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// to you under the Apache License, Version 2.0 (the
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// under the License..

//! Constants specific to the `f32` single-precision floating point type.
//!
//! *[See also the `f32` primitive type](primitive@f32).*
//!
//! 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 `f32` type.

#![allow(missing_docs)]

use crate::intrinsics;
use crate::sys::cmath;

#[allow(deprecated, deprecated_in_future)]
pub use core::f32::{
    consts, DIGITS, EPSILON, INFINITY, MANTISSA_DIGITS, MAX, MAX_10_EXP, MAX_EXP, MIN, MIN_10_EXP,
    MIN_EXP, MIN_POSITIVE, NAN, NEG_INFINITY, RADIX,
};

#[lang = "f32_runtime"]
impl f32 {
    /// Returns the largest integer less than or equal to a number.
    ///
    /// # Examples
    ///
    /// ```
    /// let f = 3.7_f32;
    /// let g = 3.0_f32;
    /// let h = -3.7_f32;
    ///
    /// assert_eq!(f.floor(), 3.0);
    /// assert_eq!(g.floor(), 3.0);
    /// assert_eq!(h.floor(), -4.0);
    /// ```
    #[must_use = "method returns a new number and does not mutate the original value"]
    #[inline]
    pub fn floor(self) -> f32 {
        unsafe { intrinsics::floorf32(self) }
    }

    /// Returns the smallest integer greater than or equal to a number.
    ///
    /// # Examples
    ///
    /// ```
    /// let f = 3.01_f32;
    /// let g = 4.0_f32;
    ///
    /// assert_eq!(f.ceil(), 4.0);
    /// assert_eq!(g.ceil(), 4.0);
    /// ```
    #[must_use = "method returns a new number and does not mutate the original value"]
    #[inline]
    pub fn ceil(self) -> f32 {
        unsafe { intrinsics::ceilf32(self) }
    }

    /// Returns the nearest integer to a number. Round half-way cases away from
    /// `0.0`.
    ///
    /// # Examples
    ///
    /// ```
    /// let f = 3.3_f32;
    /// let g = -3.3_f32;
    ///
    /// assert_eq!(f.round(), 3.0);
    /// assert_eq!(g.round(), -3.0);
    /// ```
    #[must_use = "method returns a new number and does not mutate the original value"]
    #[inline]
    pub fn round(self) -> f32 {
        unsafe { intrinsics::roundf32(self) }
    }

    /// Returns the integer part of a number.
    ///
    /// # Examples
    ///
    /// ```
    /// let f = 3.7_f32;
    /// let g = 3.0_f32;
    /// let h = -3.7_f32;
    ///
    /// assert_eq!(f.trunc(), 3.0);
    /// assert_eq!(g.trunc(), 3.0);
    /// assert_eq!(h.trunc(), -3.0);
    /// ```
    #[must_use = "method returns a new number and does not mutate the original value"]
    #[inline]
    pub fn trunc(self) -> f32 {
        unsafe { intrinsics::truncf32(self) }
    }

    /// Returns the fractional part of a number.
    ///
    /// # Examples
    ///
    /// ```
    /// let x = 3.6_f32;
    /// let y = -3.6_f32;
    /// let abs_difference_x = (x.fract() - 0.6).abs();
    /// let abs_difference_y = (y.fract() - (-0.6)).abs();
    ///
    /// assert!(abs_difference_x <= f32::EPSILON);
    /// assert!(abs_difference_y <= f32::EPSILON);
    /// ```
    #[must_use = "method returns a new number and does not mutate the original value"]
    #[inline]
    pub fn fract(self) -> f32 {
        self - self.trunc()
    }

    /// Computes the absolute value of `self`. Returns `NAN` if the
    /// number is `NAN`.
    ///
    /// # Examples
    ///
    /// ```
    /// let x = 3.5_f32;
    /// let y = -3.5_f32;
    ///
    /// let abs_difference_x = (x.abs() - x).abs();
    /// let abs_difference_y = (y.abs() - (-y)).abs();
    ///
    /// assert!(abs_difference_x <= f32::EPSILON);
    /// assert!(abs_difference_y <= f32::EPSILON);
    ///
    /// assert!(f32::NAN.abs().is_nan());
    /// ```
    #[must_use = "method returns a new number and does not mutate the original value"]
    #[inline]
    pub fn abs(self) -> f32 {
        unsafe { intrinsics::fabsf32(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_f32;
    ///
    /// assert_eq!(f.signum(), 1.0);
    /// assert_eq!(f32::NEG_INFINITY.signum(), -1.0);
    ///
    /// assert!(f32::NAN.signum().is_nan());
    /// ```
    #[must_use = "method returns a new number and does not mutate the original value"]
    #[inline]
    pub fn signum(self) -> f32 {
        if self.is_nan() { Self::NAN } else { 1.0_f32.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 sign of
    /// `sign` is returned.
    ///
    /// # Examples
    ///
    /// ```
    /// let f = 3.5_f32;
    ///
    /// assert_eq!(f.copysign(0.42), 3.5_f32);
    /// assert_eq!(f.copysign(-0.42), -3.5_f32);
    /// assert_eq!((-f).copysign(0.42), 3.5_f32);
    /// assert_eq!((-f).copysign(-0.42), -3.5_f32);
    ///
    /// assert!(f32::NAN.copysign(1.0).is_nan());
    /// ```
    #[must_use = "method returns a new number and does not mutate the original value"]
    #[inline]
    pub fn copysign(self, sign: f32) -> f32 {
        unsafe { intrinsics::copysignf32(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.
    ///
    /// # Examples
    ///
    /// ```
    /// let m = 10.0_f32;
    /// let x = 4.0_f32;
    /// let b = 60.0_f32;
    ///
    /// // 100.0
    /// let abs_difference = (m.mul_add(x, b) - ((m * x) + b)).abs();
    ///
    /// assert!(abs_difference <= f32::EPSILON);
    /// ```
    #[must_use = "method returns a new number and does not mutate the original value"]
    #[inline]
    pub fn mul_add(self, a: f32, b: f32) -> f32 {
        unsafe { intrinsics::fmaf32(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`.
    ///
    /// # Examples
    ///
    /// ```
    /// let a: f32 = 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
    /// ```
    #[must_use = "method returns a new number and does not mutate the original value"]
    #[inline]
    pub fn div_euclid(self, rhs: f32) -> f32 {
        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)`
    /// approximatively.
    ///
    /// # Examples
    ///
    /// ```
    /// let a: f32 = 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!((-f32::EPSILON).rem_euclid(3.0) != 0.0);
    /// ```
    #[must_use = "method returns a new number and does not mutate the original value"]
    #[inline]
    pub fn rem_euclid(self, rhs: f32) -> f32 {
        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`
    ///
    /// # Examples
    ///
    /// ```
    /// let x = 2.0_f32;
    /// let abs_difference = (x.powi(2) - (x * x)).abs();
    ///
    /// assert!(abs_difference <= f32::EPSILON);
    /// ```
    #[must_use = "method returns a new number and does not mutate the original value"]
    #[inline]
    pub fn powi(self, n: i32) -> f32 {
        unsafe { intrinsics::powif32(self, n) }
    }

    /// Raises a number to a floating point power.
    ///
    /// # Examples
    ///
    /// ```
    /// let x = 2.0_f32;
    /// let abs_difference = (x.powf(2.0) - (x * x)).abs();
    ///
    /// assert!(abs_difference <= f32::EPSILON);
    /// ```
    #[must_use = "method returns a new number and does not mutate the original value"]
    #[inline]
    pub fn powf(self, n: f32) -> f32 {
        unsafe { intrinsics::powf32(self, n) }
    }

    /// Returns the square root of a number.
    ///
    /// Returns NaN if `self` is a negative number other than `-0.0`.
    ///
    /// # Examples
    ///
    /// ```
    /// let positive = 4.0_f32;
    /// let negative = -4.0_f32;
    /// let negative_zero = -0.0_f32;
    ///
    /// let abs_difference = (positive.sqrt() - 2.0).abs();
    ///
    /// assert!(abs_difference <= f32::EPSILON);
    /// assert!(negative.sqrt().is_nan());
    /// assert!(negative_zero.sqrt() == negative_zero);
    /// ```
    #[must_use = "method returns a new number and does not mutate the original value"]
    #[inline]
    pub fn sqrt(self) -> f32 {
        unsafe { intrinsics::sqrtf32(self) }
    }

    /// Returns `e^(self)`, (the exponential function).
    ///
    /// # Examples
    ///
    /// ```
    /// let one = 1.0f32;
    /// // e^1
    /// let e = one.exp();
    ///
    /// // ln(e) - 1 == 0
    /// let abs_difference = (e.ln() - 1.0).abs();
    ///
    /// assert!(abs_difference <= f32::EPSILON);
    /// ```
    #[must_use = "method returns a new number and does not mutate the original value"]
    #[inline]
    pub fn exp(self) -> f32 {
        unsafe { intrinsics::expf32(self) }
    }

    /// Returns `2^(self)`.
    ///
    /// # Examples
    ///
    /// ```
    /// let f = 2.0f32;
    ///
    /// // 2^2 - 4 == 0
    /// let abs_difference = (f.exp2() - 4.0).abs();
    ///
    /// assert!(abs_difference <= f32::EPSILON);
    /// ```
    #[must_use = "method returns a new number and does not mutate the original value"]
    #[inline]
    pub fn exp2(self) -> f32 {
        unsafe { intrinsics::exp2f32(self) }
    }

    /// Returns the natural logarithm of the number.
    ///
    /// # Examples
    ///
    /// ```
    /// let one = 1.0f32;
    /// // e^1
    /// let e = one.exp();
    ///
    /// // ln(e) - 1 == 0
    /// let abs_difference = (e.ln() - 1.0).abs();
    ///
    /// assert!(abs_difference <= f32::EPSILON);
    /// ```
    #[must_use = "method returns a new number and does not mutate the original value"]
    #[inline]
    pub fn ln(self) -> f32 {
        unsafe { intrinsics::logf32(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.
    ///
    /// # Examples
    ///
    /// ```
    /// let five = 5.0f32;
    ///
    /// // log5(5) - 1 == 0
    /// let abs_difference = (five.log(5.0) - 1.0).abs();
    ///
    /// assert!(abs_difference <= f32::EPSILON);
    /// ```
    #[must_use = "method returns a new number and does not mutate the original value"]
    #[inline]
    pub fn log(self, base: f32) -> f32 {
        self.ln() / base.ln()
    }

    /// Returns the base 2 logarithm of the number.
    ///
    /// # Examples
    ///
    /// ```
    /// let two = 2.0f32;
    ///
    /// // log2(2) - 1 == 0
    /// let abs_difference = (two.log2() - 1.0).abs();
    ///
    /// assert!(abs_difference <= f32::EPSILON);
    /// ```
    #[must_use = "method returns a new number and does not mutate the original value"]
    #[inline]
    pub fn log2(self) -> f32 {
        #[cfg(target_os = "android")]
        return crate::sys::android::log2f32(self);
        #[cfg(not(target_os = "android"))]
        return unsafe { intrinsics::log2f32(self) };
    }

    /// Returns the base 10 logarithm of the number.
    ///
    /// # Examples
    ///
    /// ```
    /// let ten = 10.0f32;
    ///
    /// // log10(10) - 1 == 0
    /// let abs_difference = (ten.log10() - 1.0).abs();
    ///
    /// assert!(abs_difference <= f32::EPSILON);
    /// ```
    #[must_use = "method returns a new number and does not mutate the original value"]
    #[inline]
    pub fn log10(self) -> f32 {
        unsafe { intrinsics::log10f32(self) }
    }

    /// The positive difference of two numbers.
    ///
    /// * If `self <= other`: `0:0`
    /// * Else: `self - other`
    ///
    /// # Examples
    ///
    /// ```
    /// let x = 3.0f32;
    /// let y = -3.0f32;
    ///
    /// 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 <= f32::EPSILON);
    /// assert!(abs_difference_y <= f32::EPSILON);
    /// ```
    #[must_use = "method returns a new number and does not mutate the original value"]
    #[inline]
    pub fn abs_sub(self, other: f32) -> f32 {
        unsafe { cmath::fdimf(self, other) }
    }

    /// Returns the cube root of a number.
    ///
    /// # Examples
    ///
    /// ```
    /// let x = 8.0f32;
    ///
    /// // x^(1/3) - 2 == 0
    /// let abs_difference = (x.cbrt() - 2.0).abs();
    ///
    /// assert!(abs_difference <= f32::EPSILON);
    /// ```
    #[must_use = "method returns a new number and does not mutate the original value"]
    #[inline]
    pub fn cbrt(self) -> f32 {
        unsafe { cmath::cbrtf(self) }
    }

    /// Calculates the length of the hypotenuse of a right-angle triangle given
    /// legs of length `x` and `y`.
    ///
    /// # Examples
    ///
    /// ```
    /// let x = 2.0f32;
    /// let y = 3.0f32;
    ///
    /// // sqrt(x^2 + y^2)
    /// let abs_difference = (x.hypot(y) - (x.powi(2) + y.powi(2)).sqrt()).abs();
    ///
    /// assert!(abs_difference <= f32::EPSILON);
    /// ```
    #[must_use = "method returns a new number and does not mutate the original value"]
    #[inline]
    pub fn hypot(self, other: f32) -> f32 {
        unsafe { cmath::hypotf(self, other) }
    }

    /// Computes the sine of a number (in radians).
    ///
    /// # Examples
    ///
    /// ```
    /// let x = std::f32::consts::FRAC_PI_2;
    ///
    /// let abs_difference = (x.sin() - 1.0).abs();
    ///
    /// assert!(abs_difference <= f32::EPSILON);
    /// ```
    #[must_use = "method returns a new number and does not mutate the original value"]
    #[inline]
    pub fn sin(self) -> f32 {
        unsafe { intrinsics::sinf32(self) }
    }

    /// Computes the cosine of a number (in radians).
    ///
    /// # Examples
    ///
    /// ```
    /// let x = 2.0 * std::f32::consts::PI;
    ///
    /// let abs_difference = (x.cos() - 1.0).abs();
    ///
    /// assert!(abs_difference <= f32::EPSILON);
    /// ```
    #[must_use = "method returns a new number and does not mutate the original value"]
    #[inline]
    pub fn cos(self) -> f32 {
        unsafe { intrinsics::cosf32(self) }
    }

    /// Computes the tangent of a number (in radians).
    ///
    /// # Examples
    ///
    /// ```
    /// let x = std::f32::consts::FRAC_PI_4;
    /// let abs_difference = (x.tan() - 1.0).abs();
    ///
    /// assert!(abs_difference <= f32::EPSILON);
    /// ```
    #[must_use = "method returns a new number and does not mutate the original value"]
    #[inline]
    pub fn tan(self) -> f32 {
        unsafe { cmath::tanf(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].
    ///
    /// # Examples
    ///
    /// ```
    /// let f = std::f32::consts::FRAC_PI_2;
    ///
    /// // asin(sin(pi/2))
    /// let abs_difference = (f.sin().asin() - std::f32::consts::FRAC_PI_2).abs();
    ///
    /// assert!(abs_difference <= f32::EPSILON);
    /// ```
    #[must_use = "method returns a new number and does not mutate the original value"]
    #[inline]
    pub fn asin(self) -> f32 {
        unsafe { cmath::asinf(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].
    ///
    /// # Examples
    ///
    /// ```
    /// let f = std::f32::consts::FRAC_PI_4;
    ///
    /// // acos(cos(pi/4))
    /// let abs_difference = (f.cos().acos() - std::f32::consts::FRAC_PI_4).abs();
    ///
    /// assert!(abs_difference <= f32::EPSILON);
    /// ```
    #[must_use = "method returns a new number and does not mutate the original value"]
    #[inline]
    pub fn acos(self) -> f32 {
        unsafe { cmath::acosf(self) }
    }

    /// Computes the arctangent of a number. Return value is in radians in the
    /// range [-pi/2, pi/2];
    ///
    /// # Examples
    ///
    /// ```
    /// let f = 1.0f32;
    ///
    /// // atan(tan(1))
    /// let abs_difference = (f.tan().atan() - 1.0).abs();
    ///
    /// assert!(abs_difference <= f32::EPSILON);
    /// ```
    #[must_use = "method returns a new number and does not mutate the original value"]
    #[inline]
    pub fn atan(self) -> f32 {
        unsafe { cmath::atanf(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)`
    ///
    /// # Examples
    ///
    /// ```
    /// // Positive angles measured counter-clockwise
    /// // from positive x axis
    /// // -pi/4 radians (45 deg clockwise)
    /// let x1 = 3.0f32;
    /// let y1 = -3.0f32;
    ///
    /// // 3pi/4 radians (135 deg counter-clockwise)
    /// let x2 = -3.0f32;
    /// let y2 = 3.0f32;
    ///
    /// let abs_difference_1 = (y1.atan2(x1) - (-std::f32::consts::FRAC_PI_4)).abs();
    /// let abs_difference_2 = (y2.atan2(x2) - (3.0 * std::f32::consts::FRAC_PI_4)).abs();
    ///
    /// assert!(abs_difference_1 <= f32::EPSILON);
    /// assert!(abs_difference_2 <= f32::EPSILON);
    /// ```
    #[must_use = "method returns a new number and does not mutate the original value"]
    #[inline]
    pub fn atan2(self, other: f32) -> f32 {
        unsafe { cmath::atan2f(self, other) }
    }

    /// Simultaneously computes the sine and cosine of the number, `x`. Returns
    /// `(sin(x), cos(x))`.
    ///
    /// # Examples
    ///
    /// ```
    /// let x = std::f32::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 <= f32::EPSILON);
    /// assert!(abs_difference_1 <= f32::EPSILON);
    /// ```
    #[inline]
    pub fn sin_cos(self) -> (f32, f32) {
        (self.sin(), self.cos())
    }

    /// Returns `e^(self) - 1` in a way that is accurate even if the
    /// number is close to zero.
    ///
    /// # Examples
    ///
    /// ```
    /// let x = 1e-8_f32;
    ///
    /// // 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-10);
    /// ```
    #[must_use = "method returns a new number and does not mutate the original value"]
    #[inline]
    pub fn exp_m1(self) -> f32 {
        unsafe { cmath::expm1f(self) }
    }

    /// Returns `ln(1+n)` (natural logarithm) more accurately than if
    /// the operations were performed separately.
    ///
    /// # Examples
    ///
    /// ```
    /// let x = 1e-8_f32;
    ///
    /// // 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-10);
    /// ```
    #[must_use = "method returns a new number and does not mutate the original value"]
    #[inline]
    pub fn ln_1p(self) -> f32 {
        unsafe { cmath::log1pf(self) }
    }

    /// Hyperbolic sine function.
    ///
    /// # Examples
    ///
    /// ```
    /// let e = std::f32::consts::E;
    /// let x = 1.0f32;
    ///
    /// 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 <= f32::EPSILON);
    /// ```
    #[must_use = "method returns a new number and does not mutate the original value"]
    #[inline]
    pub fn sinh(self) -> f32 {
        unsafe { cmath::sinhf(self) }
    }

    /// Hyperbolic cosine function.
    ///
    /// # Examples
    ///
    /// ```
    /// let e = std::f32::consts::E;
    /// let x = 1.0f32;
    /// 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 <= f32::EPSILON);
    /// ```
    #[must_use = "method returns a new number and does not mutate the original value"]
    #[inline]
    pub fn cosh(self) -> f32 {
        unsafe { cmath::coshf(self) }
    }

    /// Hyperbolic tangent function.
    ///
    /// # Examples
    ///
    /// ```
    /// let e = std::f32::consts::E;
    /// let x = 1.0f32;
    ///
    /// 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 <= f32::EPSILON);
    /// ```
    #[must_use = "method returns a new number and does not mutate the original value"]
    #[inline]
    pub fn tanh(self) -> f32 {
        unsafe { cmath::tanhf(self) }
    }

    /// Inverse hyperbolic sine function.
    ///
    /// # Examples
    ///
    /// ```
    /// let x = 1.0f32;
    /// let f = x.sinh().asinh();
    ///
    /// let abs_difference = (f - x).abs();
    ///
    /// assert!(abs_difference <= f32::EPSILON);
    /// ```
    #[must_use = "method returns a new number and does not mutate the original value"]
    #[inline]
    pub fn asinh(self) -> f32 {
        (self.abs() + ((self * self) + 1.0).sqrt()).ln().copysign(self)
    }

    /// Inverse hyperbolic cosine function.
    ///
    /// # Examples
    ///
    /// ```
    /// let x = 1.0f32;
    /// let f = x.cosh().acosh();
    ///
    /// let abs_difference = (f - x).abs();
    ///
    /// assert!(abs_difference <= f32::EPSILON);
    /// ```
    #[must_use = "method returns a new number and does not mutate the original value"]
    #[inline]
    pub fn acosh(self) -> f32 {
        if self < 1.0 { Self::NAN } else { (self + ((self * self) - 1.0).sqrt()).ln() }
    }

    /// Inverse hyperbolic tangent function.
    ///
    /// # Examples
    ///
    /// ```
    /// let e = std::f32::consts::E;
    /// let f = e.tanh().atanh();
    ///
    /// let abs_difference = (f - e).abs();
    ///
    /// assert!(abs_difference <= 1e-5);
    /// ```
    #[must_use = "method returns a new number and does not mutate the original value"]
    #[inline]
    pub fn atanh(self) -> f32 {
        0.5 * ((2.0 * self) / (1.0 - self)).ln_1p()
    }

    /// Linear interpolation between `start` and `end`.
    ///
    /// This enables linear interpolation between `start` and `end`, where start is represented by
    /// `self == 0.0` and `end` is represented by `self == 1.0`. This is the basis of all
    /// "transition", "easing", or "step" functions; if you change `self` from 0.0 to 1.0
    /// at a given rate, the result will change from `start` to `end` at a similar rate.
    ///
    /// Values below 0.0 or above 1.0 are allowed, allowing you to extrapolate values outside the
    /// range from `start` to `end`. This also is useful for transition functions which might
    /// move slightly past the end or start for a desired effect. Mathematically, the values
    /// returned are equivalent to `start + self * (end - start)`, although we make a few specific
    /// guarantees that are useful specifically to linear interpolation.
    ///
    /// These guarantees are:
    ///
    /// * If `start` and `end` are [finite], the value at 0.0 is always `start` and the
    ///   value at 1.0 is always `end`. (exactness)
    /// * If `start` and `end` are [finite], the values will always move in the direction from
    ///   `start` to `end` (monotonicity)
    /// * If `self` is [finite] and `start == end`, the value at any point will always be
    ///   `start == end`. (consistency)
    ///
    /// [finite]: #method.is_finite
    #[must_use = "method returns a new number and does not mutate the original value"]
    #[allow(clippy::float_cmp)]
    pub fn lerp(self, start: f32, end: f32) -> f32 {
        // consistent
        if start == end {
            start

        // exact/monotonic
        } else {
            self.mul_add(end, (-self).mul_add(start, start))
        }
    }
}