Documentation

rand_core/src/impls.rs

@@ -119,7 +119,7 @@ macro_rules! fill_via_chunks {
 /// # Example
 /// (from `IsaacRng`)
 ///
-/// ```rust,ignore
+/// ```ignore
 /// fn fill_bytes(&mut self, dest: &mut [u8]) {
 ///     let mut read_len = 0;
 ///     while read_len < dest.len() {

rand_core/src/lib.rs

@@ -109,7 +109,7 @@ pub mod le;
 /// 
 /// A simple example, obviously not generating very *random* output:
 /// 
-/// ```rust
+/// ```
 /// #![allow(dead_code)]
 /// use rand_core::{RngCore, Error, impls};
 /// 

src/distributions/binomial.rs

@@ -22,7 +22,7 @@ use std::f64::consts::PI;
 ///
 /// # Example
 ///
-/// ```rust
+/// ```
 /// use rand::distributions::{Binomial, Distribution};
 ///
 /// let bin = Binomial::new(20, 0.3);

src/distributions/exponential.rs

@@ -29,7 +29,7 @@ use distributions::{ziggurat, ziggurat_tables, Distribution};
 /// College, Oxford
 ///
 /// # Example
-/// ```rust
+/// ```
 /// use rand::prelude::*;
 /// use rand::distributions::Exp1;
 ///
@@ -66,7 +66,7 @@ impl Distribution<f64> for Exp1 {
 ///
 /// # Example
 ///
-/// ```rust
+/// ```
 /// use rand::distributions::{Exp, Distribution};
 ///
 /// let exp = Exp::new(2.0);

src/distributions/float.rs

@@ -27,7 +27,7 @@ use distributions::{Distribution, Standard};
 /// ranges.
 ///
 /// # Example
-/// ```rust
+/// ```
 /// use rand::{thread_rng, Rng};
 /// use rand::distributions::OpenClosed01;
 ///
@@ -53,7 +53,7 @@ pub struct OpenClosed01;
 /// ranges.
 ///
 /// # Example
-/// ```rust
+/// ```
 /// use rand::{thread_rng, Rng};
 /// use rand::distributions::Open01;
 ///

src/distributions/gamma.rs

@@ -35,7 +35,7 @@ use distributions::{Distribution, Exp, Open01};
 ///
 /// # Example
 ///
-/// ```rust
+/// ```
 /// use rand::distributions::{Distribution, Gamma};
 ///
 /// let gamma = Gamma::new(2.0, 5.0);
@@ -178,7 +178,7 @@ impl Distribution<f64> for GammaLargeShape {
 ///
 /// # Example
 ///
-/// ```rust
+/// ```
 /// use rand::distributions::{ChiSquared, Distribution};
 ///
 /// let chi = ChiSquared::new(11.0);
@@ -233,7 +233,7 @@ impl Distribution<f64> for ChiSquared {
 ///
 /// # Example
 ///
-/// ```rust
+/// ```
 /// use rand::distributions::{FisherF, Distribution};
 ///
 /// let f = FisherF::new(2.0, 32.0);
@@ -274,7 +274,7 @@ impl Distribution<f64> for FisherF {
 ///
 /// # Example
 ///
-/// ```rust
+/// ```
 /// use rand::distributions::{StudentT, Distribution};
 ///
 /// let t = StudentT::new(11.0);

src/distributions/mod.rs

@@ -83,6 +83,7 @@
 //!   - [`Normal`] distribution, and [`StandardNormal`] as a primitive
 //! - Related to Bernoulli trials (yes/no events, with a given probability):
 //!   - [`Binomial`] distribution
+//!   - [`Bernoulli`] distribution, similar to [`Rng::gen_bool`].
 //! - Related to positive real-valued quantities that grow exponentially
 //!   (e.g. prices, incomes, populations):
 //!   - [`LogNormal`] distribution
@@ -145,6 +146,7 @@
 //! [Floating point implementation]: struct.Standard.html#floating-point-implementation
 // distributions
 //! [`Alphanumeric`]: struct.Alphanumeric.html
+//! [`Bernoulli`]: struct.Bernoulli.html
 //! [`Binomial`]: struct.Binomial.html
 //! [`ChiSquared`]: struct.ChiSquared.html
 //! [`Exp`]: struct.Exp.html

src/distributions/normal.rs

@@ -27,7 +27,7 @@ use distributions::{ziggurat, ziggurat_tables, Distribution, Open01};
 /// College, Oxford
 ///
 /// # Example
-/// ```rust
+/// ```
 /// use rand::prelude::*;
 /// use rand::distributions::StandardNormal;
 ///
@@ -79,7 +79,7 @@ impl Distribution<f64> for StandardNormal {
 ///
 /// # Example
 ///
-/// ```rust
+/// ```
 /// use rand::distributions::{Normal, Distribution};
 ///
 /// // mean 2, standard deviation 3
@@ -124,7 +124,7 @@ impl Distribution<f64> for Normal {
 ///
 /// # Example
 ///
-/// ```rust
+/// ```
 /// use rand::distributions::{LogNormal, Distribution};
 ///
 /// // mean 2, standard deviation 3

src/distributions/other.rs

@@ -23,7 +23,7 @@ use distributions::{Distribution, Standard, Uniform};
 /// 
 /// # Example
 ///
-/// ```rust
+/// ```
 /// use std::iter;
 /// use rand::{Rng, thread_rng};
 /// use rand::distributions::Alphanumeric;

src/distributions/poisson.rs

@@ -22,7 +22,7 @@ use std::f64::consts::PI;
 ///
 /// # Example
 ///
-/// ```rust
+/// ```
 /// use rand::distributions::{Poisson, Distribution};
 ///
 /// let poi = Poisson::new(2.0);