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Comparison-Oriented Sort.

Project description

Corsort

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Comparison-Oriented Sort.

Features

  • Implement Corsort, an efficient anytime sorting algorithm.

  • Compare Corsort with classical algorithms through Monte-Carlo simulations.

Credits

This package was created with Cookiecutter and the francois-durand/package_helper_2 project template.

History

0.1.1 (2023-04-7): More history, ChainAndY

  • Add Sort.history_comparisons_values_: history of the pairwise comparisons, in terms of compared values (whereas history_comparisons_ gives the original indices). Similarly, add WrapSortScorer.history_comparisons_values_ and WrapFullJit.history_comparisons_values_.

  • Add CorSort.history_leq_: history of the matrix leq_ representing the current poset. This is recorded if the newly added parameter record_leq is True.

  • Add WrapFullJit.history_states_: history of the state of the list.

  • Add ChainAndY: poset consisting of a chain and a Y-shape.

  • Add print_corsort_execution: generate LaTeX code for a CorSort execution.

  • partition is now stable (in the sense of “stable” sorting), hence also SortQuick, SortAsortQuickselect, and SortLargestInterval.

0.1.0 (2023-02-16): First release

  • Corsort (regular Python or with numba acceleration).

  • Classical sorting algorithms: Asort (with quickselect for median selection), Ford-Johnson, quicksort, quicksort with priority on the largest interval, merge sort (DFS or BFS).

  • Entropy bound.

  • Monte-Carlo simulations.

Project details


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