Skip to content

Instantly share code, notes, and snippets.

@pberkes
Created January 14, 2019 17:27
Show Gist options
  • Save pberkes/ab45d5dd49c4914601f4e5a1e49c7ce1 to your computer and use it in GitHub Desktop.
Save pberkes/ab45d5dd49c4914601f4e5a1e49c7ce1 to your computer and use it in GitHub Desktop.
def find_sets2(cards):
ndims, ncards = cards.shape
all_features = set([0, 1, 2])
# solutions contain the indices of the cards forming sets
solutions = []
# iterate over all pairs
for idx1, idx2 in itertools.combinations(range(ncards - 1), 2):
c1, c2 = cards[:, idx1], cards[:, idx2]
# compute card that would complete the set
missing = numpy.empty((ndims,), dtype='i')
for d in range(ndims):
if c1[d] == c2[d]:
# same feature on this dimension ->; missing card also has same
missing[d] = c1[d]
else:
# different features -> find third missing feature
missing[d] = list(all_features - set([c1[d], c2[d]]))[0]
# look for missing card in the cards array
where_idx = numpy.flatnonzero(numpy.all(cards[:, idx2 + 1:].T == missing,
axis=1))
# append to solutions if found
if len(where_idx) > 0:
solutions.append((idx1, idx2, where_idx[0] + idx2 + 1))
return solutions
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment