"This module provides functions for generating random sets, performing set operations, and timing the performance of set operations using both standard Python sets and integer-based sets (intsets). It includes caching for intset conversions and calculates the speedup of intset operations over standard set operations."
"I found that intsets can be hundreds of times faster than the same operation with the same values but with sets. The result was demonstrable in a range of test variables."
The article discusses the efficiency of integer-based sets (intsets) compared to standard Python sets when dealing with large datasets of strings. It highlights a scenario involving around 200,000 strings where operations using intsets proved to be substantially fasterâup to 866 times quicker than that of Python sets. The author emphasizes the variable-length nature of Python integers which accommodate dynamic string additions through a unique indexing approach. This performance boost is achieved by leveraging efficient integer bit manipulation for set operations, making intsets particularly advantageous for time-sensitive algorithms.
Read at paddy3118.blogspot.com
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