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Fix crates.io badge, use HTTPS for links, and use SPDX license format #16

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Fix crates.io badge, use HTTPS for links, and use SPDX license format #16

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cdfa10b
Use HTTPS for links
atouchet May 22, 2021
fdda634
Fix crates.io badge
atouchet Nov 22, 2022
22442f8
Use SPDX license format
atouchet Dec 20, 2022
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2 changes: 1 addition & 1 deletion Cargo.toml
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Original file line number Diff line number Diff line change
Expand Up @@ -8,7 +8,7 @@ homepage = "https://github.com/BurntSushi/rust-stats"
repository = "https://github.com/BurntSushi/rust-stats"
readme = "README.md"
keywords = ["statistics", "stats", "median", "mean", "stddev"]
license = "Unlicense/MIT"
license = "Unlicense OR MIT"

[lib]
name = "stats"
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4 changes: 2 additions & 2 deletions README.md
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Expand Up @@ -3,9 +3,9 @@ some support for computing them efficiently on *streams* of data. The intent
is to permit parallel computation of statistics on large data sets.

[![Build status](https://api.travis-ci.org/BurntSushi/rust-stats.png)](https://travis-ci.org/BurntSushi/rust-stats)
[![](http://meritbadge.herokuapp.com/streaming-stats)](https://crates.io/crates/streaming-stats)
[![crates.io](https://img.shields.io/crates/v/streaming-stats.svg)](https://crates.io/crates/streaming-stats)

Dual-licensed under MIT or the [UNLICENSE](http://unlicense.org).
Dual-licensed under MIT or the [UNLICENSE](https://unlicense.org/).


### Documentation
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6 changes: 3 additions & 3 deletions src/online.rs
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Expand Up @@ -63,8 +63,8 @@ impl OnlineStats {
/// Add a new sample.
pub fn add<T: ToPrimitive>(&mut self, sample: T) {
let sample = sample.to_f64().unwrap();
// Taken from: http://goo.gl/JKeqvj
// See also: http://goo.gl/qTtI3V
// Taken from: https://goo.gl/JKeqvj
// See also: https://goo.gl/qTtI3V
let oldmean = self.mean;
let prevq = self.variance * (self.size as f64);

Expand All @@ -89,7 +89,7 @@ impl OnlineStats {

impl Commute for OnlineStats {
fn merge(&mut self, v: OnlineStats) {
// Taken from: http://goo.gl/iODi28
// Taken from: https://goo.gl/iODi28
let (s1, s2) = (self.size as f64, v.size as f64);
let meandiffsq = (self.mean - v.mean) * (self.mean - v.mean);
let mean = ((s1 * self.mean) + (s2 * v.mean)) / (s1 + s2);
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