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+// Copyright 2018 Developers of the Rand project.
+// Copyright 2013-2017 The Rust Project Developers.
+//
+// Licensed under the Apache License, Version 2.0 <LICENSE-APACHE or
+// https://www.apache.org/licenses/LICENSE-2.0> or the MIT license
+// <LICENSE-MIT or https://opensource.org/licenses/MIT>, at your
+// option. This file may not be copied, modified, or distributed
+// except according to those terms.
+
+//! Distribution trait and associates
+
+use crate::Rng;
+use core::iter;
+#[cfg(feature = "alloc")]
+use alloc::string::String;
+
+/// Types (distributions) that can be used to create a random instance of `T`.
+///
+/// It is possible to sample from a distribution through both the
+/// `Distribution` and [`Rng`] traits, via `distr.sample(&mut rng)` and
+/// `rng.sample(distr)`. They also both offer the [`sample_iter`] method, which
+/// produces an iterator that samples from the distribution.
+///
+/// All implementations are expected to be immutable; this has the significant
+/// advantage of not needing to consider thread safety, and for most
+/// distributions efficient state-less sampling algorithms are available.
+///
+/// Implementations are typically expected to be portable with reproducible
+/// results when used with a PRNG with fixed seed; see the
+/// [portability chapter](https://rust-random.github.io/book/portability.html)
+/// of The Rust Rand Book. In some cases this does not apply, e.g. the `usize`
+/// type requires different sampling on 32-bit and 64-bit machines.
+///
+/// [`sample_iter`]: Distribution::sample_iter
+pub trait Distribution<T> {
+ /// Generate a random value of `T`, using `rng` as the source of randomness.
+ fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> T;
+
+ /// Create an iterator that generates random values of `T`, using `rng` as
+ /// the source of randomness.
+ ///
+ /// Note that this function takes `self` by value. This works since
+ /// `Distribution<T>` is impl'd for `&D` where `D: Distribution<T>`,
+ /// however borrowing is not automatic hence `distr.sample_iter(...)` may
+ /// need to be replaced with `(&distr).sample_iter(...)` to borrow or
+ /// `(&*distr).sample_iter(...)` to reborrow an existing reference.
+ ///
+ /// # Example
+ ///
+ /// ```
+ /// use rand::thread_rng;
+ /// use rand::distributions::{Distribution, Alphanumeric, Uniform, Standard};
+ ///
+ /// let mut rng = thread_rng();
+ ///
+ /// // Vec of 16 x f32:
+ /// let v: Vec<f32> = Standard.sample_iter(&mut rng).take(16).collect();
+ ///
+ /// // String:
+ /// let s: String = Alphanumeric
+ /// .sample_iter(&mut rng)
+ /// .take(7)
+ /// .map(char::from)
+ /// .collect();
+ ///
+ /// // Dice-rolling:
+ /// let die_range = Uniform::new_inclusive(1, 6);
+ /// let mut roll_die = die_range.sample_iter(&mut rng);
+ /// while roll_die.next().unwrap() != 6 {
+ /// println!("Not a 6; rolling again!");
+ /// }
+ /// ```
+ fn sample_iter<R>(self, rng: R) -> DistIter<Self, R, T>
+ where
+ R: Rng,
+ Self: Sized,
+ {
+ DistIter {
+ distr: self,
+ rng,
+ phantom: ::core::marker::PhantomData,
+ }
+ }
+
+ /// Create a distribution of values of 'S' by mapping the output of `Self`
+ /// through the closure `F`
+ ///
+ /// # Example
+ ///
+ /// ```
+ /// use rand::thread_rng;
+ /// use rand::distributions::{Distribution, Uniform};
+ ///
+ /// let mut rng = thread_rng();
+ ///
+ /// let die = Uniform::new_inclusive(1, 6);
+ /// let even_number = die.map(|num| num % 2 == 0);
+ /// while !even_number.sample(&mut rng) {
+ /// println!("Still odd; rolling again!");
+ /// }
+ /// ```
+ fn map<F, S>(self, func: F) -> DistMap<Self, F, T, S>
+ where
+ F: Fn(T) -> S,
+ Self: Sized,
+ {
+ DistMap {
+ distr: self,
+ func,
+ phantom: ::core::marker::PhantomData,
+ }
+ }
+}
+
+impl<'a, T, D: Distribution<T>> Distribution<T> for &'a D {
+ fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> T {
+ (*self).sample(rng)
+ }
+}
+
+/// An iterator that generates random values of `T` with distribution `D`,
+/// using `R` as the source of randomness.
+///
+/// This `struct` is created by the [`sample_iter`] method on [`Distribution`].
+/// See its documentation for more.
+///
+/// [`sample_iter`]: Distribution::sample_iter
+#[derive(Debug)]
+pub struct DistIter<D, R, T> {
+ distr: D,
+ rng: R,
+ phantom: ::core::marker::PhantomData<T>,
+}
+
+impl<D, R, T> Iterator for DistIter<D, R, T>
+where
+ D: Distribution<T>,
+ R: Rng,
+{
+ type Item = T;
+
+ #[inline(always)]
+ fn next(&mut self) -> Option<T> {
+ // Here, self.rng may be a reference, but we must take &mut anyway.
+ // Even if sample could take an R: Rng by value, we would need to do this
+ // since Rng is not copyable and we cannot enforce that this is "reborrowable".
+ Some(self.distr.sample(&mut self.rng))
+ }
+
+ fn size_hint(&self) -> (usize, Option<usize>) {
+ (usize::max_value(), None)
+ }
+}
+
+impl<D, R, T> iter::FusedIterator for DistIter<D, R, T>
+where
+ D: Distribution<T>,
+ R: Rng,
+{
+}
+
+#[cfg(features = "nightly")]
+impl<D, R, T> iter::TrustedLen for DistIter<D, R, T>
+where
+ D: Distribution<T>,
+ R: Rng,
+{
+}
+
+/// A distribution of values of type `S` derived from the distribution `D`
+/// by mapping its output of type `T` through the closure `F`.
+///
+/// This `struct` is created by the [`Distribution::map`] method.
+/// See its documentation for more.
+#[derive(Debug)]
+pub struct DistMap<D, F, T, S> {
+ distr: D,
+ func: F,
+ phantom: ::core::marker::PhantomData<fn(T) -> S>,
+}
+
+impl<D, F, T, S> Distribution<S> for DistMap<D, F, T, S>
+where
+ D: Distribution<T>,
+ F: Fn(T) -> S,
+{
+ fn sample<R: Rng + ?Sized>(&self, rng: &mut R) -> S {
+ (self.func)(self.distr.sample(rng))
+ }
+}
+
+/// `String` sampler
+///
+/// Sampling a `String` of random characters is not quite the same as collecting
+/// a sequence of chars. This trait contains some helpers.
+#[cfg(feature = "alloc")]
+pub trait DistString {
+ /// Append `len` random chars to `string`
+ fn append_string<R: Rng + ?Sized>(&self, rng: &mut R, string: &mut String, len: usize);
+
+ /// Generate a `String` of `len` random chars
+ #[inline]
+ fn sample_string<R: Rng + ?Sized>(&self, rng: &mut R, len: usize) -> String {
+ let mut s = String::new();
+ self.append_string(rng, &mut s, len);
+ s
+ }
+}
+
+#[cfg(test)]
+mod tests {
+ use crate::distributions::{Distribution, Uniform};
+ use crate::Rng;
+
+ #[test]
+ fn test_distributions_iter() {
+ use crate::distributions::Open01;
+ let mut rng = crate::test::rng(210);
+ let distr = Open01;
+ let mut iter = Distribution::<f32>::sample_iter(distr, &mut rng);
+ let mut sum: f32 = 0.;
+ for _ in 0..100 {
+ sum += iter.next().unwrap();
+ }
+ assert!(0. < sum && sum < 100.);
+ }
+
+ #[test]
+ fn test_distributions_map() {
+ let dist = Uniform::new_inclusive(0, 5).map(|val| val + 15);
+
+ let mut rng = crate::test::rng(212);
+ let val = dist.sample(&mut rng);
+ assert!((15..=20).contains(&val));
+ }
+
+ #[test]
+ fn test_make_an_iter() {
+ fn ten_dice_rolls_other_than_five<R: Rng>(
+ rng: &mut R,
+ ) -> impl Iterator<Item = i32> + '_ {
+ Uniform::new_inclusive(1, 6)
+ .sample_iter(rng)
+ .filter(|x| *x != 5)
+ .take(10)
+ }
+
+ let mut rng = crate::test::rng(211);
+ let mut count = 0;
+ for val in ten_dice_rolls_other_than_five(&mut rng) {
+ assert!((1..=6).contains(&val) && val != 5);
+ count += 1;
+ }
+ assert_eq!(count, 10);
+ }
+
+ #[test]
+ #[cfg(feature = "alloc")]
+ fn test_dist_string() {
+ use core::str;
+ use crate::distributions::{Alphanumeric, DistString, Standard};
+ let mut rng = crate::test::rng(213);
+
+ let s1 = Alphanumeric.sample_string(&mut rng, 20);
+ assert_eq!(s1.len(), 20);
+ assert_eq!(str::from_utf8(s1.as_bytes()), Ok(s1.as_str()));
+
+ let s2 = Standard.sample_string(&mut rng, 20);
+ assert_eq!(s2.chars().count(), 20);
+ assert_eq!(str::from_utf8(s2.as_bytes()), Ok(s2.as_str()));
+ }
+}