Improve quality of f32/f64 generation.

src/global_rng.rs

@@ -176,11 +176,21 @@ pub fn f32() -> f32 {
     with_rng(|r| r.f32())
 }
 
+/// Generates a random `f32` in range `0..=1`.
+pub fn f32_inclusive() -> f32 {
+    with_rng(|r| r.f32_inclusive())
+}
+
 /// Generates a random `f64` in range `0..1`.
 pub fn f64() -> f64 {
     with_rng(|r| r.f64())
 }
 
+/// Generates a random `f64` in range `0..=1`.
+pub fn f64_inclusive() -> f64 {
+    with_rng(|r| r.f64_inclusive())
+}
+
 /// Collects `amount` values at random from the iterable into a vector.
 pub fn choose_multiple<I: IntoIterator>(source: I, amount: usize) -> Vec<I::Item> {
     with_rng(|rng| rng.choose_multiple(source, amount))

src/lib.rs

@@ -364,18 +364,67 @@ impl Rng {
         }
     }
 
+    /// Generates a random `f32` in range `0..=1`.
+    #[inline]
+    pub fn f32_inclusive(&mut self) -> f32 {
+        // Generate a number in 0..2^63 then convert to f32 and multiply by 2^(-63).
+        //
+        // Even though we're returning f32, we still generate u64 internally to make
+        // it possible to return nonzero numbers as small as 2^(-63). If we only
+        // generated u32 internally, the smallest nonzero number we could return
+        // would be 2^(-32).
+        //
+        // The integer we generate is in 0..2^63 rather than 0..2^64 to improve speed
+        // on x86-64, which has efficient i64->float conversion (cvtsi2ss) but for
+        // which u64->float conversion must be implemented in software.
+        //
+        // There is still some remaining bias in the int-to-float conversion, because
+        // nonzero numbers <=2^(-64) are never generated, even though they are
+        // expressible in f32. However, at this point the bias in int-to-float conversion
+        // is no larger than the bias in the underlying WyRand generator: since it only
+        // has a 64-bit state, it necessarily already have biases of at least 2^(-64)
+        // probability.
+        //
+        // See e.g. Section 3.1 of Thomas, David B., et al. "Gaussian random number generators,
+        // https://www.doc.ic.ac.uk/~wl/papers/07/csur07dt.pdf, for background.
+        const MUL: f32 = 1.0 / (1u64 << 63) as f32;
+        (self.gen_u64() >> 1) as f32 * MUL
+    }
+
     /// Generates a random `f32` in range `0..1`.
+    ///
+    /// Function `f32_inclusive()` is a little simpler and faster, so default
+    /// to that if inclusive range is acceptable.
+    #[inline]
     pub fn f32(&mut self) -> f32 {
-        let b = 32;
-        let f = core::f32::MANTISSA_DIGITS - 1;
-        f32::from_bits((1 << (b - 2)) - (1 << f) + (self.u32(..) >> (b - f))) - 1.0
+        loop {
+            let x = self.f32_inclusive();
+            if x < 1.0 {
+                return x;
+            }
+        }
+    }
+
+    /// Generates a random `f64` in range `0..=1`.
+    #[inline]
+    pub fn f64_inclusive(&mut self) -> f64 {
+        // See the comment in f32_inclusive() for more details.
+        const MUL: f64 = 1.0 / (1u64 << 63) as f64;
+        (self.gen_u64() >> 1) as f64 * MUL
     }
 
     /// Generates a random `f64` in range `0..1`.
+    ///
+    /// Function `f64_inclusive()` is a little simpler and faster, so default
+    /// to that if inclusive range is acceptable.
+    #[inline]
     pub fn f64(&mut self) -> f64 {
-        let b = 64;
-        let f = core::f64::MANTISSA_DIGITS - 1;
-        f64::from_bits((1 << (b - 2)) - (1 << f) + (self.u64(..) >> (b - f))) - 1.0
+        loop {
+            let x = self.f64_inclusive();
+            if x < 1.0 {
+                return x;
+            }
+        }
     }
 
     /// Collects `amount` values at random from the iterable into a vector.

tests/smoke.rs

@@ -77,59 +77,72 @@ fn u128() {
 
 #[test]
 fn f32() {
-    for _ in 0..1000 {
-        let result = fastrand::f32();
-        assert!((0.0..1.0).contains(&result));
-    }
-}
-
-#[test]
-fn f64() {
-    for _ in 0..1000 {
-        let result = fastrand::f64();
-        assert!((0.0..1.0).contains(&result));
-    }
-}
-
-#[test]
-fn digit() {
-    for base in 1..36 {
-        let result = fastrand::digit(base);
-        assert!(result.is_ascii_digit() || result.is_ascii_lowercase());
-    }
-}
-
-#[test]
-fn global_rng_choice() {
-    let items = [1, 4, 9, 5, 2, 3, 6, 7, 8, 0];
-
-    for item in &items {
-        while fastrand::choice(&items).unwrap() != item {}
+    let mut r = fastrand::Rng::with_seed(0);
+    let tiny = (-24.0f32).exp2();
+    let mut count_tiny_nonzero = 0;
+    let mut count_top_half = 0;
+    for _ in 0..100_000_000 {
+        let x = r.f32();
+        assert!((0.0..1.0).contains(&x));
+        if x > 0.0 && x < tiny {
+            count_tiny_nonzero += 1;
+        } else if x > 0.5 {
+            count_top_half += 1;
+        }
     }
+    assert!(count_top_half >= 49_000_000);
+    assert!(count_tiny_nonzero > 0);
 }
 
 #[test]
-fn global_rng_alphabetic() {
-    for _ in 0..1000 {
-        let result = fastrand::alphabetic();
-        assert!(result.is_ascii_alphabetic())
+fn f32_inclusive() {
+    let mut r = fastrand::Rng::with_seed(0);
+    let tiny = (-24.0f32).exp2();
+    let mut count_top_half = 0;
+    let mut count_tiny_nonzero = 0;
+    let mut count_one = 0;
+    for _ in 0..100_000_000 {
+        let x = r.f32_inclusive();
+        assert!((0.0..=1.0).contains(&x));
+        if x == 1.0 {
+            count_one += 1;
+        } else if x > 0.5 {
+            count_top_half += 1;
+        } else if x > 0.0 && x < tiny {
+            count_tiny_nonzero += 1;
+        }
     }
+    assert!(count_top_half >= 49_000_000);
+    assert!(count_one > 0);
+    assert!(count_tiny_nonzero > 0);
 }
 
 #[test]
-fn global_rng_lowercase() {
-    for _ in 0..1000 {
-        let result = fastrand::lowercase();
-        assert!(result.is_ascii_lowercase())
+fn f64() {
+    let mut r = fastrand::Rng::with_seed(0);
+    let mut count_top_half = 0;
+    for _ in 0..100_000_000 {
+        let x = r.f64();
+        assert!((0.0..1.0).contains(&x));
+        if x > 0.5 {
+            count_top_half += 1;
+        }
     }
+    assert!(count_top_half >= 49_000_000);
 }
 
 #[test]
-fn global_rng_uppercase() {
-    for _ in 0..1000 {
-        let result = fastrand::uppercase();
-        assert!(result.is_ascii_uppercase())
+fn f64_inclusive() {
+    let mut r = fastrand::Rng::with_seed(0);
+    let mut count_top_half = 0;
+    for _ in 0..100_000_000 {
+        let x = r.f64_inclusive();
+        assert!((0.0..=1.0).contains(&x));
+        if x > 0.5 {
+            count_top_half += 1;
+        }
     }
+    assert!(count_top_half >= 49_000_000);
 }
 
 #[test]