def run_collapse_differences(fs, get=getdst):
base = fs[0]
del fs[0]
subs = [
[get(rule) for rule in concat(compare(base, f)) if rule.type == lev.SUB and rule.dst != rule.src] for f in fs
]
return dct.zip(dct.count(concat(subs)), default=0, *map(dct.count, subs))
def combine(sed, ice):
setify = lambda d: dct.map_keys(frozenset, d)
d = dct.zip(setify(sed), setify(ice))
del d[frozenset(['ld', 'se'])]
del d[frozenset(['sw', 'se'])]
del d[frozenset(['nw', 'se'])]
del d[frozenset(['ld', 'nw'])]
del d[frozenset(['ld', 'em'])]
del d[frozenset(['yk', 'em'])]
return d
def feature_sub(seg1, seg2):
"({str:float}*{str:float}) -> float"
return (len(set(seg1) ^ set(seg2))
+ sum(abs(f1-f2) for f1,f2 in dct.zip(seg1,seg2).values()))
