use std::mem;
use std::ops::Neg;
use std::num::FpCategory;
// Used for default implementation of `epsilon`
use std::f32;
use {Num, NumCast};
// FIXME: these doctests aren't actually helpful, because they're using and
// testing the inherent methods directly, not going through `Float`.
pub trait Float
: Num
+ Copy
+ NumCast
+ PartialOrd
+ Neg<Output = Self>
{
/// Returns the `NaN` value.
///
/// ```
/// use num_traits::Float;
///
/// let nan: f32 = Float::nan();
///
/// assert!(nan.is_nan());
/// ```
fn nan() -> Self;
/// Returns the infinite value.
///
/// ```
/// use num_traits::Float;
/// use std::f32;
///
/// let infinity: f32 = Float::infinity();
///
/// assert!(infinity.is_infinite());
/// assert!(!infinity.is_finite());
/// assert!(infinity > f32::MAX);
/// ```
fn infinity() -> Self;
/// Returns the negative infinite value.
///
/// ```
/// use num_traits::Float;
/// use std::f32;
///
/// let neg_infinity: f32 = Float::neg_infinity();
///
/// assert!(neg_infinity.is_infinite());
/// assert!(!neg_infinity.is_finite());
/// assert!(neg_infinity < f32::MIN);
/// ```
fn neg_infinity() -> Self;
/// Returns `-0.0`.
///
/// ```
/// use num_traits::{Zero, Float};
///
/// let inf: f32 = Float::infinity();
/// let zero: f32 = Zero::zero();
/// let neg_zero: f32 = Float::neg_zero();
///
/// assert_eq!(zero, neg_zero);
/// assert_eq!(7.0f32/inf, zero);
/// assert_eq!(zero * 10.0, zero);
/// ```
fn neg_zero() -> Self;
/// Returns the smallest finite value that this type can represent.
///
/// ```
/// use num_traits::Float;
/// use std::f64;
///
/// let x: f64 = Float::min_value();
///
/// assert_eq!(x, f64::MIN);
/// ```
fn min_value() -> Self;
/// Returns the smallest positive, normalized value that this type can represent.
///
/// ```
/// use num_traits::Float;
/// use std::f64;
///
/// let x: f64 = Float::min_positive_value();
///
/// assert_eq!(x, f64::MIN_POSITIVE);
/// ```
fn min_positive_value() -> Self;
/// Returns epsilon, a small positive value.
///
/// ```
/// use num_traits::Float;
/// use std::f64;
///
/// let x: f64 = Float::epsilon();
///
/// assert_eq!(x, f64::EPSILON);
/// ```
///
/// # Panics
///
/// The default implementation will panic if `f32::EPSILON` cannot
/// be cast to `Self`.
fn epsilon() -> Self {
Self::from(f32::EPSILON).expect("Unable to cast from f32::EPSILON")
}
/// Returns the largest finite value that this type can represent.
///
/// ```
/// use num_traits::Float;
/// use std::f64;
///
/// let x: f64 = Float::max_value();
/// assert_eq!(x, f64::MAX);
/// ```
fn max_value() -> Self;
/// Returns `true` if this value is `NaN` and false otherwise.
///
/// ```
/// use num_traits::Float;
/// use std::f64;
///
/// let nan = f64::NAN;
/// let f = 7.0;
///
/// assert!(nan.is_nan());
/// assert!(!f.is_nan());
/// ```
fn is_nan(self) -> bool;
/// Returns `true` if this value is positive infinity or negative infinity and
/// false otherwise.
///
/// ```
/// use num_traits::Float;
/// use std::f32;
///
/// let f = 7.0f32;
/// let inf: f32 = Float::infinity();
/// let neg_inf: f32 = Float::neg_infinity();
/// let nan: f32 = f32::NAN;
///
/// assert!(!f.is_infinite());
/// assert!(!nan.is_infinite());
///
/// assert!(inf.is_infinite());
/// assert!(neg_inf.is_infinite());
/// ```
fn is_infinite(self) -> bool;
/// Returns `true` if this number is neither infinite nor `NaN`.
///
/// ```
/// use num_traits::Float;
/// use std::f32;
///
/// let f = 7.0f32;
/// let inf: f32 = Float::infinity();
/// let neg_inf: f32 = Float::neg_infinity();
/// let nan: f32 = f32::NAN;
///
/// assert!(f.is_finite());
///
/// assert!(!nan.is_finite());
/// assert!(!inf.is_finite());
/// assert!(!neg_inf.is_finite());
/// ```
fn is_finite(self) -> bool;
/// Returns `true` if the number is neither zero, infinite,
/// [subnormal][subnormal], or `NaN`.
///
/// ```
/// use num_traits::Float;
/// use std::f32;
///
/// let min = f32::MIN_POSITIVE; // 1.17549435e-38f32
/// let max = f32::MAX;
/// let lower_than_min = 1.0e-40_f32;
/// let zero = 0.0f32;
///
/// assert!(min.is_normal());
/// assert!(max.is_normal());
///
/// assert!(!zero.is_normal());
/// assert!(!f32::NAN.is_normal());
/// assert!(!f32::INFINITY.is_normal());
/// // Values between `0` and `min` are Subnormal.
/// assert!(!lower_than_min.is_normal());
/// ```
/// [subnormal]: http://en.wikipedia.org/wiki/Denormal_number
fn is_normal(self) -> bool;
/// Returns the floating point category of the number. If only one property
/// is going to be tested, it is generally faster to use the specific
/// predicate instead.
///
/// ```
/// use num_traits::Float;
/// use std::num::FpCategory;
/// use std::f32;
///
/// let num = 12.4f32;
/// let inf = f32::INFINITY;
///
/// assert_eq!(num.classify(), FpCategory::Normal);
/// assert_eq!(inf.classify(), FpCategory::Infinite);
/// ```
fn classify(self) -> FpCategory;
/// Returns the largest integer less than or equal to a number.
///
/// ```
/// use num_traits::Float;
///
/// let f = 3.99;
/// let g = 3.0;
///
/// assert_eq!(f.floor(), 3.0);
/// assert_eq!(g.floor(), 3.0);
/// ```
fn floor(self) -> Self;
/// Returns the smallest integer greater than or equal to a number.
///
/// ```
/// use num_traits::Float;
///
/// let f = 3.01;
/// let g = 4.0;
///
/// assert_eq!(f.ceil(), 4.0);
/// assert_eq!(g.ceil(), 4.0);
/// ```
fn ceil(self) -> Self;
/// Returns the nearest integer to a number. Round half-way cases away from
/// `0.0`.
///
/// ```
/// use num_traits::Float;
///
/// let f = 3.3;
/// let g = -3.3;
///
/// assert_eq!(f.round(), 3.0);
/// assert_eq!(g.round(), -3.0);
/// ```
fn round(self) -> Self;
/// Return the integer part of a number.
///
/// ```
/// use num_traits::Float;
///
/// let f = 3.3;
/// let g = -3.7;
///
/// assert_eq!(f.trunc(), 3.0);
/// assert_eq!(g.trunc(), -3.0);
/// ```
fn trunc(self) -> Self;
/// Returns the fractional part of a number.
///
/// ```
/// use num_traits::Float;
///
/// let x = 3.5;
/// let y = -3.5;
/// let abs_difference_x = (x.fract() - 0.5).abs();
/// let abs_difference_y = (y.fract() - (-0.5)).abs();
///
/// assert!(abs_difference_x < 1e-10);
/// assert!(abs_difference_y < 1e-10);
/// ```
fn fract(self) -> Self;
/// Computes the absolute value of `self`. Returns `Float::nan()` if the
/// number is `Float::nan()`.
///
/// ```
/// use num_traits::Float;
/// use std::f64;
///
/// let x = 3.5;
/// let y = -3.5;
///
/// let abs_difference_x = (x.abs() - x).abs();
/// let abs_difference_y = (y.abs() - (-y)).abs();
///
/// assert!(abs_difference_x < 1e-10);
/// assert!(abs_difference_y < 1e-10);
///
/// assert!(f64::NAN.abs().is_nan());
/// ```
fn abs(self) -> Self;
/// Returns a number that represents the sign of `self`.
///
/// - `1.0` if the number is positive, `+0.0` or `Float::infinity()`
/// - `-1.0` if the number is negative, `-0.0` or `Float::neg_infinity()`
/// - `Float::nan()` if the number is `Float::nan()`
///
/// ```
/// use num_traits::Float;
/// use std::f64;
///
/// let f = 3.5;
///
/// assert_eq!(f.signum(), 1.0);
/// assert_eq!(f64::NEG_INFINITY.signum(), -1.0);
///
/// assert!(f64::NAN.signum().is_nan());
/// ```
fn signum(self) -> Self;
/// Returns `true` if `self` is positive, including `+0.0` and
/// `Float::infinity()`.
///
/// ```
/// use num_traits::Float;
/// use std::f64;
///
/// let nan: f64 = f64::NAN;
///
/// let f = 7.0;
/// let g = -7.0;
///
/// assert!(f.is_sign_positive());
/// assert!(!g.is_sign_positive());
/// // Requires both tests to determine if is `NaN`
/// assert!(!nan.is_sign_positive() && !nan.is_sign_negative());
/// ```
fn is_sign_positive(self) -> bool;
/// Returns `true` if `self` is negative, including `-0.0` and
/// `Float::neg_infinity()`.
///
/// ```
/// use num_traits::Float;
/// use std::f64;
///
/// let nan = f64::NAN;
///
/// let f = 7.0;
/// let g = -7.0;
///
/// assert!(!f.is_sign_negative());
/// assert!(g.is_sign_negative());
/// // Requires both tests to determine if is `NaN`.
/// assert!(!nan.is_sign_positive() && !nan.is_sign_negative());
/// ```
fn is_sign_negative(self) -> bool;
/// Fused multiply-add. Computes `(self * a) + b` with only one rounding
/// error. This produces a more accurate result with better performance than
/// a separate multiplication operation followed by an add.
///
/// ```
/// use num_traits::Float;
///
/// let m = 10.0;
/// let x = 4.0;
/// let b = 60.0;
///
/// // 100.0
/// let abs_difference = (m.mul_add(x, b) - (m*x + b)).abs();
///
/// assert!(abs_difference < 1e-10);
/// ```
fn mul_add(self, a: Self, b: Self) -> Self;
/// Take the reciprocal (inverse) of a number, `1/x`.
///
/// ```
/// use num_traits::Float;
///
/// let x = 2.0;
/// let abs_difference = (x.recip() - (1.0/x)).abs();
///
/// assert!(abs_difference < 1e-10);
/// ```
fn recip(self) -> Self;
/// Raise a number to an integer power.
///
/// Using this function is generally faster than using `powf`
///
/// ```
/// use num_traits::Float;
///
/// let x = 2.0;
/// let abs_difference = (x.powi(2) - x*x).abs();
///
/// assert!(abs_difference < 1e-10);
/// ```
fn powi(self, n: i32) -> Self;
/// Raise a number to a floating point power.
///
/// ```
/// use num_traits::Float;
///
/// let x = 2.0;
/// let abs_difference = (x.powf(2.0) - x*x).abs();
///
/// assert!(abs_difference < 1e-10);
/// ```
fn powf(self, n: Self) -> Self;
/// Take the square root of a number.
///
/// Returns NaN if `self` is a negative number.
///
/// ```
/// use num_traits::Float;
///
/// let positive = 4.0;
/// let negative = -4.0;
///
/// let abs_difference = (positive.sqrt() - 2.0).abs();
///
/// assert!(abs_difference < 1e-10);
/// assert!(negative.sqrt().is_nan());
/// ```
fn sqrt(self) -> Self;
/// Returns `e^(self)`, (the exponential function).
///
/// ```
/// use num_traits::Float;
///
/// let one = 1.0;
/// // e^1
/// let e = one.exp();
///
/// // ln(e) - 1 == 0
/// let abs_difference = (e.ln() - 1.0).abs();
///
/// assert!(abs_difference < 1e-10);
/// ```
fn exp(self) -> Self;
/// Returns `2^(self)`.
///
/// ```
/// use num_traits::Float;
///
/// let f = 2.0;
///
/// // 2^2 - 4 == 0
/// let abs_difference = (f.exp2() - 4.0).abs();
///
/// assert!(abs_difference < 1e-10);
/// ```
fn exp2(self) -> Self;
/// Returns the natural logarithm of the number.
///
/// ```
/// use num_traits::Float;
///
/// let one = 1.0;
/// // e^1
/// let e = one.exp();
///
/// // ln(e) - 1 == 0
/// let abs_difference = (e.ln() - 1.0).abs();
///
/// assert!(abs_difference < 1e-10);
/// ```
fn ln(self) -> Self;
/// Returns the logarithm of the number with respect to an arbitrary base.
///
/// ```
/// use num_traits::Float;
///
/// let ten = 10.0;
/// let two = 2.0;
///
/// // log10(10) - 1 == 0
/// let abs_difference_10 = (ten.log(10.0) - 1.0).abs();
///
/// // log2(2) - 1 == 0
/// let abs_difference_2 = (two.log(2.0) - 1.0).abs();
///
/// assert!(abs_difference_10 < 1e-10);
/// assert!(abs_difference_2 < 1e-10);
/// ```
fn log(self, base: Self) -> Self;
/// Returns the base 2 logarithm of the number.
///
/// ```
/// use num_traits::Float;
///
/// let two = 2.0;
///
/// // log2(2) - 1 == 0
/// let abs_difference = (two.log2() - 1.0).abs();
///
/// assert!(abs_difference < 1e-10);
/// ```
fn log2(self) -> Self;
/// Returns the base 10 logarithm of the number.
///
/// ```
/// use num_traits::Float;
///
/// let ten = 10.0;
///
/// // log10(10) - 1 == 0
/// let abs_difference = (ten.log10() - 1.0).abs();
///
/// assert!(abs_difference < 1e-10);
/// ```
fn log10(self) -> Self;
/// Converts radians to degrees.
///
/// ```
/// use std::f64::consts;
///
/// let angle = consts::PI;
///
/// let abs_difference = (angle.to_degrees() - 180.0).abs();
///
/// assert!(abs_difference < 1e-10);
/// ```
#[inline]
fn to_degrees(self) -> Self {
let halfpi = Self::zero().acos();
let ninety = Self::from(90u8).unwrap();
self * ninety / halfpi
}
/// Converts degrees to radians.
///
/// ```
/// use std::f64::consts;
///
/// let angle = 180.0_f64;
///
/// let abs_difference = (angle.to_radians() - consts::PI).abs();
///
/// assert!(abs_difference < 1e-10);
/// ```
#[inline]
fn to_radians(self) -> Self {
let halfpi = Self::zero().acos();
let ninety = Self::from(90u8).unwrap();
self * halfpi / ninety
}
/// Returns the maximum of the two numbers.
///
/// ```
/// use num_traits::Float;
///
/// let x = 1.0;
/// let y = 2.0;
///
/// assert_eq!(x.max(y), y);
/// ```
fn max(self, other: Self) -> Self;
/// Returns the minimum of the two numbers.
///
/// ```
/// use num_traits::Float;
///
/// let x = 1.0;
/// let y = 2.0;
///
/// assert_eq!(x.min(y), x);
/// ```
fn min(self, other: Self) -> Self;
/// The positive difference of two numbers.
///
/// * If `self <= other`: `0:0`
/// * Else: `self - other`
///
/// ```
/// use num_traits::Float;
///
/// let x = 3.0;
/// let y = -3.0;
///
/// let abs_difference_x = (x.abs_sub(1.0) - 2.0).abs();
/// let abs_difference_y = (y.abs_sub(1.0) - 0.0).abs();
///
/// assert!(abs_difference_x < 1e-10);
/// assert!(abs_difference_y < 1e-10);
/// ```
fn abs_sub(self, other: Self) -> Self;
/// Take the cubic root of a number.
///
/// ```
/// use num_traits::Float;
///
/// let x = 8.0;
///
/// // x^(1/3) - 2 == 0
/// let abs_difference = (x.cbrt() - 2.0).abs();
///
/// assert!(abs_difference < 1e-10);
/// ```
fn cbrt(self) -> Self;
/// Calculate the length of the hypotenuse of a right-angle triangle given
/// legs of length `x` and `y`.
///
/// ```
/// use num_traits::Float;
///
/// let x = 2.0;
/// let y = 3.0;
///
/// // sqrt(x^2 + y^2)
/// let abs_difference = (x.hypot(y) - (x.powi(2) + y.powi(2)).sqrt()).abs();
///
/// assert!(abs_difference < 1e-10);
/// ```
fn hypot(self, other: Self) -> Self;
/// Computes the sine of a number (in radians).
///
/// ```
/// use num_traits::Float;
/// use std::f64;
///
/// let x = f64::consts::PI/2.0;
///
/// let abs_difference = (x.sin() - 1.0).abs();
///
/// assert!(abs_difference < 1e-10);
/// ```
fn sin(self) -> Self;
/// Computes the cosine of a number (in radians).
///
/// ```
/// use num_traits::Float;
/// use std::f64;
///
/// let x = 2.0*f64::consts::PI;
///
/// let abs_difference = (x.cos() - 1.0).abs();
///
/// assert!(abs_difference < 1e-10);
/// ```
fn cos(self) -> Self;
/// Computes the tangent of a number (in radians).
///
/// ```
/// use num_traits::Float;
/// use std::f64;
///
/// let x = f64::consts::PI/4.0;
/// let abs_difference = (x.tan() - 1.0).abs();
///
/// assert!(abs_difference < 1e-14);
/// ```
fn tan(self) -> Self;
/// Computes the arcsine of a number. Return value is in radians in
/// the range [-pi/2, pi/2] or NaN if the number is outside the range
/// [-1, 1].
///
/// ```
/// use num_traits::Float;
/// use std::f64;
///
/// let f = f64::consts::PI / 2.0;
///
/// // asin(sin(pi/2))
/// let abs_difference = (f.sin().asin() - f64::consts::PI / 2.0).abs();
///
/// assert!(abs_difference < 1e-10);
/// ```
fn asin(self) -> Self;
/// Computes the arccosine of a number. Return value is in radians in
/// the range [0, pi] or NaN if the number is outside the range
/// [-1, 1].
///
/// ```
/// use num_traits::Float;
/// use std::f64;
///
/// let f = f64::consts::PI / 4.0;
///
/// // acos(cos(pi/4))
/// let abs_difference = (f.cos().acos() - f64::consts::PI / 4.0).abs();
///
/// assert!(abs_difference < 1e-10);
/// ```
fn acos(self) -> Self;
/// Computes the arctangent of a number. Return value is in radians in the
/// range [-pi/2, pi/2];
///
/// ```
/// use num_traits::Float;
///
/// let f = 1.0;
///
/// // atan(tan(1))
/// let abs_difference = (f.tan().atan() - 1.0).abs();
///
/// assert!(abs_difference < 1e-10);
/// ```
fn atan(self) -> Self;
/// Computes the four quadrant arctangent of `self` (`y`) and `other` (`x`).
///
/// * `x = 0`, `y = 0`: `0`
/// * `x >= 0`: `arctan(y/x)` -> `[-pi/2, pi/2]`
/// * `y >= 0`: `arctan(y/x) + pi` -> `(pi/2, pi]`
/// * `y < 0`: `arctan(y/x) - pi` -> `(-pi, -pi/2)`
///
/// ```
/// use num_traits::Float;
/// use std::f64;
///
/// let pi = f64::consts::PI;
/// // All angles from horizontal right (+x)
/// // 45 deg counter-clockwise
/// let x1 = 3.0;
/// let y1 = -3.0;
///
/// // 135 deg clockwise
/// let x2 = -3.0;
/// let y2 = 3.0;
///
/// let abs_difference_1 = (y1.atan2(x1) - (-pi/4.0)).abs();
/// let abs_difference_2 = (y2.atan2(x2) - 3.0*pi/4.0).abs();
///
/// assert!(abs_difference_1 < 1e-10);
/// assert!(abs_difference_2 < 1e-10);
/// ```
fn atan2(self, other: Self) -> Self;
/// Simultaneously computes the sine and cosine of the number, `x`. Returns
/// `(sin(x), cos(x))`.
///
/// ```
/// use num_traits::Float;
/// use std::f64;
///
/// let x = f64::consts::PI/4.0;
/// let f = x.sin_cos();
///
/// let abs_difference_0 = (f.0 - x.sin()).abs();
/// let abs_difference_1 = (f.1 - x.cos()).abs();
///
/// assert!(abs_difference_0 < 1e-10);
/// assert!(abs_difference_0 < 1e-10);
/// ```
fn sin_cos(self) -> (Self, Self);
/// Returns `e^(self) - 1` in a way that is accurate even if the
/// number is close to zero.
///
/// ```
/// use num_traits::Float;
///
/// let x = 7.0;
///
/// // e^(ln(7)) - 1
/// let abs_difference = (x.ln().exp_m1() - 6.0).abs();
///
/// assert!(abs_difference < 1e-10);
/// ```
fn exp_m1(self) -> Self;
/// Returns `ln(1+n)` (natural logarithm) more accurately than if
/// the operations were performed separately.
///
/// ```
/// use num_traits::Float;
/// use std::f64;
///
/// let x = f64::consts::E - 1.0;
///
/// // ln(1 + (e - 1)) == ln(e) == 1
/// let abs_difference = (x.ln_1p() - 1.0).abs();
///
/// assert!(abs_difference < 1e-10);
/// ```
fn ln_1p(self) -> Self;
/// Hyperbolic sine function.
///
/// ```
/// use num_traits::Float;
/// use std::f64;
///
/// let e = f64::consts::E;
/// let x = 1.0;
///
/// let f = x.sinh();
/// // Solving sinh() at 1 gives `(e^2-1)/(2e)`
/// let g = (e*e - 1.0)/(2.0*e);
/// let abs_difference = (f - g).abs();
///
/// assert!(abs_difference < 1e-10);
/// ```
fn sinh(self) -> Self;
/// Hyperbolic cosine function.
///
/// ```
/// use num_traits::Float;
/// use std::f64;
///
/// let e = f64::consts::E;
/// let x = 1.0;
/// let f = x.cosh();
/// // Solving cosh() at 1 gives this result
/// let g = (e*e + 1.0)/(2.0*e);
/// let abs_difference = (f - g).abs();
///
/// // Same result
/// assert!(abs_difference < 1.0e-10);
/// ```
fn cosh(self) -> Self;
/// Hyperbolic tangent function.
///
/// ```
/// use num_traits::Float;
/// use std::f64;
///
/// let e = f64::consts::E;
/// let x = 1.0;
///
/// let f = x.tanh();
/// // Solving tanh() at 1 gives `(1 - e^(-2))/(1 + e^(-2))`
/// let g = (1.0 - e.powi(-2))/(1.0 + e.powi(-2));
/// let abs_difference = (f - g).abs();
///
/// assert!(abs_difference < 1.0e-10);
/// ```
fn tanh(self) -> Self;
/// Inverse hyperbolic sine function.
///
/// ```
/// use num_traits::Float;
///
/// let x = 1.0;
/// let f = x.sinh().asinh();
///
/// let abs_difference = (f - x).abs();
///
/// assert!(abs_difference < 1.0e-10);
/// ```
fn asinh(self) -> Self;
/// Inverse hyperbolic cosine function.
///
/// ```
/// use num_traits::Float;
///
/// let x = 1.0;
/// let f = x.cosh().acosh();
///
/// let abs_difference = (f - x).abs();
///
/// assert!(abs_difference < 1.0e-10);
/// ```
fn acosh(self) -> Self;
/// Inverse hyperbolic tangent function.
///
/// ```
/// use num_traits::Float;
/// use std::f64;
///
/// let e = f64::consts::E;
/// let f = e.tanh().atanh();
///
/// let abs_difference = (f - e).abs();
///
/// assert!(abs_difference < 1.0e-10);
/// ```
fn atanh(self) -> Self;
/// Returns the mantissa, base 2 exponent, and sign as integers, respectively.
/// The original number can be recovered by `sign * mantissa * 2 ^ exponent`.
/// The floating point encoding is documented in the [Reference][floating-point].
///
/// ```
/// use num_traits::Float;
///
/// let num = 2.0f32;
///
/// // (8388608, -22, 1)
/// let (mantissa, exponent, sign) = Float::integer_decode(num);
/// let sign_f = sign as f32;
/// let mantissa_f = mantissa as f32;
/// let exponent_f = num.powf(exponent as f32);
///
/// // 1 * 8388608 * 2^(-22) == 2
/// let abs_difference = (sign_f * mantissa_f * exponent_f - num).abs();
///
/// assert!(abs_difference < 1e-10);
/// ```
/// [floating-point]: ../../../../../reference.html#machine-types
fn integer_decode(self) -> (u64, i16, i8);
}
macro_rules! float_impl {
($T:ident $decode:ident) => (
impl Float for $T {
#[inline]
fn nan() -> Self {
::std::$T::NAN
}
#[inline]
fn infinity() -> Self {
::std::$T::INFINITY
}
#[inline]
fn neg_infinity() -> Self {
::std::$T::NEG_INFINITY
}
#[inline]
fn neg_zero() -> Self {
-0.0
}
#[inline]
fn min_value() -> Self {
::std::$T::MIN
}
#[inline]
fn min_positive_value() -> Self {
::std::$T::MIN_POSITIVE
}
#[inline]
fn epsilon() -> Self {
::std::$T::EPSILON
}
#[inline]
fn max_value() -> Self {
::std::$T::MAX
}
#[inline]
fn is_nan(self) -> bool {
<$T>::is_nan(self)
}
#[inline]
fn is_infinite(self) -> bool {
<$T>::is_infinite(self)
}
#[inline]
fn is_finite(self) -> bool {
<$T>::is_finite(self)
}
#[inline]
fn is_normal(self) -> bool {
<$T>::is_normal(self)
}
#[inline]
fn classify(self) -> FpCategory {
<$T>::classify(self)
}
#[inline]
fn floor(self) -> Self {
<$T>::floor(self)
}
#[inline]
fn ceil(self) -> Self {
<$T>::ceil(self)
}
#[inline]
fn round(self) -> Self {
<$T>::round(self)
}
#[inline]
fn trunc(self) -> Self {
<$T>::trunc(self)
}
#[inline]
fn fract(self) -> Self {
<$T>::fract(self)
}
#[inline]
fn abs(self) -> Self {
<$T>::abs(self)
}
#[inline]
fn signum(self) -> Self {
<$T>::signum(self)
}
#[inline]
fn is_sign_positive(self) -> bool {
<$T>::is_sign_positive(self)
}
#[inline]
fn is_sign_negative(self) -> bool {
<$T>::is_sign_negative(self)
}
#[inline]
fn mul_add(self, a: Self, b: Self) -> Self {
<$T>::mul_add(self, a, b)
}
#[inline]
fn recip(self) -> Self {
<$T>::recip(self)
}
#[inline]
fn powi(self, n: i32) -> Self {
<$T>::powi(self, n)
}
#[inline]
fn powf(self, n: Self) -> Self {
<$T>::powf(self, n)
}
#[inline]
fn sqrt(self) -> Self {
<$T>::sqrt(self)
}
#[inline]
fn exp(self) -> Self {
<$T>::exp(self)
}
#[inline]
fn exp2(self) -> Self {
<$T>::exp2(self)
}
#[inline]
fn ln(self) -> Self {
<$T>::ln(self)
}
#[inline]
fn log(self, base: Self) -> Self {
<$T>::log(self, base)
}
#[inline]
fn log2(self) -> Self {
<$T>::log2(self)
}
#[inline]
fn log10(self) -> Self {
<$T>::log10(self)
}
#[inline]
fn to_degrees(self) -> Self {
// NB: `f32` didn't stabilize this until 1.7
// <$T>::to_degrees(self)
self * (180. / ::std::$T::consts::PI)
}
#[inline]
fn to_radians(self) -> Self {
// NB: `f32` didn't stabilize this until 1.7
// <$T>::to_radians(self)
self * (::std::$T::consts::PI / 180.)
}
#[inline]
fn max(self, other: Self) -> Self {
<$T>::max(self, other)
}
#[inline]
fn min(self, other: Self) -> Self {
<$T>::min(self, other)
}
#[inline]
#[allow(deprecated)]
fn abs_sub(self, other: Self) -> Self {
<$T>::abs_sub(self, other)
}
#[inline]
fn cbrt(self) -> Self {
<$T>::cbrt(self)
}
#[inline]
fn hypot(self, other: Self) -> Self {
<$T>::hypot(self, other)
}
#[inline]
fn sin(self) -> Self {
<$T>::sin(self)
}
#[inline]
fn cos(self) -> Self {
<$T>::cos(self)
}
#[inline]
fn tan(self) -> Self {
<$T>::tan(self)
}
#[inline]
fn asin(self) -> Self {
<$T>::asin(self)
}
#[inline]
fn acos(self) -> Self {
<$T>::acos(self)
}
#[inline]
fn atan(self) -> Self {
<$T>::atan(self)
}
#[inline]
fn atan2(self, other: Self) -> Self {
<$T>::atan2(self, other)
}
#[inline]
fn sin_cos(self) -> (Self, Self) {
<$T>::sin_cos(self)
}
#[inline]
fn exp_m1(self) -> Self {
<$T>::exp_m1(self)
}
#[inline]
fn ln_1p(self) -> Self {
<$T>::ln_1p(self)
}
#[inline]
fn sinh(self) -> Self {
<$T>::sinh(self)
}
#[inline]
fn cosh(self) -> Self {
<$T>::cosh(self)
}
#[inline]
fn tanh(self) -> Self {
<$T>::tanh(self)
}
#[inline]
fn asinh(self) -> Self {
<$T>::asinh(self)
}
#[inline]
fn acosh(self) -> Self {
<$T>::acosh(self)
}
#[inline]
fn atanh(self) -> Self {
<$T>::atanh(self)
}
#[inline]
fn integer_decode(self) -> (u64, i16, i8) {
$decode(self)
}
}
)
}
fn integer_decode_f32(f: f32) -> (u64, i16, i8) {
let bits: u32 = unsafe { mem::transmute(f) };
let sign: i8 = if bits >> 31 == 0 {
1
} else {
-1
};
let mut exponent: i16 = ((bits >> 23) & 0xff) as i16;
let mantissa = if exponent == 0 {
(bits & 0x7fffff) << 1
} else {
(bits & 0x7fffff) | 0x800000
};
// Exponent bias + mantissa shift
exponent -= 127 + 23;
(mantissa as u64, exponent, sign)
}
fn integer_decode_f64(f: f64) -> (u64, i16, i8) {
let bits: u64 = unsafe { mem::transmute(f) };
let sign: i8 = if bits >> 63 == 0 {
1
} else {
-1
};
let mut exponent: i16 = ((bits >> 52) & 0x7ff) as i16;
let mantissa = if exponent == 0 {
(bits & 0xfffffffffffff) << 1
} else {
(bits & 0xfffffffffffff) | 0x10000000000000
};
// Exponent bias + mantissa shift
exponent -= 1023 + 52;
(mantissa, exponent, sign)
}
float_impl!(f32 integer_decode_f32);
float_impl!(f64 integer_decode_f64);
macro_rules! float_const_impl {
($(#[$doc:meta] $constant:ident,)+) => (
#[allow(non_snake_case)]
pub trait FloatConst {
$(#[$doc] fn $constant() -> Self;)+
}
float_const_impl! { @float f32, $($constant,)+ }
float_const_impl! { @float f64, $($constant,)+ }
);
(@float $T:ident, $($constant:ident,)+) => (
impl FloatConst for $T {
$(
#[inline]
fn $constant() -> Self {
::std::$T::consts::$constant
}
)+
}
);
}
float_const_impl! {
#[doc = "Return Euler’s number."]
E,
#[doc = "Return `1.0 / π`."]
FRAC_1_PI,
#[doc = "Return `1.0 / sqrt(2.0)`."]
FRAC_1_SQRT_2,
#[doc = "Return `2.0 / π`."]
FRAC_2_PI,
#[doc = "Return `2.0 / sqrt(π)`."]
FRAC_2_SQRT_PI,
#[doc = "Return `π / 2.0`."]
FRAC_PI_2,
#[doc = "Return `π / 3.0`."]
FRAC_PI_3,
#[doc = "Return `π / 4.0`."]
FRAC_PI_4,
#[doc = "Return `π / 6.0`."]
FRAC_PI_6,
#[doc = "Return `π / 8.0`."]
FRAC_PI_8,
#[doc = "Return `ln(10.0)`."]
LN_10,
#[doc = "Return `ln(2.0)`."]
LN_2,
#[doc = "Return `log10(e)`."]
LOG10_E,
#[doc = "Return `log2(e)`."]
LOG2_E,
#[doc = "Return Archimedes’ constant."]
PI,
#[doc = "Return `sqrt(2.0)`."]
SQRT_2,
}
#[cfg(test)]
mod tests {
use Float;
#[test]
fn convert_deg_rad() {
use std::f64::consts;
const DEG_RAD_PAIRS: [(f64, f64); 7] = [
(0.0, 0.),
(22.5, consts::FRAC_PI_8),
(30.0, consts::FRAC_PI_6),
(45.0, consts::FRAC_PI_4),
(60.0, consts::FRAC_PI_3),
(90.0, consts::FRAC_PI_2),
(180.0, consts::PI),
];
for &(deg, rad) in &DEG_RAD_PAIRS {
assert!((Float::to_degrees(rad) - deg).abs() < 1e-6);
assert!((Float::to_radians(deg) - rad).abs() < 1e-6);
let (deg, rad) = (deg as f32, rad as f32);
assert!((Float::to_degrees(rad) - deg).abs() < 1e-6);
assert!((Float::to_radians(deg) - rad).abs() < 1e-6);
}
}
}