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author | Egor Tensin <Egor.Tensin@gmail.com> | 2016-04-17 23:32:44 +0300 |
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committer | Egor Tensin <Egor.Tensin@gmail.com> | 2016-04-17 23:32:44 +0300 |
commit | 185a9e4f00d9269a3711ada8ce5daf9de7a8173e (patch) | |
tree | 87d96beb0eab3e5f3ef739042bd3492c44a98e38 /README.md | |
parent | median: quicksort instead of .sort() (diff) | |
download | sorting-algorithms-185a9e4f00d9269a3711ada8ce5daf9de7a8173e.tar.gz sorting-algorithms-185a9e4f00d9269a3711ada8ce5daf9de7a8173e.zip |
refactoring + better plot captions
Diffstat (limited to 'README.md')
-rw-r--r-- | README.md | 6 |
1 files changed, 3 insertions, 3 deletions
@@ -65,9 +65,9 @@ below. **matplotlib** | 1.5.1 | Each of the implemented algorithms was provided with three input sequences: -* a list of *n* consecutive numbers sorted in ascending order ("sorted" input), -* ... in descending order ("reversed" input), -* ... in random order ("randomized" input). +* a list of *n* consecutive numbers sorted in ascending order, +* ... in descending order, +* ... in random order. You can generate the plots using `plot.py`. Consult the output of `plot.py -h` to learn how to use the script. |