| //! Constants for the `f64` double-precision floating point type. |
| //! |
| //! *[See also the `f64` primitive type](primitive@f64).* |
| //! |
| //! Mathematically significant numbers are provided in the `consts` sub-module. |
| //! |
| //! For the constants defined directly in this module |
| //! (as distinct from those defined in the `consts` sub-module), |
| //! new code should instead use the associated constants |
| //! defined directly on the `f64` type. |
| |
| #![stable(feature = "rust1", since = "1.0.0")] |
| #![allow(missing_docs)] |
| |
| #[cfg(test)] |
| mod tests; |
| |
| #[stable(feature = "rust1", since = "1.0.0")] |
| #[allow(deprecated, deprecated_in_future)] |
| pub use core::f64::{ |
| DIGITS, EPSILON, INFINITY, MANTISSA_DIGITS, MAX, MAX_10_EXP, MAX_EXP, MIN, MIN_10_EXP, MIN_EXP, |
| MIN_POSITIVE, NAN, NEG_INFINITY, RADIX, consts, |
| }; |
| |
| #[cfg(not(test))] |
| use crate::intrinsics; |
| #[cfg(not(test))] |
| use crate::sys::cmath; |
| |
| #[cfg(not(test))] |
| impl f64 { |
| /// Returns the largest integer less than or equal to `self`. |
| /// |
| /// This function always returns the precise result. |
| /// |
| /// # Examples |
| /// |
| /// ``` |
| /// let f = 3.7_f64; |
| /// let g = 3.0_f64; |
| /// let h = -3.7_f64; |
| /// |
| /// assert_eq!(f.floor(), 3.0); |
| /// assert_eq!(g.floor(), 3.0); |
| /// assert_eq!(h.floor(), -4.0); |
| /// ``` |
| #[rustc_allow_incoherent_impl] |
| #[must_use = "method returns a new number and does not mutate the original value"] |
| #[stable(feature = "rust1", since = "1.0.0")] |
| #[inline] |
| pub fn floor(self) -> f64 { |
| unsafe { intrinsics::floorf64(self) } |
| } |
| |
| /// Returns the smallest integer greater than or equal to `self`. |
| /// |
| /// This function always returns the precise result. |
| /// |
| /// # Examples |
| /// |
| /// ``` |
| /// let f = 3.01_f64; |
| /// let g = 4.0_f64; |
| /// |
| /// assert_eq!(f.ceil(), 4.0); |
| /// assert_eq!(g.ceil(), 4.0); |
| /// ``` |
| #[doc(alias = "ceiling")] |
| #[rustc_allow_incoherent_impl] |
| #[must_use = "method returns a new number and does not mutate the original value"] |
| #[stable(feature = "rust1", since = "1.0.0")] |
| #[inline] |
| pub fn ceil(self) -> f64 { |
| unsafe { intrinsics::ceilf64(self) } |
| } |
| |
| /// Returns the nearest integer to `self`. If a value is half-way between two |
| /// integers, round away from `0.0`. |
| /// |
| /// This function always returns the precise result. |
| /// |
| /// # Examples |
| /// |
| /// ``` |
| /// let f = 3.3_f64; |
| /// let g = -3.3_f64; |
| /// let h = -3.7_f64; |
| /// let i = 3.5_f64; |
| /// let j = 4.5_f64; |
| /// |
| /// assert_eq!(f.round(), 3.0); |
| /// assert_eq!(g.round(), -3.0); |
| /// assert_eq!(h.round(), -4.0); |
| /// assert_eq!(i.round(), 4.0); |
| /// assert_eq!(j.round(), 5.0); |
| /// ``` |
| #[rustc_allow_incoherent_impl] |
| #[must_use = "method returns a new number and does not mutate the original value"] |
| #[stable(feature = "rust1", since = "1.0.0")] |
| #[inline] |
| pub fn round(self) -> f64 { |
| unsafe { intrinsics::roundf64(self) } |
| } |
| |
| /// Returns the nearest integer to a number. Rounds half-way cases to the number |
| /// with an even least significant digit. |
| /// |
| /// This function always returns the precise result. |
| /// |
| /// # Examples |
| /// |
| /// ``` |
| /// let f = 3.3_f64; |
| /// let g = -3.3_f64; |
| /// let h = 3.5_f64; |
| /// let i = 4.5_f64; |
| /// |
| /// assert_eq!(f.round_ties_even(), 3.0); |
| /// assert_eq!(g.round_ties_even(), -3.0); |
| /// assert_eq!(h.round_ties_even(), 4.0); |
| /// assert_eq!(i.round_ties_even(), 4.0); |
| /// ``` |
| #[rustc_allow_incoherent_impl] |
| #[must_use = "method returns a new number and does not mutate the original value"] |
| #[stable(feature = "round_ties_even", since = "1.77.0")] |
| #[inline] |
| pub fn round_ties_even(self) -> f64 { |
| unsafe { intrinsics::rintf64(self) } |
| } |
| |
| /// Returns the integer part of `self`. |
| /// This means that non-integer numbers are always truncated towards zero. |
| /// |
| /// This function always returns the precise result. |
| /// |
| /// # Examples |
| /// |
| /// ``` |
| /// let f = 3.7_f64; |
| /// let g = 3.0_f64; |
| /// let h = -3.7_f64; |
| /// |
| /// assert_eq!(f.trunc(), 3.0); |
| /// assert_eq!(g.trunc(), 3.0); |
| /// assert_eq!(h.trunc(), -3.0); |
| /// ``` |
| #[doc(alias = "truncate")] |
| #[rustc_allow_incoherent_impl] |
| #[must_use = "method returns a new number and does not mutate the original value"] |
| #[stable(feature = "rust1", since = "1.0.0")] |
| #[inline] |
| pub fn trunc(self) -> f64 { |
| unsafe { intrinsics::truncf64(self) } |
| } |
| |
| /// Returns the fractional part of `self`. |
| /// |
| /// This function always returns the precise result. |
| /// |
| /// # Examples |
| /// |
| /// ``` |
| /// let x = 3.6_f64; |
| /// let y = -3.6_f64; |
| /// let abs_difference_x = (x.fract() - 0.6).abs(); |
| /// let abs_difference_y = (y.fract() - (-0.6)).abs(); |
| /// |
| /// assert!(abs_difference_x < 1e-10); |
| /// assert!(abs_difference_y < 1e-10); |
| /// ``` |
| #[rustc_allow_incoherent_impl] |
| #[must_use = "method returns a new number and does not mutate the original value"] |
| #[stable(feature = "rust1", since = "1.0.0")] |
| #[inline] |
| pub fn fract(self) -> f64 { |
| self - self.trunc() |
| } |
| |
| /// Computes the absolute value of `self`. |
| /// |
| /// This function always returns the precise result. |
| /// |
| /// # Examples |
| /// |
| /// ``` |
| /// let x = 3.5_f64; |
| /// let y = -3.5_f64; |
| /// |
| /// assert_eq!(x.abs(), x); |
| /// assert_eq!(y.abs(), -y); |
| /// |
| /// assert!(f64::NAN.abs().is_nan()); |
| /// ``` |
| #[rustc_allow_incoherent_impl] |
| #[must_use = "method returns a new number and does not mutate the original value"] |
| #[stable(feature = "rust1", since = "1.0.0")] |
| #[inline] |
| pub fn abs(self) -> f64 { |
| unsafe { intrinsics::fabsf64(self) } |
| } |
| |
| /// Returns a number that represents the sign of `self`. |
| /// |
| /// - `1.0` if the number is positive, `+0.0` or `INFINITY` |
| /// - `-1.0` if the number is negative, `-0.0` or `NEG_INFINITY` |
| /// - NaN if the number is NaN |
| /// |
| /// # Examples |
| /// |
| /// ``` |
| /// let f = 3.5_f64; |
| /// |
| /// assert_eq!(f.signum(), 1.0); |
| /// assert_eq!(f64::NEG_INFINITY.signum(), -1.0); |
| /// |
| /// assert!(f64::NAN.signum().is_nan()); |
| /// ``` |
| #[rustc_allow_incoherent_impl] |
| #[must_use = "method returns a new number and does not mutate the original value"] |
| #[stable(feature = "rust1", since = "1.0.0")] |
| #[inline] |
| pub fn signum(self) -> f64 { |
| if self.is_nan() { Self::NAN } else { 1.0_f64.copysign(self) } |
| } |
| |
| /// Returns a number composed of the magnitude of `self` and the sign of |
| /// `sign`. |
| /// |
| /// Equal to `self` if the sign of `self` and `sign` are the same, otherwise equal to `-self`. |
| /// If `self` is a NaN, then a NaN with the same payload as `self` and the sign bit of `sign` is |
| /// returned. |
| /// |
| /// If `sign` is a NaN, then this operation will still carry over its sign into the result. Note |
| /// that IEEE 754 doesn't assign any meaning to the sign bit in case of a NaN, and as Rust |
| /// doesn't guarantee that the bit pattern of NaNs are conserved over arithmetic operations, the |
| /// result of `copysign` with `sign` being a NaN might produce an unexpected or non-portable |
| /// result. See the [specification of NaN bit patterns](primitive@f32#nan-bit-patterns) for more |
| /// info. |
| /// |
| /// # Examples |
| /// |
| /// ``` |
| /// let f = 3.5_f64; |
| /// |
| /// assert_eq!(f.copysign(0.42), 3.5_f64); |
| /// assert_eq!(f.copysign(-0.42), -3.5_f64); |
| /// assert_eq!((-f).copysign(0.42), 3.5_f64); |
| /// assert_eq!((-f).copysign(-0.42), -3.5_f64); |
| /// |
| /// assert!(f64::NAN.copysign(1.0).is_nan()); |
| /// ``` |
| #[rustc_allow_incoherent_impl] |
| #[must_use = "method returns a new number and does not mutate the original value"] |
| #[stable(feature = "copysign", since = "1.35.0")] |
| #[inline] |
| pub fn copysign(self, sign: f64) -> f64 { |
| unsafe { intrinsics::copysignf64(self, sign) } |
| } |
| |
| /// Fused multiply-add. Computes `(self * a) + b` with only one rounding |
| /// error, yielding a more accurate result than an unfused multiply-add. |
| /// |
| /// Using `mul_add` *may* be more performant than an unfused multiply-add if |
| /// the target architecture has a dedicated `fma` CPU instruction. However, |
| /// this is not always true, and will be heavily dependant on designing |
| /// algorithms with specific target hardware in mind. |
| /// |
| /// # Precision |
| /// |
| /// The result of this operation is guaranteed to be the rounded |
| /// infinite-precision result. It is specified by IEEE 754 as |
| /// `fusedMultiplyAdd` and guaranteed not to change. |
| /// |
| /// # Examples |
| /// |
| /// ``` |
| /// let m = 10.0_f64; |
| /// let x = 4.0_f64; |
| /// let b = 60.0_f64; |
| /// |
| /// assert_eq!(m.mul_add(x, b), 100.0); |
| /// assert_eq!(m * x + b, 100.0); |
| /// |
| /// let one_plus_eps = 1.0_f64 + f64::EPSILON; |
| /// let one_minus_eps = 1.0_f64 - f64::EPSILON; |
| /// let minus_one = -1.0_f64; |
| /// |
| /// // The exact result (1 + eps) * (1 - eps) = 1 - eps * eps. |
| /// assert_eq!(one_plus_eps.mul_add(one_minus_eps, minus_one), -f64::EPSILON * f64::EPSILON); |
| /// // Different rounding with the non-fused multiply and add. |
| /// assert_eq!(one_plus_eps * one_minus_eps + minus_one, 0.0); |
| /// ``` |
| #[rustc_allow_incoherent_impl] |
| #[must_use = "method returns a new number and does not mutate the original value"] |
| #[stable(feature = "rust1", since = "1.0.0")] |
| #[inline] |
| pub fn mul_add(self, a: f64, b: f64) -> f64 { |
| unsafe { intrinsics::fmaf64(self, a, b) } |
| } |
| |
| /// Calculates Euclidean division, the matching method for `rem_euclid`. |
| /// |
| /// This computes the integer `n` such that |
| /// `self = n * rhs + self.rem_euclid(rhs)`. |
| /// In other words, the result is `self / rhs` rounded to the integer `n` |
| /// such that `self >= n * rhs`. |
| /// |
| /// # Precision |
| /// |
| /// The result of this operation is guaranteed to be the rounded |
| /// infinite-precision result. |
| /// |
| /// # Examples |
| /// |
| /// ``` |
| /// let a: f64 = 7.0; |
| /// let b = 4.0; |
| /// assert_eq!(a.div_euclid(b), 1.0); // 7.0 > 4.0 * 1.0 |
| /// assert_eq!((-a).div_euclid(b), -2.0); // -7.0 >= 4.0 * -2.0 |
| /// assert_eq!(a.div_euclid(-b), -1.0); // 7.0 >= -4.0 * -1.0 |
| /// assert_eq!((-a).div_euclid(-b), 2.0); // -7.0 >= -4.0 * 2.0 |
| /// ``` |
| #[rustc_allow_incoherent_impl] |
| #[must_use = "method returns a new number and does not mutate the original value"] |
| #[inline] |
| #[stable(feature = "euclidean_division", since = "1.38.0")] |
| pub fn div_euclid(self, rhs: f64) -> f64 { |
| let q = (self / rhs).trunc(); |
| if self % rhs < 0.0 { |
| return if rhs > 0.0 { q - 1.0 } else { q + 1.0 }; |
| } |
| q |
| } |
| |
| /// Calculates the least nonnegative remainder of `self (mod rhs)`. |
| /// |
| /// In particular, the return value `r` satisfies `0.0 <= r < rhs.abs()` in |
| /// most cases. However, due to a floating point round-off error it can |
| /// result in `r == rhs.abs()`, violating the mathematical definition, if |
| /// `self` is much smaller than `rhs.abs()` in magnitude and `self < 0.0`. |
| /// This result is not an element of the function's codomain, but it is the |
| /// closest floating point number in the real numbers and thus fulfills the |
| /// property `self == self.div_euclid(rhs) * rhs + self.rem_euclid(rhs)` |
| /// approximately. |
| /// |
| /// # Precision |
| /// |
| /// The result of this operation is guaranteed to be the rounded |
| /// infinite-precision result. |
| /// |
| /// # Examples |
| /// |
| /// ``` |
| /// let a: f64 = 7.0; |
| /// let b = 4.0; |
| /// assert_eq!(a.rem_euclid(b), 3.0); |
| /// assert_eq!((-a).rem_euclid(b), 1.0); |
| /// assert_eq!(a.rem_euclid(-b), 3.0); |
| /// assert_eq!((-a).rem_euclid(-b), 1.0); |
| /// // limitation due to round-off error |
| /// assert!((-f64::EPSILON).rem_euclid(3.0) != 0.0); |
| /// ``` |
| #[doc(alias = "modulo", alias = "mod")] |
| #[rustc_allow_incoherent_impl] |
| #[must_use = "method returns a new number and does not mutate the original value"] |
| #[inline] |
| #[stable(feature = "euclidean_division", since = "1.38.0")] |
| pub fn rem_euclid(self, rhs: f64) -> f64 { |
| let r = self % rhs; |
| if r < 0.0 { r + rhs.abs() } else { r } |
| } |
| |
| /// Raises a number to an integer power. |
| /// |
| /// Using this function is generally faster than using `powf`. |
| /// It might have a different sequence of rounding operations than `powf`, |
| /// so the results are not guaranteed to agree. |
| /// |
| /// # Unspecified precision |
| /// |
| /// The precision of this function is non-deterministic. This means it varies by platform, Rust version, and |
| /// can even differ within the same execution from one invocation to the next. |
| /// |
| /// # Examples |
| /// |
| /// ``` |
| /// let x = 2.0_f64; |
| /// let abs_difference = (x.powi(2) - (x * x)).abs(); |
| /// |
| /// assert!(abs_difference < 1e-10); |
| /// ``` |
| #[rustc_allow_incoherent_impl] |
| #[must_use = "method returns a new number and does not mutate the original value"] |
| #[stable(feature = "rust1", since = "1.0.0")] |
| #[inline] |
| pub fn powi(self, n: i32) -> f64 { |
| unsafe { intrinsics::powif64(self, n) } |
| } |
| |
| /// Raises a number to a floating point power. |
| /// |
| /// # Unspecified precision |
| /// |
| /// The precision of this function is non-deterministic. This means it varies by platform, Rust version, and |
| /// can even differ within the same execution from one invocation to the next. |
| /// |
| /// # Examples |
| /// |
| /// ``` |
| /// let x = 2.0_f64; |
| /// let abs_difference = (x.powf(2.0) - (x * x)).abs(); |
| /// |
| /// assert!(abs_difference < 1e-10); |
| /// ``` |
| #[rustc_allow_incoherent_impl] |
| #[must_use = "method returns a new number and does not mutate the original value"] |
| #[stable(feature = "rust1", since = "1.0.0")] |
| #[inline] |
| pub fn powf(self, n: f64) -> f64 { |
| unsafe { intrinsics::powf64(self, n) } |
| } |
| |
| /// Returns the square root of a number. |
| /// |
| /// Returns NaN if `self` is a negative number other than `-0.0`. |
| /// |
| /// # Precision |
| /// |
| /// The result of this operation is guaranteed to be the rounded |
| /// infinite-precision result. It is specified by IEEE 754 as `squareRoot` |
| /// and guaranteed not to change. |
| /// |
| /// # Examples |
| /// |
| /// ``` |
| /// let positive = 4.0_f64; |
| /// let negative = -4.0_f64; |
| /// let negative_zero = -0.0_f64; |
| /// |
| /// assert_eq!(positive.sqrt(), 2.0); |
| /// assert!(negative.sqrt().is_nan()); |
| /// assert!(negative_zero.sqrt() == negative_zero); |
| /// ``` |
| #[rustc_allow_incoherent_impl] |
| #[must_use = "method returns a new number and does not mutate the original value"] |
| #[stable(feature = "rust1", since = "1.0.0")] |
| #[inline] |
| pub fn sqrt(self) -> f64 { |
| unsafe { intrinsics::sqrtf64(self) } |
| } |
| |
| /// Returns `e^(self)`, (the exponential function). |
| /// |
| /// # Unspecified precision |
| /// |
| /// The precision of this function is non-deterministic. This means it varies by platform, Rust version, and |
| /// can even differ within the same execution from one invocation to the next. |
| /// |
| /// # Examples |
| /// |
| /// ``` |
| /// let one = 1.0_f64; |
| /// // e^1 |
| /// let e = one.exp(); |
| /// |
| /// // ln(e) - 1 == 0 |
| /// let abs_difference = (e.ln() - 1.0).abs(); |
| /// |
| /// assert!(abs_difference < 1e-10); |
| /// ``` |
| #[rustc_allow_incoherent_impl] |
| #[must_use = "method returns a new number and does not mutate the original value"] |
| #[stable(feature = "rust1", since = "1.0.0")] |
| #[inline] |
| pub fn exp(self) -> f64 { |
| unsafe { intrinsics::expf64(self) } |
| } |
| |
| /// Returns `2^(self)`. |
| /// |
| /// # Unspecified precision |
| /// |
| /// The precision of this function is non-deterministic. This means it varies by platform, Rust version, and |
| /// can even differ within the same execution from one invocation to the next. |
| /// |
| /// # Examples |
| /// |
| /// ``` |
| /// let f = 2.0_f64; |
| /// |
| /// // 2^2 - 4 == 0 |
| /// let abs_difference = (f.exp2() - 4.0).abs(); |
| /// |
| /// assert!(abs_difference < 1e-10); |
| /// ``` |
| #[rustc_allow_incoherent_impl] |
| #[must_use = "method returns a new number and does not mutate the original value"] |
| #[stable(feature = "rust1", since = "1.0.0")] |
| #[inline] |
| pub fn exp2(self) -> f64 { |
| unsafe { intrinsics::exp2f64(self) } |
| } |
| |
| /// Returns the natural logarithm of the number. |
| /// |
| /// # Unspecified precision |
| /// |
| /// The precision of this function is non-deterministic. This means it varies by platform, Rust version, and |
| /// can even differ within the same execution from one invocation to the next. |
| /// |
| /// # Examples |
| /// |
| /// ``` |
| /// let one = 1.0_f64; |
| /// // e^1 |
| /// let e = one.exp(); |
| /// |
| /// // ln(e) - 1 == 0 |
| /// let abs_difference = (e.ln() - 1.0).abs(); |
| /// |
| /// assert!(abs_difference < 1e-10); |
| /// ``` |
| #[rustc_allow_incoherent_impl] |
| #[must_use = "method returns a new number and does not mutate the original value"] |
| #[stable(feature = "rust1", since = "1.0.0")] |
| #[inline] |
| pub fn ln(self) -> f64 { |
| unsafe { intrinsics::logf64(self) } |
| } |
| |
| /// Returns the logarithm of the number with respect to an arbitrary base. |
| /// |
| /// The result might not be correctly rounded owing to implementation details; |
| /// `self.log2()` can produce more accurate results for base 2, and |
| /// `self.log10()` can produce more accurate results for base 10. |
| /// |
| /// # Unspecified precision |
| /// |
| /// The precision of this function is non-deterministic. This means it varies by platform, Rust version, and |
| /// can even differ within the same execution from one invocation to the next. |
| /// |
| /// # Examples |
| /// |
| /// ``` |
| /// let twenty_five = 25.0_f64; |
| /// |
| /// // log5(25) - 2 == 0 |
| /// let abs_difference = (twenty_five.log(5.0) - 2.0).abs(); |
| /// |
| /// assert!(abs_difference < 1e-10); |
| /// ``` |
| #[rustc_allow_incoherent_impl] |
| #[must_use = "method returns a new number and does not mutate the original value"] |
| #[stable(feature = "rust1", since = "1.0.0")] |
| #[inline] |
| pub fn log(self, base: f64) -> f64 { |
| self.ln() / base.ln() |
| } |
| |
| /// Returns the base 2 logarithm of the number. |
| /// |
| /// # Unspecified precision |
| /// |
| /// The precision of this function is non-deterministic. This means it varies by platform, Rust version, and |
| /// can even differ within the same execution from one invocation to the next. |
| /// |
| /// # Examples |
| /// |
| /// ``` |
| /// let four = 4.0_f64; |
| /// |
| /// // log2(4) - 2 == 0 |
| /// let abs_difference = (four.log2() - 2.0).abs(); |
| /// |
| /// assert!(abs_difference < 1e-10); |
| /// ``` |
| #[rustc_allow_incoherent_impl] |
| #[must_use = "method returns a new number and does not mutate the original value"] |
| #[stable(feature = "rust1", since = "1.0.0")] |
| #[inline] |
| pub fn log2(self) -> f64 { |
| unsafe { intrinsics::log2f64(self) } |
| } |
| |
| /// Returns the base 10 logarithm of the number. |
| /// |
| /// # Unspecified precision |
| /// |
| /// The precision of this function is non-deterministic. This means it varies by platform, Rust version, and |
| /// can even differ within the same execution from one invocation to the next. |
| /// |
| /// # Examples |
| /// |
| /// ``` |
| /// let hundred = 100.0_f64; |
| /// |
| /// // log10(100) - 2 == 0 |
| /// let abs_difference = (hundred.log10() - 2.0).abs(); |
| /// |
| /// assert!(abs_difference < 1e-10); |
| /// ``` |
| #[rustc_allow_incoherent_impl] |
| #[must_use = "method returns a new number and does not mutate the original value"] |
| #[stable(feature = "rust1", since = "1.0.0")] |
| #[inline] |
| pub fn log10(self) -> f64 { |
| unsafe { intrinsics::log10f64(self) } |
| } |
| |
| /// The positive difference of two numbers. |
| /// |
| /// * If `self <= other`: `0.0` |
| /// * Else: `self - other` |
| /// |
| /// # Unspecified precision |
| /// |
| /// The precision of this function is non-deterministic. This means it varies by platform, Rust version, and |
| /// can even differ within the same execution from one invocation to the next. |
| /// This function currently corresponds to the `fdim` from libc on Unix and |
| /// Windows. Note that this might change in the future. |
| /// |
| /// # Examples |
| /// |
| /// ``` |
| /// let x = 3.0_f64; |
| /// let y = -3.0_f64; |
| /// |
| /// 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); |
| /// ``` |
| #[rustc_allow_incoherent_impl] |
| #[must_use = "method returns a new number and does not mutate the original value"] |
| #[stable(feature = "rust1", since = "1.0.0")] |
| #[inline] |
| #[deprecated( |
| since = "1.10.0", |
| note = "you probably meant `(self - other).abs()`: \ |
| this operation is `(self - other).max(0.0)` \ |
| except that `abs_sub` also propagates NaNs (also \ |
| known as `fdim` in C). If you truly need the positive \ |
| difference, consider using that expression or the C function \ |
| `fdim`, depending on how you wish to handle NaN (please consider \ |
| filing an issue describing your use-case too)." |
| )] |
| pub fn abs_sub(self, other: f64) -> f64 { |
| unsafe { cmath::fdim(self, other) } |
| } |
| |
| /// Returns the cube root of a number. |
| /// |
| /// # Unspecified precision |
| /// |
| /// The precision of this function is non-deterministic. This means it varies by platform, Rust version, and |
| /// can even differ within the same execution from one invocation to the next. |
| /// This function currently corresponds to the `cbrt` from libc on Unix and |
| /// Windows. Note that this might change in the future. |
| /// |
| /// # Examples |
| /// |
| /// ``` |
| /// let x = 8.0_f64; |
| /// |
| /// // x^(1/3) - 2 == 0 |
| /// let abs_difference = (x.cbrt() - 2.0).abs(); |
| /// |
| /// assert!(abs_difference < 1e-10); |
| /// ``` |
| #[rustc_allow_incoherent_impl] |
| #[must_use = "method returns a new number and does not mutate the original value"] |
| #[stable(feature = "rust1", since = "1.0.0")] |
| #[inline] |
| pub fn cbrt(self) -> f64 { |
| unsafe { cmath::cbrt(self) } |
| } |
| |
| /// Compute the distance between the origin and a point (`x`, `y`) on the |
| /// Euclidean plane. Equivalently, compute the length of the hypotenuse of a |
| /// right-angle triangle with other sides having length `x.abs()` and |
| /// `y.abs()`. |
| /// |
| /// # Unspecified precision |
| /// |
| /// The precision of this function is non-deterministic. This means it varies by platform, Rust version, and |
| /// can even differ within the same execution from one invocation to the next. |
| /// This function currently corresponds to the `hypot` from libc on Unix |
| /// and Windows. Note that this might change in the future. |
| /// |
| /// # Examples |
| /// |
| /// ``` |
| /// let x = 2.0_f64; |
| /// let y = 3.0_f64; |
| /// |
| /// // sqrt(x^2 + y^2) |
| /// let abs_difference = (x.hypot(y) - (x.powi(2) + y.powi(2)).sqrt()).abs(); |
| /// |
| /// assert!(abs_difference < 1e-10); |
| /// ``` |
| #[rustc_allow_incoherent_impl] |
| #[must_use = "method returns a new number and does not mutate the original value"] |
| #[stable(feature = "rust1", since = "1.0.0")] |
| #[inline] |
| pub fn hypot(self, other: f64) -> f64 { |
| unsafe { cmath::hypot(self, other) } |
| } |
| |
| /// Computes the sine of a number (in radians). |
| /// |
| /// # Unspecified precision |
| /// |
| /// The precision of this function is non-deterministic. This means it varies by platform, Rust version, and |
| /// can even differ within the same execution from one invocation to the next. |
| /// |
| /// # Examples |
| /// |
| /// ``` |
| /// let x = std::f64::consts::FRAC_PI_2; |
| /// |
| /// let abs_difference = (x.sin() - 1.0).abs(); |
| /// |
| /// assert!(abs_difference < 1e-10); |
| /// ``` |
| #[rustc_allow_incoherent_impl] |
| #[must_use = "method returns a new number and does not mutate the original value"] |
| #[stable(feature = "rust1", since = "1.0.0")] |
| #[inline] |
| pub fn sin(self) -> f64 { |
| unsafe { intrinsics::sinf64(self) } |
| } |
| |
| /// Computes the cosine of a number (in radians). |
| /// |
| /// # Unspecified precision |
| /// |
| /// The precision of this function is non-deterministic. This means it varies by platform, Rust version, and |
| /// can even differ within the same execution from one invocation to the next. |
| /// |
| /// # Examples |
| /// |
| /// ``` |
| /// let x = 2.0 * std::f64::consts::PI; |
| /// |
| /// let abs_difference = (x.cos() - 1.0).abs(); |
| /// |
| /// assert!(abs_difference < 1e-10); |
| /// ``` |
| #[rustc_allow_incoherent_impl] |
| #[must_use = "method returns a new number and does not mutate the original value"] |
| #[stable(feature = "rust1", since = "1.0.0")] |
| #[inline] |
| pub fn cos(self) -> f64 { |
| unsafe { intrinsics::cosf64(self) } |
| } |
| |
| /// Computes the tangent of a number (in radians). |
| /// |
| /// # Unspecified precision |
| /// |
| /// The precision of this function is non-deterministic. This means it varies by platform, Rust version, and |
| /// can even differ within the same execution from one invocation to the next. |
| /// This function currently corresponds to the `tan` from libc on Unix and |
| /// Windows. Note that this might change in the future. |
| /// |
| /// # Examples |
| /// |
| /// ``` |
| /// let x = std::f64::consts::FRAC_PI_4; |
| /// let abs_difference = (x.tan() - 1.0).abs(); |
| /// |
| /// assert!(abs_difference < 1e-14); |
| /// ``` |
| #[rustc_allow_incoherent_impl] |
| #[must_use = "method returns a new number and does not mutate the original value"] |
| #[stable(feature = "rust1", since = "1.0.0")] |
| #[inline] |
| pub fn tan(self) -> f64 { |
| unsafe { cmath::tan(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]. |
| /// |
| /// # Unspecified precision |
| /// |
| /// The precision of this function is non-deterministic. This means it varies by platform, Rust version, and |
| /// can even differ within the same execution from one invocation to the next. |
| /// This function currently corresponds to the `asin` from libc on Unix and |
| /// Windows. Note that this might change in the future. |
| /// |
| /// # Examples |
| /// |
| /// ``` |
| /// let f = std::f64::consts::FRAC_PI_2; |
| /// |
| /// // asin(sin(pi/2)) |
| /// let abs_difference = (f.sin().asin() - std::f64::consts::FRAC_PI_2).abs(); |
| /// |
| /// assert!(abs_difference < 1e-10); |
| /// ``` |
| #[doc(alias = "arcsin")] |
| #[rustc_allow_incoherent_impl] |
| #[must_use = "method returns a new number and does not mutate the original value"] |
| #[stable(feature = "rust1", since = "1.0.0")] |
| #[inline] |
| pub fn asin(self) -> f64 { |
| unsafe { cmath::asin(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]. |
| /// |
| /// # Unspecified precision |
| /// |
| /// The precision of this function is non-deterministic. This means it varies by platform, Rust version, and |
| /// can even differ within the same execution from one invocation to the next. |
| /// This function currently corresponds to the `acos` from libc on Unix and |
| /// Windows. Note that this might change in the future. |
| /// |
| /// # Examples |
| /// |
| /// ``` |
| /// let f = std::f64::consts::FRAC_PI_4; |
| /// |
| /// // acos(cos(pi/4)) |
| /// let abs_difference = (f.cos().acos() - std::f64::consts::FRAC_PI_4).abs(); |
| /// |
| /// assert!(abs_difference < 1e-10); |
| /// ``` |
| #[doc(alias = "arccos")] |
| #[rustc_allow_incoherent_impl] |
| #[must_use = "method returns a new number and does not mutate the original value"] |
| #[stable(feature = "rust1", since = "1.0.0")] |
| #[inline] |
| pub fn acos(self) -> f64 { |
| unsafe { cmath::acos(self) } |
| } |
| |
| /// Computes the arctangent of a number. Return value is in radians in the |
| /// range [-pi/2, pi/2]; |
| /// |
| /// # Unspecified precision |
| /// |
| /// The precision of this function is non-deterministic. This means it varies by platform, Rust version, and |
| /// can even differ within the same execution from one invocation to the next. |
| /// This function currently corresponds to the `atan` from libc on Unix and |
| /// Windows. Note that this might change in the future. |
| /// |
| /// # Examples |
| /// |
| /// ``` |
| /// let f = 1.0_f64; |
| /// |
| /// // atan(tan(1)) |
| /// let abs_difference = (f.tan().atan() - 1.0).abs(); |
| /// |
| /// assert!(abs_difference < 1e-10); |
| /// ``` |
| #[doc(alias = "arctan")] |
| #[rustc_allow_incoherent_impl] |
| #[must_use = "method returns a new number and does not mutate the original value"] |
| #[stable(feature = "rust1", since = "1.0.0")] |
| #[inline] |
| pub fn atan(self) -> f64 { |
| unsafe { cmath::atan(self) } |
| } |
| |
| /// Computes the four quadrant arctangent of `self` (`y`) and `other` (`x`) in radians. |
| /// |
| /// * `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)` |
| /// |
| /// # Unspecified precision |
| /// |
| /// The precision of this function is non-deterministic. This means it varies by platform, Rust version, and |
| /// can even differ within the same execution from one invocation to the next. |
| /// This function currently corresponds to the `atan2` from libc on Unix |
| /// and Windows. Note that this might change in the future. |
| /// |
| /// # Examples |
| /// |
| /// ``` |
| /// // Positive angles measured counter-clockwise |
| /// // from positive x axis |
| /// // -pi/4 radians (45 deg clockwise) |
| /// let x1 = 3.0_f64; |
| /// let y1 = -3.0_f64; |
| /// |
| /// // 3pi/4 radians (135 deg counter-clockwise) |
| /// let x2 = -3.0_f64; |
| /// let y2 = 3.0_f64; |
| /// |
| /// let abs_difference_1 = (y1.atan2(x1) - (-std::f64::consts::FRAC_PI_4)).abs(); |
| /// let abs_difference_2 = (y2.atan2(x2) - (3.0 * std::f64::consts::FRAC_PI_4)).abs(); |
| /// |
| /// assert!(abs_difference_1 < 1e-10); |
| /// assert!(abs_difference_2 < 1e-10); |
| /// ``` |
| #[rustc_allow_incoherent_impl] |
| #[must_use = "method returns a new number and does not mutate the original value"] |
| #[stable(feature = "rust1", since = "1.0.0")] |
| #[inline] |
| pub fn atan2(self, other: f64) -> f64 { |
| unsafe { cmath::atan2(self, other) } |
| } |
| |
| /// Simultaneously computes the sine and cosine of the number, `x`. Returns |
| /// `(sin(x), cos(x))`. |
| /// |
| /// # Unspecified precision |
| /// |
| /// The precision of this function is non-deterministic. This means it varies by platform, Rust version, and |
| /// can even differ within the same execution from one invocation to the next. |
| /// This function currently corresponds to the `(f64::sin(x), |
| /// f64::cos(x))`. Note that this might change in the future. |
| /// |
| /// # Examples |
| /// |
| /// ``` |
| /// let x = std::f64::consts::FRAC_PI_4; |
| /// 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_1 < 1e-10); |
| /// ``` |
| #[doc(alias = "sincos")] |
| #[rustc_allow_incoherent_impl] |
| #[stable(feature = "rust1", since = "1.0.0")] |
| #[inline] |
| pub fn sin_cos(self) -> (f64, f64) { |
| (self.sin(), self.cos()) |
| } |
| |
| /// Returns `e^(self) - 1` in a way that is accurate even if the |
| /// number is close to zero. |
| /// |
| /// # Unspecified precision |
| /// |
| /// The precision of this function is non-deterministic. This means it varies by platform, Rust version, and |
| /// can even differ within the same execution from one invocation to the next. |
| /// This function currently corresponds to the `expm1` from libc on Unix |
| /// and Windows. Note that this might change in the future. |
| /// |
| /// # Examples |
| /// |
| /// ``` |
| /// let x = 1e-16_f64; |
| /// |
| /// // for very small x, e^x is approximately 1 + x + x^2 / 2 |
| /// let approx = x + x * x / 2.0; |
| /// let abs_difference = (x.exp_m1() - approx).abs(); |
| /// |
| /// assert!(abs_difference < 1e-20); |
| /// ``` |
| #[rustc_allow_incoherent_impl] |
| #[must_use = "method returns a new number and does not mutate the original value"] |
| #[stable(feature = "rust1", since = "1.0.0")] |
| #[inline] |
| pub fn exp_m1(self) -> f64 { |
| unsafe { cmath::expm1(self) } |
| } |
| |
| /// Returns `ln(1+n)` (natural logarithm) more accurately than if |
| /// the operations were performed separately. |
| /// |
| /// # Unspecified precision |
| /// |
| /// The precision of this function is non-deterministic. This means it varies by platform, Rust version, and |
| /// can even differ within the same execution from one invocation to the next. |
| /// This function currently corresponds to the `log1p` from libc on Unix |
| /// and Windows. Note that this might change in the future. |
| /// |
| /// # Examples |
| /// |
| /// ``` |
| /// let x = 1e-16_f64; |
| /// |
| /// // for very small x, ln(1 + x) is approximately x - x^2 / 2 |
| /// let approx = x - x * x / 2.0; |
| /// let abs_difference = (x.ln_1p() - approx).abs(); |
| /// |
| /// assert!(abs_difference < 1e-20); |
| /// ``` |
| #[doc(alias = "log1p")] |
| #[rustc_allow_incoherent_impl] |
| #[must_use = "method returns a new number and does not mutate the original value"] |
| #[stable(feature = "rust1", since = "1.0.0")] |
| #[inline] |
| pub fn ln_1p(self) -> f64 { |
| unsafe { cmath::log1p(self) } |
| } |
| |
| /// Hyperbolic sine function. |
| /// |
| /// # Unspecified precision |
| /// |
| /// The precision of this function is non-deterministic. This means it varies by platform, Rust version, and |
| /// can even differ within the same execution from one invocation to the next. |
| /// This function currently corresponds to the `sinh` from libc on Unix |
| /// and Windows. Note that this might change in the future. |
| /// |
| /// # Examples |
| /// |
| /// ``` |
| /// let e = std::f64::consts::E; |
| /// let x = 1.0_f64; |
| /// |
| /// 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); |
| /// ``` |
| #[rustc_allow_incoherent_impl] |
| #[must_use = "method returns a new number and does not mutate the original value"] |
| #[stable(feature = "rust1", since = "1.0.0")] |
| #[inline] |
| pub fn sinh(self) -> f64 { |
| unsafe { cmath::sinh(self) } |
| } |
| |
| /// Hyperbolic cosine function. |
| /// |
| /// # Unspecified precision |
| /// |
| /// The precision of this function is non-deterministic. This means it varies by platform, Rust version, and |
| /// can even differ within the same execution from one invocation to the next. |
| /// This function currently corresponds to the `cosh` from libc on Unix |
| /// and Windows. Note that this might change in the future. |
| /// |
| /// # Examples |
| /// |
| /// ``` |
| /// let e = std::f64::consts::E; |
| /// let x = 1.0_f64; |
| /// 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); |
| /// ``` |
| #[rustc_allow_incoherent_impl] |
| #[must_use = "method returns a new number and does not mutate the original value"] |
| #[stable(feature = "rust1", since = "1.0.0")] |
| #[inline] |
| pub fn cosh(self) -> f64 { |
| unsafe { cmath::cosh(self) } |
| } |
| |
| /// Hyperbolic tangent function. |
| /// |
| /// # Unspecified precision |
| /// |
| /// The precision of this function is non-deterministic. This means it varies by platform, Rust version, and |
| /// can even differ within the same execution from one invocation to the next. |
| /// This function currently corresponds to the `tanh` from libc on Unix |
| /// and Windows. Note that this might change in the future. |
| /// |
| /// # Examples |
| /// |
| /// ``` |
| /// let e = std::f64::consts::E; |
| /// let x = 1.0_f64; |
| /// |
| /// 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); |
| /// ``` |
| #[rustc_allow_incoherent_impl] |
| #[must_use = "method returns a new number and does not mutate the original value"] |
| #[stable(feature = "rust1", since = "1.0.0")] |
| #[inline] |
| pub fn tanh(self) -> f64 { |
| unsafe { cmath::tanh(self) } |
| } |
| |
| /// Inverse hyperbolic sine function. |
| /// |
| /// # Unspecified precision |
| /// |
| /// The precision of this function is non-deterministic. This means it varies by platform, Rust version, and |
| /// can even differ within the same execution from one invocation to the next. |
| /// |
| /// # Examples |
| /// |
| /// ``` |
| /// let x = 1.0_f64; |
| /// let f = x.sinh().asinh(); |
| /// |
| /// let abs_difference = (f - x).abs(); |
| /// |
| /// assert!(abs_difference < 1.0e-10); |
| /// ``` |
| #[doc(alias = "arcsinh")] |
| #[rustc_allow_incoherent_impl] |
| #[must_use = "method returns a new number and does not mutate the original value"] |
| #[stable(feature = "rust1", since = "1.0.0")] |
| #[inline] |
| pub fn asinh(self) -> f64 { |
| let ax = self.abs(); |
| let ix = 1.0 / ax; |
| (ax + (ax / (Self::hypot(1.0, ix) + ix))).ln_1p().copysign(self) |
| } |
| |
| /// Inverse hyperbolic cosine function. |
| /// |
| /// # Unspecified precision |
| /// |
| /// The precision of this function is non-deterministic. This means it varies by platform, Rust version, and |
| /// can even differ within the same execution from one invocation to the next. |
| /// |
| /// # Examples |
| /// |
| /// ``` |
| /// let x = 1.0_f64; |
| /// let f = x.cosh().acosh(); |
| /// |
| /// let abs_difference = (f - x).abs(); |
| /// |
| /// assert!(abs_difference < 1.0e-10); |
| /// ``` |
| #[doc(alias = "arccosh")] |
| #[rustc_allow_incoherent_impl] |
| #[must_use = "method returns a new number and does not mutate the original value"] |
| #[stable(feature = "rust1", since = "1.0.0")] |
| #[inline] |
| pub fn acosh(self) -> f64 { |
| if self < 1.0 { |
| Self::NAN |
| } else { |
| (self + ((self - 1.0).sqrt() * (self + 1.0).sqrt())).ln() |
| } |
| } |
| |
| /// Inverse hyperbolic tangent function. |
| /// |
| /// # Unspecified precision |
| /// |
| /// The precision of this function is non-deterministic. This means it varies by platform, Rust version, and |
| /// can even differ within the same execution from one invocation to the next. |
| /// |
| /// # Examples |
| /// |
| /// ``` |
| /// let e = std::f64::consts::E; |
| /// let f = e.tanh().atanh(); |
| /// |
| /// let abs_difference = (f - e).abs(); |
| /// |
| /// assert!(abs_difference < 1.0e-10); |
| /// ``` |
| #[doc(alias = "arctanh")] |
| #[rustc_allow_incoherent_impl] |
| #[must_use = "method returns a new number and does not mutate the original value"] |
| #[stable(feature = "rust1", since = "1.0.0")] |
| #[inline] |
| pub fn atanh(self) -> f64 { |
| 0.5 * ((2.0 * self) / (1.0 - self)).ln_1p() |
| } |
| |
| /// Gamma function. |
| /// |
| /// # Unspecified precision |
| /// |
| /// The precision of this function is non-deterministic. This means it varies by platform, Rust version, and |
| /// can even differ within the same execution from one invocation to the next. |
| /// This function currently corresponds to the `tgamma` from libc on Unix |
| /// and Windows. Note that this might change in the future. |
| /// |
| /// # Examples |
| /// |
| /// ``` |
| /// #![feature(float_gamma)] |
| /// let x = 5.0f64; |
| /// |
| /// let abs_difference = (x.gamma() - 24.0).abs(); |
| /// |
| /// assert!(abs_difference <= f64::EPSILON); |
| /// ``` |
| #[rustc_allow_incoherent_impl] |
| #[must_use = "method returns a new number and does not mutate the original value"] |
| #[unstable(feature = "float_gamma", issue = "99842")] |
| #[inline] |
| pub fn gamma(self) -> f64 { |
| unsafe { cmath::tgamma(self) } |
| } |
| |
| /// Natural logarithm of the absolute value of the gamma function |
| /// |
| /// The integer part of the tuple indicates the sign of the gamma function. |
| /// |
| /// # Unspecified precision |
| /// |
| /// The precision of this function is non-deterministic. This means it varies by platform, Rust version, and |
| /// can even differ within the same execution from one invocation to the next. |
| /// This function currently corresponds to the `lgamma_r` from libc on Unix |
| /// and Windows. Note that this might change in the future. |
| /// |
| /// # Examples |
| /// |
| /// ``` |
| /// #![feature(float_gamma)] |
| /// let x = 2.0f64; |
| /// |
| /// let abs_difference = (x.ln_gamma().0 - 0.0).abs(); |
| /// |
| /// assert!(abs_difference <= f64::EPSILON); |
| /// ``` |
| #[rustc_allow_incoherent_impl] |
| #[must_use = "method returns a new number and does not mutate the original value"] |
| #[unstable(feature = "float_gamma", issue = "99842")] |
| #[inline] |
| pub fn ln_gamma(self) -> (f64, i32) { |
| let mut signgamp: i32 = 0; |
| let x = unsafe { cmath::lgamma_r(self, &mut signgamp) }; |
| (x, signgamp) |
| } |
| } |