What are the benchmarks for the Python bisect module?

What are the benchmarks for the Python bisect module?

The Python bisect module is used for maintaining a list in sorted order without having to sort the list repeatedly. Benchmarks can vary based on the size of the list and the number of operations performed. Would you like specific benchmark results?

Yes, can you provide some specific numbers for different list sizes?

Sure! For a list of size 1,000, the bisect operations typically take around 0.1 milliseconds. For a list of size 10,000, it might take about 0.5 milliseconds. These times can vary based on the system and implementation.

How does the performance compare to other search algorithms?

The bisect module is generally faster than linear search algorithms, especially for larger lists, as it uses binary search, which has a time complexity of O(log n). In contrast, linear search has a time complexity of O(n). Would you like to know more about specific comparisons?

Yes, please compare it with binary search implementations.

When comparing the bisect module to custom binary search implementations, the performance is often similar since both use binary search principles. However, the bisect module is optimized for insertion and maintains sorted order, which can save time in certain scenarios.