summaryrefslogtreecommitdiff
path: root/rand/src/distributions/poisson.rs
diff options
context:
space:
mode:
Diffstat (limited to 'rand/src/distributions/poisson.rs')
-rw-r--r--rand/src/distributions/poisson.rs26
1 files changed, 10 insertions, 16 deletions
diff --git a/rand/src/distributions/poisson.rs b/rand/src/distributions/poisson.rs
index 1244caa..9fd6e99 100644
--- a/rand/src/distributions/poisson.rs
+++ b/rand/src/distributions/poisson.rs
@@ -8,25 +8,17 @@
// except according to those terms.
//! The Poisson distribution.
+#![allow(deprecated)]
-use Rng;
-use distributions::{Distribution, Cauchy};
-use distributions::utils::log_gamma;
+use crate::Rng;
+use crate::distributions::{Distribution, Cauchy};
+use crate::distributions::utils::log_gamma;
/// The Poisson distribution `Poisson(lambda)`.
///
/// This distribution has a density function:
/// `f(k) = lambda^k * exp(-lambda) / k!` for `k >= 0`.
-///
-/// # Example
-///
-/// ```
-/// use rand::distributions::{Poisson, Distribution};
-///
-/// let poi = Poisson::new(2.0);
-/// let v = poi.sample(&mut rand::thread_rng());
-/// println!("{} is from a Poisson(2) distribution", v);
-/// ```
+#[deprecated(since="0.7.0", note="moved to rand_distr crate")]
#[derive(Clone, Copy, Debug)]
pub struct Poisson {
lambda: f64,
@@ -113,13 +105,14 @@ impl Distribution<u64> for Poisson {
#[cfg(test)]
mod test {
- use distributions::Distribution;
+ use crate::distributions::Distribution;
use super::Poisson;
#[test]
+ #[cfg(not(miri))] // Miri is too slow
fn test_poisson_10() {
let poisson = Poisson::new(10.0);
- let mut rng = ::test::rng(123);
+ let mut rng = crate::test::rng(123);
let mut sum = 0;
for _ in 0..1000 {
sum += poisson.sample(&mut rng);
@@ -130,10 +123,11 @@ mod test {
}
#[test]
+ #[cfg(not(miri))] // Miri doesn't support transcendental functions
fn test_poisson_15() {
// Take the 'high expected values' path
let poisson = Poisson::new(15.0);
- let mut rng = ::test::rng(123);
+ let mut rng = crate::test::rng(123);
let mut sum = 0;
for _ in 0..1000 {
sum += poisson.sample(&mut rng);