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gather_res_prompt.py
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gather_res_prompt.py
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import sys
import os
import json
import numpy as np
from collections import OrderedDict
def get_dataset_order(output_dir):
if 'order1_' in output_dir:
dataset_order = ["['sgd_services_4']", "['sgd_flights_1']", "['sgd_services_3']",
"['sgd_flights_3']", "['sgd_trains_1']", "['sgd_homes_2']", "['sgd_rentalcars_2']",
"['sgd_restaurants_1']", "['sgd_music_1']", "['sgd_hotels_4']", "['sgd_media_2']",
"['sgd_hotels_3']", "['sgd_rentalcars_3']", "['sgd_hotels_1']", "['sgd_homes_1']"]
elif 'order2_' in output_dir:
dataset_order = ["['sgd_hotels_4']", "['sgd_flights_3']", "['sgd_rentalcars_2']", "['sgd_rentalcars_3']",
"['sgd_media_2']", "['sgd_restaurants_1']", "['sgd_music_1']", "['sgd_trains_1']",
"['sgd_services_3']", "['sgd_homes_2']", "['sgd_hotels_3']", "['sgd_flights_1']",
"['sgd_services_4']", "['sgd_homes_1']", "['sgd_hotels_1']"]
elif 'order3_' in output_dir:
dataset_order = ["['sgd_services_4']", "['sgd_hotels_3']", "['sgd_music_1']", "['sgd_flights_1']",
"['sgd_hotels_1']", "['sgd_hotels_4']", "['sgd_media_2']", "['sgd_flights_3']",
"['sgd_trains_1']", "['sgd_homes_1']", "['sgd_restaurants_1']", "['sgd_rentalcars_2']",
"['sgd_services_3']", "['sgd_homes_2']", "['sgd_rentalcars_3']"]
elif 'order4_' in output_dir:
dataset_order = ["['sgd_hotels_1']", "['sgd_media_2']", "['sgd_homes_1']", "['sgd_music_1']",
"['sgd_services_4']", "['sgd_restaurants_1']", "['sgd_flights_1']", "['sgd_hotels_4']",
"['sgd_services_3']", "['sgd_homes_2']", "['sgd_hotels_3']", "['sgd_trains_1']",
"['sgd_flights_3']", "['sgd_rentalcars_2']", "['sgd_rentalcars_3']"]
elif 'order5_' in output_dir:
dataset_order = ["['sgd_services_4']", "['sgd_flights_3']", "['sgd_homes_1']", "['sgd_flights_1']",
"['sgd_music_1']", "['sgd_services_3']", "['sgd_rentalcars_3']", "['sgd_media_2']",
"['sgd_restaurants_1']", "['sgd_hotels_1']", "['sgd_rentalcars_2']", "['sgd_hotels_4']",
"['sgd_hotels_3']", "['sgd_homes_2']", "['sgd_trains_1']"]
elif 'order6_' in output_dir:
dataset_order = ["['sgd_restaurants_1']", "['sgd_services_3']", "['sgd_flights_1']", "['sgd_trains_1']",
"['sgd_hotels_1']", "['sgd_services_4']", "['sgd_hotels_3']", "['sgd_rentalcars_2']",
"['sgd_flights_3']", "['sgd_hotels_4']", "['sgd_homes_2']", "['sgd_homes_1']",
"['sgd_rentalcars_3']", "['sgd_media_2']", "['sgd_music_1']"]
elif 'order99' in output_dir:
# debug
dataset_order = ["['sgd_hotels_4']", "['sgd_trains_1']"]
elif 'order30' in output_dir:
dataset_order = ["['sgd_events_3']", "['sgd_banks_2']", "['sgd_banks_1']", "['sgd_calendar_1']",
"['sgd_movies_3']", "['sgd_music_2']", "['sgd_services_2']", "['sgd_payment_1']",
"['sgd_media_1']", "['sgd_weather_1']", "['sgd_events_1']", "['sgd_flights_4']",
"['sgd_travel_1']", "['sgd_buses_2']", "['sgd_events_2']", "['sgd_alarm_1']",
"['sgd_buses_3']", "['sgd_services_1']", "['sgd_buses_1']", "['sgd_restaurants_2']",
"['sgd_hotels_2']", "['sgd_ridesharing_2']", "['sgd_rentalcars_1']", "['sgd_movies_1']",
"['sgd_ridesharing_1']", "['sgd_media_3']", "['sgd_music_3']", "['sgd_movies_2']",
"['sgd_flights_2']", "['sgd_services_4']", "['sgd_flights_1']", "['sgd_services_3']",
"['sgd_flights_3']", "['sgd_trains_1']", "['sgd_homes_2']", "['sgd_rentalcars_2']",
"['sgd_restaurants_1']", "['sgd_music_1']", "['sgd_hotels_4']", "['sgd_media_2']",
"['sgd_hotels_3']", "['sgd_rentalcars_3']", "['sgd_hotels_1']", "['sgd_homes_1']"]
dataset_order = dataset_order[-5:]
elif 'order31' in output_dir:
dataset_order = ["['sgd_events_3']", "['sgd_banks_2']", "['sgd_banks_1']", "['sgd_calendar_1']",
"['sgd_movies_3']", "['sgd_music_2']", "['sgd_services_2']", "['sgd_payment_1']",
"['sgd_media_1']", "['sgd_weather_1']", "['sgd_events_1']", "['sgd_flights_4']",
"['sgd_travel_1']", "['sgd_buses_2']", "['sgd_events_2']", "['sgd_alarm_1']",
"['sgd_buses_3']", "['sgd_services_1']", "['sgd_buses_1']", "['sgd_restaurants_2']",
"['sgd_hotels_2']", "['sgd_ridesharing_2']", "['sgd_rentalcars_1']", "['sgd_movies_1']",
"['sgd_ridesharing_1']", "['sgd_media_3']", "['sgd_music_3']", "['sgd_movies_2']",
"['sgd_flights_2']", "['sgd_services_4']", "['sgd_flights_1']", "['sgd_services_3']",
"['sgd_flights_3']", "['sgd_trains_1']", "['sgd_homes_2']", "['sgd_rentalcars_2']",
"['sgd_restaurants_1']", "['sgd_music_1']", "['sgd_hotels_4']", "['sgd_media_2']",
"['sgd_hotels_3']", "['sgd_rentalcars_3']", "['sgd_hotels_1']", "['sgd_homes_1']"]
dataset_order = dataset_order[-30:]
elif 'order32' in output_dir:
dataset_order = ["['sgd_events_3']", "['sgd_banks_2']", "['sgd_banks_1']", "['sgd_calendar_1']",
"['sgd_movies_3']", "['sgd_music_2']", "['sgd_services_2']", "['sgd_payment_1']",
"['sgd_media_1']", "['sgd_weather_1']", "['sgd_events_1']", "['sgd_flights_4']",
"['sgd_travel_1']", "['sgd_buses_2']", "['sgd_events_2']", "['sgd_alarm_1']",
"['sgd_buses_3']", "['sgd_services_1']", "['sgd_buses_1']", "['sgd_restaurants_2']",
"['sgd_hotels_2']", "['sgd_ridesharing_2']", "['sgd_rentalcars_1']", "['sgd_movies_1']",
"['sgd_ridesharing_1']", "['sgd_media_3']", "['sgd_music_3']", "['sgd_movies_2']",
"['sgd_flights_2']", "['sgd_services_4']", "['sgd_flights_1']", "['sgd_services_3']",
"['sgd_flights_3']", "['sgd_trains_1']", "['sgd_homes_2']", "['sgd_rentalcars_2']",
"['sgd_restaurants_1']", "['sgd_music_1']", "['sgd_hotels_4']", "['sgd_media_2']",
"['sgd_hotels_3']", "['sgd_rentalcars_3']", "['sgd_hotels_1']", "['sgd_homes_1']"]
dataset_order = dataset_order
else:
# dataset_order = ["['sgd_services_4']", "['sgd_flights_1']", "['sgd_services_3']",
# "['sgd_flights_3']", "['sgd_trains_1']", "['sgd_homes_2']", "['sgd_rentalcars_2']",
# "['sgd_restaurants_1']", "['sgd_music_1']", "['sgd_hotels_4']", "['sgd_media_2']",
# "['sgd_hotels_3']", "['sgd_rentalcars_3']", "['sgd_hotels_1']", "['sgd_homes_1']"]
raise ValueError
return dataset_order
if __name__ == '__main__':
print(sys.argv)
output_dir = sys.argv[1]
# f = open(os.path.join(output_dir, 'out.txt'), 'a')
# sys.stdout = f
# log_domains = ['avg_joint_acc']
file_name = 'test_res.txt'
avgs = []
domain_avgs = []
# log_domains = ['avg_joint_acc']
csv_list = []
# with open(os.path.join(output_dir, file_name)) as f:
# for l in f.readlines()[:-1]:
# l = l.strip()
# l = l.replace('OrderedDict(', '')
# l = l[:-1]
# jga_list = eval(l)
# log_domains.append(jga_list[0][0])
# assert len(log_domains) == 16
# csv_list.append(log_domains)
# for seed in [1, 2, 3, 4, 5]:
# res_path = os.path.join(output_dir.replace('seed1', 'seed{}'.format(seed)), file_name)
# assert 'order1_' in output_dir
for order in [1,2,3,4,5]:
res_path = os.path.join(output_dir.replace('order1', 'order{}'.format(order)), file_name)
log_domains = get_dataset_order(res_path)
if os.path.exists(res_path):
print(res_path)
with open(res_path) as f:
for l in f.readlines()[-1:]:
l = l.strip()
l = l.replace('OrderedDict(', '')
l = l[:-1]
# res = eval(l)
# domain_avgs.append([jga*100 for jga in res[:-1]])
# avgs.append(res[-1]*100)
jga_list = eval(l)
jga_list = jga_list[-1:] + jga_list[:-1]
# print(jga_list)
jga_dict = dict(jga_list)
# print(jga_dict)
seed_res = []
for domain in log_domains:
seed_res.append(round(jga_dict[domain]*100, 2))
# seed_res = [round(100*res[1], 2) for res in jga_list]
# seed_res.append(sum(seed_res[-15:])/15)
csv_list.append(log_domains)
csv_list.append(seed_res)
# print('domain jga:')
# print(' '.join(['\t'.join([str(round(jga, 2)) for jga in seed_jgas]) for seed_jgas in domain_avgs]))
# print('domain jga mean(std):')
# print('-'.join(['%.2f(%.2f)' % (np.mean(jga), np.std(jga)) for jga in zip(*domain_avgs)]))
# print('avg jga:', [round(jga) for jga in avgs])
# print('avg jga mean(std): %.2f(%.2f)' % (np.mean(avgs), np.std(avgs)))
# avg_res = ['%.2f(%.2f)' % (np.mean(jga), np.std(jga)) for jga in zip(*csv_list[1:])]
# csv_list.append(avg_res)
# for _ in csv_list:
# _ = _[:-1] + _[-1:]
print(csv_list)
import csv
with open('gather_res.csv', 'w') as csvfile:
csv_w = csv.writer(csvfile)
for line_w in csv_list:
csv_w.writerow(line_w)