Simple, space-efficient algorithm to compute the median of an accumulation of elements.
O(1)
)O(D)
space, D being the number of different samples, not the total number of samplesO(log(N))
T: Clone + Ord
Faster than other implementations if there are samples having the same value. If this is not your case, you should use another implementation.
```rust use median_accumulator::*;
let mut acc = vec::MedianAcc::new();
asserteq!(acc.getmedian(), None); acc.push(7); asserteq!(acc.getmedian(), Some(MedianResult::One(7))); acc.push(5); asserteq!(acc.getmedian(), Some(MedianResult::Two(5, 7))); acc.push(7); asserteq!(acc.getmedian(), Some(MedianResult::One(7))); ```
If you ever encounter an unreachable
panic, please file an issue or send me an e-mail.
Example with smallvec: (smallvec
feature required)
```rust use median_accumulator::*;
let mut acc = MedianAcc:: For other collections than CopyLeft 2022-2023 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/.Vec
or SmallVec
, you must implement cc-traits and InsertIndex
.License