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diff --git a/README.md b/README.md new file mode 100644 index 0000000..74b5c19 --- /dev/null +++ b/README.md @@ -0,0 +1,107 @@ +Sorting algorithms +================== + +[](https://github.com/egor-tensin/sorting-algorithms/actions/workflows/ci.yml) + +Getting the hang out of (sorting) algorithms. +See also https://tensin.name/sorting-algorithms/. + +Prerequisites +------------- + +* Python 3.4 or higher +* [matplotlib] +* [numpy] (required by [matplotlib]) + +[matplotlib]: http://matplotlib.org/ +[numpy]: http://www.numpy.org/ + +Algorithms +---------- + +Each of the implemented sorting algorithms resides in a separate Python module +(in the `algorithms.impl` package). +The implemented algorithms are listed below. + +| Module name | Description +| ---------------- | -------------- +| `bubble_sort` | Bubble sort +| `heapsort` | Heapsort +| `insertion_sort` | Insertion sort +| `median` | Median value +| `merge_sort` | Merge sort +| `quicksort` | Quicksort +| `selection_sort` | Selection sort + +Some algorithms actually come in different variants. +For example, the implementation of quicksort includes a number of versions +depending on how the pivot element is chosen, be it the first, the second, the +middle, the last or a random element of the sequence. + +Testing +------- + +You can test each of the algorithms above by passing a sequence of integer +numbers to the corresponding script. + +``` +> python -m algorithms.impl.heapsort 5 3 4 1 2 +[1, 2, 3, 4, 5] +``` + +``` +> python -m algorithms.impl.quicksort 5 3 4 1 2 +[1, 2, 3, 4, 5] +[1, 2, 3, 4, 5] +[1, 2, 3, 4, 5] +[1, 2, 3, 4, 5] +[1, 2, 3, 4, 5] +``` + +You can use "test.py" to quickly generate an input list of some kind and +display the result of executing one of the implemented algorithms. +Consult the output of `test.py --help` to learn how to use the script. + +``` +> ./test.py --input best --length 1000 median_heaps +499.5 +``` + +``` +> ./test.py --input worst --length 10 quicksort_random +[0, 1, 2, 3, 4, 5, 6, 7, 8, 9] +``` + +Plotting +-------- + +You can generate similar plots you might've seen at +https://tensin.name/sorting-algorithms/ using "plot.py". +Consult the output of `plot.py --help` to learn how to use the script. + +``` +> ./plot.py merge_sort --min 0 --max 200 --input best --iterations 1000 +``` + +``` +> ./plot.py median_sorting --min 0 --max 200 --input average --iterations 100 --output median_sorting.png +``` + +If you're having problems using the script (like having excessive noise in the +measurement results), try minimizing background activity of your OS and +applications. +For example, on Windows 8.1 I got very reasonable plots after booting into Safe +Mode and running the script with a higher priority while also setting its CPU +affinity: + +``` +> start /affinity 1 /realtime plot.py ... +``` + +License +------- + +Distributed under the MIT License. +See [LICENSE.txt] for details. + +[LICENSE.txt]: LICENSE.txt |