
if messages:
write_log(node_ttl_dist_map_log_path, messages)
# do_get_node_root_dist_maps_job(job_list)
graph_scale_log_path)
max_monitor_num_list = [
get_max_monitor_num(scale[0]) for scale in scale_list
]
trunc_step_list = [get_step(item) for item in max_monitor_num_list]
trunc_num_step_method_list = [
trunc_num_step_method.format(trunc_point_num, item)
for item in trunc_step_list
]
"""
Instantiate monitor pattern:
[graph_name_str, monitor_info_fmt, monitor_str]
"""
monitor_list = [
graph_name_list, trunc_num_step_method_list,
[monitor_str] * len(graph_name_list)
]
job_list = get_job(monitor_list, sep, monitor_dir)
job_assign_res, needed_cpu_num = assign_job(job_list, accessible_cpu_num)
messages = run_multi_process(do_maximize_comb_local_centrality_job,
needed_cpu_num,
job_assign_res,
is_communication=True)
if messages:
write_log(monitor_log_path, messages)
for node_num, edge_num in scale_list]
step_list = [get_step(max_monitor_num)
for max_monitor_num in max_monitor_num_list]
trunc_num_step_list = [trunc_num_step_fmt.format(trunc_point_num, step)
for step in step_list]
job_list = []
job_info_list = [graph_name_list,
trunc_num_step_list,
[infection_info_instant] * len(graph_name_list),
[str(snapshot_num)] * len(graph_name_list),
[avg_detection_time_str] * len(graph_name_list)]
job_list = get_job(job_info_list, sep, avg_detection_time_dir)
job_assign_res, needed_cpu_num = assign_job(job_list, accessible_cpu_num)
messages = run_multi_process(do_get_avg_detection_time_job,
needed_cpu_num,
job_assign_res,
is_communication=True)
if messages:
write_log(avg_detection_time_log_path, messages)
from PatternConfig import *
if __name__ == '__main__':
scale_list = [get_scale_from_model_type(model) for model in model_list]
max_monitor_num_list = [get_max_monitor_num(scale) for scale in scale_list]
step_list = [get_step(item) for item in max_monitor_num_list]
trunc_num_step_list = [trunc_num_step_fmt.format(trunc_point_num, step) for step in step_list]
job_info_list = [model_list,
trunc_num_step_list,
[penalty_str] * len(model_list)
]
job_list = get_job(job_info_list, sep, penalty_dir)
job_assign_res, needed_cpu_num = assign_job(job_list, accessible_cpu_num)
messages = run_multi_process(do_get_avg_detection_time_job,
needed_cpu_num,
job_assign_res,
is_communication=True)
if messages:
write_log(penalty_log_path, messages)
