def compute_social_agony(graph_file,agony_path = "agony/agony "):
dir_name,tail = dir_tail_name(graph_file)
output = os.path.join(dir_name,tail.split(".")[0] + "_socialagony.txt")
compute_social_agony_script(graph_file,output,agony_path = agony_path)
from file_io import read_dict_from_file
agony_score = read_dict_from_file(output)
return agony_score
def computing_hierarchy(graph_file, players_score_func_name, nodetype=int):
import os.path
if players_score_func_name == "socialagony":
from helper_funs import dir_tail_name
dir_name, tail = dir_tail_name(graph_file)
agony_file = os.path.join(dir_name,
tail.split(".")[0] + "_socialagony.txt")
#agony_file = graph_file[:len(graph_file)-6] + "_socialagony.txt"
#from compute_social_agony import compute_social_agony
#players = compute_social_agony(graph_file,agony_path = "agony/agony ")
if False:
#if os.path.isfile(agony_file):
print("load pre-computed socialagony from: %s" % agony_file)
players = read_dict_from_file(agony_file)
else:
print("start computing socialagony...")
from compute_social_agony import compute_social_agony
players = compute_social_agony(graph_file,
agony_path="agony/agony ")
print("write socialagony to file: %s" % agony_file)
return players
g = nx.read_edgelist(graph_file,
create_using=nx.DiGraph(),
nodetype=nodetype)
if players_score_func_name == "pagerank":
#print("computing pagerank...")
players = nx.pagerank(g, alpha=0.85)
return players
elif players_score_func_name == "trueskill":
output_file = graph_file[:len(graph_file) - 6] + "_trueskill.txt"
output_file_2 = graph_file[:len(graph_file) - 6] + "_trueskill.pkl"
#from true_skill import graphbased_trueskill
#players = graphbased_trueskill(g)
#from file_io import write_dict_to_file
#write_dict_to_file(players,output_file)
'''
if os.path.isfile(output_file):
print("load pre-computed trueskill from: %s" % output_file)
players = read_dict_from_file(output_file,key_type = int, value_type = float)
elif os.path.isfile(output_file_2):
print("load pre-computed trueskill from: %s" % output_file_2)
players = read_from_pickle(output_file_2)
'''
if True:
print("start computing trueskill...")
from true_skill import graphbased_trueskill
players = graphbased_trueskill(g)
from file_io import write_dict_to_file
print("write trueskill to file: %s" % output_file)
write_dict_to_file(players, output_file)
return players
def compute_social_agony(graph_file,agony_path = "agony/agony "): output = graph_file[:len(graph_file)-6] + "_socialagony.txt" compute_social_agony_script(graph_file,output,agony_path = agony_path) from file_io import read_dict_from_file agony_score = read_dict_from_file(output) return agony_score