| benches | ||
| src | ||
| .gitignore | ||
| Cargo.toml | ||
| LICENSE | ||
| README.md | ||
| rustfmt.toml | ||
Median accumulator
Simple, space-efficient algorithm to compute the median of an accumulation of elements.
- Push-only (no running window)
- Median is updated at each push (getting the median is always
O(1)) - Space-efficient:
O(D)space, D being the number of different samples, not the total number of samples - Time-efficient: push is
O(log(N)) - Generic:
T: Clone + Ord - No unsafe
- no_std (optional): supports generic collections
Faster than other implementations if lots of samples have the same value. If this is not your case, you should use another implementation.
Use
use median_accumulator::*;
let mut acc = vec::MedianAcc::new();
assert_eq!(acc.get_median(), None);
acc.push(7);
assert_eq!(acc.get_median(), Some(MedianResult::One(7)));
acc.push(5);
assert_eq!(acc.get_median(), Some(MedianResult::Two(5, 7)));
acc.push(7);
assert_eq!(acc.get_median(), Some(MedianResult::One(7)));
If you ever encounter an unreachable panic, please file an issue or send me an e-mail.
no_std
Example with smallvec: (smallvec feature required)
use median_accumulator::*;
let mut acc = MedianAcc::<i32, smallvec::SmallVec<[(i32, u32); 64]>>::new();
For other collections than Vec or SmallVec, you must implement cc-traits and InsertIndex.
License
CopyLeft 2022-2024 Pascal Engélibert (why copyleft?)
This program is free software: you can redistribute it and/or modify it under the terms of the GNU Affero General Public License as published by the Free Software Foundation, version 3 of the License.
This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License along with this program. If not, see https://www.gnu.org/licenses/.