Files
copycat/cross_compare.py
2018-01-12 14:30:35 -07:00

52 lines
1.6 KiB
Python
Executable File

#!/usr/bin/env python3
import sys
import pickle
from pprint import pprint
from copycat import Problem
from copycat.statistics import cross_table
def compare_sets():
pass
def main(args):
branchProblemSets = dict()
problemSets = []
for filename in args:
with open(filename, 'rb') as infile:
pSet = pickle.load(infile)
branchProblemSets[filename] = pSet
problemSets.append((filename, pSet))
crossTable = cross_table(problemSets)
key_sorted_items = lambda d : sorted(d.items(), key=lambda t:t[0])
tableItems = key_sorted_items(crossTable)
assert len(tableItems) > 0, 'Empty table'
headKey, headSubDict = tableItems[0]
# Create table and add headers
table = [['problems x variants']]
for subkey, subsubdict in key_sorted_items(headSubDict):
for subsubkey, result in key_sorted_items(subsubdict):
table[-1].append('{} x {} for {} x {}'.format(*subkey, *subsubkey))
# Add test results to table
for key, subdict in tableItems:
table.append([])
problem = '{}:{}::{}:_'.format(*key)
table[-1].append(problem)
for subkey, subsubdict in key_sorted_items(subdict):
for subsubkey, result in key_sorted_items(subsubdict):
table[-1].append(str(result))
# A simple transpose
table = list(map(list, zip(*table)))
with open('output/cross_compare.csv', 'w') as outfile:
outfile.write('\n'.join(','.join(row) for row in table) + '\n')
return 0
if __name__ == '__main__':
sys.exit(main(sys.argv[1:]))