deehzee / unionfind Goto Github PK
View Code? Open in Web Editor NEWA union-find disjoint sets data structure implemented in Python with the "Weighted Quick Union with Path Compression" algorithm.
License: MIT License
A union-find disjoint sets data structure implemented in Python with the "Weighted Quick Union with Path Compression" algorithm.
License: MIT License
When you group elements into components (in methods components
and component_mapping
), the time complexity of your current way of doing it is O(N x M) (where N is len(self._elts)
and M is len(distinct_roots)
).
O(N x M) because looping over distinct roots is O(M) and boolean indexing over elements elts[roots == root]
is O(N).
The optimized code below using a defaultdict
(hashmap) has time complexity O(N). The higher M is, the bigger is the speed up.
from collections import defaultdict
def components(self):
dict_components = defaultdict(list)
for elem in self._elts:
root = self.find(elem)
dict_components[root].append(elem)
return dict_components
There is some issue with numpy.vectorize when using tuples as keys and this class doesn't work
Hi, thanks for your helpful codes at first. I'm wondering if you are interested in upload your code into a pip installable package. Maybe I can offer help on this.
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