Trait num_traits::float::Float
-
- [−]
-
- [src]
-pub trait Float: NumCast + Num + Copy + Neg<Output = Self> + PartialOrd<Self> { - fn nan() -> Self; - fn infinity() -> Self; - fn neg_infinity() -> Self; - fn neg_zero() -> Self; - fn min_value() -> Self; - fn min_positive_value() -> Self; - fn max_value() -> Self; - fn is_nan(self) -> bool; - fn is_infinite(self) -> bool; - fn is_finite(self) -> bool; - fn is_normal(self) -> bool; - fn classify(self) -> FpCategory; - fn floor(self) -> Self; - fn ceil(self) -> Self; - fn round(self) -> Self; - fn trunc(self) -> Self; - fn fract(self) -> Self; - fn abs(self) -> Self; - fn signum(self) -> Self; - fn is_sign_positive(self) -> bool; - fn is_sign_negative(self) -> bool; - fn mul_add(self, a: Self, b: Self) -> Self; - fn recip(self) -> Self; - fn powi(self, n: i32) -> Self; - fn powf(self, n: Self) -> Self; - fn sqrt(self) -> Self; - fn exp(self) -> Self; - fn exp2(self) -> Self; - fn ln(self) -> Self; - fn log(self, base: Self) -> Self; - fn log2(self) -> Self; - fn log10(self) -> Self; - fn max(self, other: Self) -> Self; - fn min(self, other: Self) -> Self; - fn abs_sub(self, other: Self) -> Self; - fn cbrt(self) -> Self; - fn hypot(self, other: Self) -> Self; - fn sin(self) -> Self; - fn cos(self) -> Self; - fn tan(self) -> Self; - fn asin(self) -> Self; - fn acos(self) -> Self; - fn atan(self) -> Self; - fn atan2(self, other: Self) -> Self; - fn sin_cos(self) -> (Self, Self); - fn exp_m1(self) -> Self; - fn ln_1p(self) -> Self; - fn sinh(self) -> Self; - fn cosh(self) -> Self; - fn tanh(self) -> Self; - fn asinh(self) -> Self; - fn acosh(self) -> Self; - fn atanh(self) -> Self; - fn integer_decode(self) -> (u64, i16, i8); - - fn epsilon() -> Self { ... } - fn to_degrees(self) -> Self { ... } - fn to_radians(self) -> Self { ... } -}
Generic trait for floating point numbers
-This trait is only available with the std feature.
- Required Methods -
-
-
- fn nan() -> Self
Returns the NaN value.
-use num_traits::Float; - -let nan: f32 = Float::nan(); - -assert!(nan.is_nan());-
fn infinity() -> 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 neg_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_zero() -> 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 min_value() -> 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_positive_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 max_value() -> Self
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 is_nan(self) -> bool
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_infinite(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_finite(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_normal(self) -> bool
Returns true if the number is neither zero, infinite,
-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());-
fn classify(self) -> FpCategory
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 floor(self) -> Self
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 ceil(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 round(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 trunc(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 fract(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 abs(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 signum(self) -> Self
Returns a number that represents the sign of self.
-
-
1.0if the number is positive,+0.0orFloat::infinity()
--1.0if the number is negative,-0.0orFloat::neg_infinity()
-Float::nan()if the number isFloat::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 is_sign_positive(self) -> bool
Returns true if self is positive, including +0.0,
-Float::infinity(), and with newer versions of Rust f64::NAN.
-use num_traits::Float; -use std::f64; - -let neg_nan: f64 = -f64::NAN; - -let f = 7.0; -let g = -7.0; - -assert!(f.is_sign_positive()); -assert!(!g.is_sign_positive()); -assert!(!neg_nan.is_sign_positive());-
fn is_sign_negative(self) -> bool
Returns true if self is negative, including -0.0,
-Float::neg_infinity(), and with newer versions of Rust -f64::NAN.
-use num_traits::Float; -use std::f64; - -let nan: f64 = f64::NAN; - -let f = 7.0; -let g = -7.0; - -assert!(!f.is_sign_negative()); -assert!(g.is_sign_negative()); -assert!(!nan.is_sign_negative());-
fn mul_add(self, a: Self, b: Self) -> Self
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 recip(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 powi(self, n: i32) -> 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 powf(self, n: Self) -> 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 sqrt(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 exp(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 exp2(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 ln(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 log(self, base: 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 log2(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 log10(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 max(self, other: Self) -> Self
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 min(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 abs_sub(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 cbrt(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 hypot(self, other: 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 sin(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 cos(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 tan(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 asin(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 acos(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 atan(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 atan2(self, other: 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 sin_cos(self) -> (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 exp_m1(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 ln_1p(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 sinh(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 cosh(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 tanh(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 asinh(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 acosh(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 atanh(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 integer_decode(self) -> (u64, i16, i8)
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.
-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);-
- Provided Methods -
-
-
- fn epsilon() -> 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 to_degrees(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);-
fn to_radians(self) -> Self
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);-
- Implementations on Foreign Types -
-impl Float for f32[src]
-fn nan() -> f32[src]
-fn infinity() -> f32[src]
-fn neg_infinity() -> f32[src]
-fn neg_zero() -> f32[src]
-fn min_value() -> f32[src]
-fn min_positive_value() -> f32[src]
-fn epsilon() -> f32[src]
-fn max_value() -> f32[src]
-fn is_nan(self) -> bool[src]
-fn is_infinite(self) -> bool[src]
-fn is_finite(self) -> bool[src]
-fn is_normal(self) -> bool[src]
-fn classify(self) -> FpCategory[src]
-fn floor(self) -> f32[src]
-fn ceil(self) -> f32[src]
-fn round(self) -> f32[src]
-fn trunc(self) -> f32[src]
-fn fract(self) -> f32[src]
-fn abs(self) -> f32[src]
-fn signum(self) -> f32[src]
-fn is_sign_positive(self) -> bool[src]
-fn is_sign_negative(self) -> bool[src]
-fn mul_add(self, a: f32, b: f32) -> f32[src]
-fn recip(self) -> f32[src]
-fn powi(self, n: i32) -> f32[src]
-fn powf(self, n: f32) -> f32[src]
-fn sqrt(self) -> f32[src]
-fn exp(self) -> f32[src]
-fn exp2(self) -> f32[src]
-fn ln(self) -> f32[src]
-fn log(self, base: f32) -> f32[src]
-fn log2(self) -> f32[src]
-fn log10(self) -> f32[src]
-fn to_degrees(self) -> f32[src]
-fn to_radians(self) -> f32[src]
-fn max(self, other: f32) -> f32[src]
-fn min(self, other: f32) -> f32[src]
-fn abs_sub(self, other: f32) -> f32[src]
-fn cbrt(self) -> f32[src]
-fn hypot(self, other: f32) -> f32[src]
-fn sin(self) -> f32[src]
-fn cos(self) -> f32[src]
-fn tan(self) -> f32[src]
-fn asin(self) -> f32[src]
-fn acos(self) -> f32[src]
-fn atan(self) -> f32[src]
-fn atan2(self, other: f32) -> f32[src]
-fn sin_cos(self) -> (f32, f32)[src]
-fn exp_m1(self) -> f32[src]
-fn ln_1p(self) -> f32[src]
-fn sinh(self) -> f32[src]
-fn cosh(self) -> f32[src]
-fn tanh(self) -> f32[src]
-fn asinh(self) -> f32[src]
-fn acosh(self) -> f32[src]
-fn atanh(self) -> f32[src]
-fn integer_decode(self) -> (u64, i16, i8)[src]
-impl Float for f64[src]
-fn nan() -> f64[src]
-fn infinity() -> f64[src]
-fn neg_infinity() -> f64[src]
-fn neg_zero() -> f64[src]
-fn min_value() -> f64[src]
-fn min_positive_value() -> f64[src]
-fn epsilon() -> f64[src]
-fn max_value() -> f64[src]
-fn is_nan(self) -> bool[src]
-fn is_infinite(self) -> bool[src]
-fn is_finite(self) -> bool[src]
-fn is_normal(self) -> bool[src]
-fn classify(self) -> FpCategory[src]
-fn floor(self) -> f64[src]
-fn ceil(self) -> f64[src]
-fn round(self) -> f64[src]
-fn trunc(self) -> f64[src]
-fn fract(self) -> f64[src]
-fn abs(self) -> f64[src]
-fn signum(self) -> f64[src]
-fn is_sign_positive(self) -> bool[src]
-fn is_sign_negative(self) -> bool[src]
-fn mul_add(self, a: f64, b: f64) -> f64[src]
-fn recip(self) -> f64[src]
-fn powi(self, n: i32) -> f64[src]
-fn powf(self, n: f64) -> f64[src]
-fn sqrt(self) -> f64[src]
-fn exp(self) -> f64[src]
-fn exp2(self) -> f64[src]
-fn ln(self) -> f64[src]
-fn log(self, base: f64) -> f64[src]
-fn log2(self) -> f64[src]
-fn log10(self) -> f64[src]
-fn to_degrees(self) -> f64[src]
-fn to_radians(self) -> f64[src]
-fn max(self, other: f64) -> f64[src]
-fn min(self, other: f64) -> f64[src]
-fn abs_sub(self, other: f64) -> f64[src]
-fn cbrt(self) -> f64[src]
-fn hypot(self, other: f64) -> f64[src]
-fn sin(self) -> f64[src]
-fn cos(self) -> f64[src]
-fn tan(self) -> f64[src]
-fn asin(self) -> f64[src]
-fn acos(self) -> f64[src]
-fn atan(self) -> f64[src]
-fn atan2(self, other: f64) -> f64[src]
-fn sin_cos(self) -> (f64, f64)[src]
-fn exp_m1(self) -> f64[src]
-fn ln_1p(self) -> f64[src]
-fn sinh(self) -> f64[src]
-fn cosh(self) -> f64[src]
-fn tanh(self) -> f64[src]
-fn asinh(self) -> f64[src]
-fn acosh(self) -> f64[src]
-fn atanh(self) -> f64[src]
-fn integer_decode(self) -> (u64, i16, i8)[src]
-- Implementors -
--
-