def main():
import argparse
import sys
import json
parser = argparse.ArgumentParser()
parser.add_argument('dirs', nargs='*')
parser.add_argument('-i', '--include')
args = parser.parse_args()
if len(args.dirs) == 0:
exit(1)
summaries, configs = get_summaries_and_configs(
args.dirs, summaryname="generation_summary.json")
summary = merge_summary(*summaries)
if args.include is not None:
select(args.include, summary)
summary_avg_generations = avg_generations(summary)
id_name_map = id_name_map_from_configs(configs)
output = {
'avg_generations': summary_avg_generations,
'id_name_map': id_name_map
}
json.dump(output, sys.stdout)
def main():
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('files', nargs='*')
args = parser.parse_args()
data = []
for f in args.files:
with open(f, 'r') as f:
data.append(json.load(f))
merged = merge_summary(*data)
json.dump(merged, sys.stdout)
def main():
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('dirs', nargs='*')
args = parser.parse_args()
if len(args.dirs) == 0:
exit(1)
summaries, configs = get_summaries_and_configs(args.dirs)
summary = merge_summary(*summaries)
id_name_map = id_name_map_from_configs(configs)
max_id = max(id_name_map.keys())
table_begin = [r'\begin{longtable}{l | '
] + ['c' for i in range(max_id + 1)] + ['}']
table_begin = ' '.join(table_begin)
print(table_begin)
print('\hline')
print(r'\endhead')
for instance, algos in sorted(summary.items(), key=lambda x: x[0]):
instance_name, _ = os.path.splitext(instance)
instance_name = instance_name.replace('_', '-')
line = [instance_name] + ['0' for i in range(max_id + 1)]
maxitem, _ = argmax(algos, valuefunc=lambda x: int(x['fitness']))
for id, data in algos.items():
if id == maxitem:
line[int(id) +
1] = r'\textcolor{red}{' + str(data['fitness']) + '}'
else:
line[int(id) + 1] = str(data['fitness'])
print('&'.join(line) + r'\\')
print(r'\end{longtable}')
def main():
import argparse
import sys
import json
parser = argparse.ArgumentParser()
parser.add_argument('dirs', nargs='*')
parser.add_argument('-i', '--include')
args = parser.parse_args()
if len(args.dirs) == 0:
exit(1)
summaries, configs = get_summaries_and_configs(args.dirs)
summary = merge_summary(*summaries)
if args.include is not None:
select(args.include, summary)
id_name_map = id_name_map_from_configs(configs)
summary_avg_fitness = avg_fitness(summary, id_name_map)
json.dump(summary_avg_fitness, sys.stdout)