1 use core::mem;
2 use core::num::FpCategory;
3 use core::ops::{Add, Neg};
4 
5 use core::f32;
6 use core::f64;
7 
8 use {Num, NumCast, ToPrimitive};
9 
10 #[cfg(all(not(feature = "std"), feature = "libm"))]
11 use libm;
12 
13 /// Generic trait for floating point numbers that works with `no_std`.
14 ///
15 /// This trait implements a subset of the `Float` trait.
16 pub trait FloatCore: Num + NumCast + Neg<Output = Self> + PartialOrd + Copy {
17     /// Returns positive infinity.
18     ///
19     /// # Examples
20     ///
21     /// ```
22     /// use num_traits::float::FloatCore;
23     /// use std::{f32, f64};
24     ///
25     /// fn check<T: FloatCore>(x: T) {
26     ///     assert!(T::infinity() == x);
27     /// }
28     ///
29     /// check(f32::INFINITY);
30     /// check(f64::INFINITY);
31     /// ```
infinity() -> Self32     fn infinity() -> Self;
33 
34     /// Returns negative infinity.
35     ///
36     /// # Examples
37     ///
38     /// ```
39     /// use num_traits::float::FloatCore;
40     /// use std::{f32, f64};
41     ///
42     /// fn check<T: FloatCore>(x: T) {
43     ///     assert!(T::neg_infinity() == x);
44     /// }
45     ///
46     /// check(f32::NEG_INFINITY);
47     /// check(f64::NEG_INFINITY);
48     /// ```
neg_infinity() -> Self49     fn neg_infinity() -> Self;
50 
51     /// Returns NaN.
52     ///
53     /// # Examples
54     ///
55     /// ```
56     /// use num_traits::float::FloatCore;
57     ///
58     /// fn check<T: FloatCore>() {
59     ///     let n = T::nan();
60     ///     assert!(n != n);
61     /// }
62     ///
63     /// check::<f32>();
64     /// check::<f64>();
65     /// ```
nan() -> Self66     fn nan() -> Self;
67 
68     /// Returns `-0.0`.
69     ///
70     /// # Examples
71     ///
72     /// ```
73     /// use num_traits::float::FloatCore;
74     /// use std::{f32, f64};
75     ///
76     /// fn check<T: FloatCore>(n: T) {
77     ///     let z = T::neg_zero();
78     ///     assert!(z.is_zero());
79     ///     assert!(T::one() / z == n);
80     /// }
81     ///
82     /// check(f32::NEG_INFINITY);
83     /// check(f64::NEG_INFINITY);
84     /// ```
neg_zero() -> Self85     fn neg_zero() -> Self;
86 
87     /// Returns the smallest finite value that this type can represent.
88     ///
89     /// # Examples
90     ///
91     /// ```
92     /// use num_traits::float::FloatCore;
93     /// use std::{f32, f64};
94     ///
95     /// fn check<T: FloatCore>(x: T) {
96     ///     assert!(T::min_value() == x);
97     /// }
98     ///
99     /// check(f32::MIN);
100     /// check(f64::MIN);
101     /// ```
min_value() -> Self102     fn min_value() -> Self;
103 
104     /// Returns the smallest positive, normalized value that this type can represent.
105     ///
106     /// # Examples
107     ///
108     /// ```
109     /// use num_traits::float::FloatCore;
110     /// use std::{f32, f64};
111     ///
112     /// fn check<T: FloatCore>(x: T) {
113     ///     assert!(T::min_positive_value() == x);
114     /// }
115     ///
116     /// check(f32::MIN_POSITIVE);
117     /// check(f64::MIN_POSITIVE);
118     /// ```
min_positive_value() -> Self119     fn min_positive_value() -> Self;
120 
121     /// Returns epsilon, a small positive value.
122     ///
123     /// # Examples
124     ///
125     /// ```
126     /// use num_traits::float::FloatCore;
127     /// use std::{f32, f64};
128     ///
129     /// fn check<T: FloatCore>(x: T) {
130     ///     assert!(T::epsilon() == x);
131     /// }
132     ///
133     /// check(f32::EPSILON);
134     /// check(f64::EPSILON);
135     /// ```
epsilon() -> Self136     fn epsilon() -> Self;
137 
138     /// Returns the largest finite value that this type can represent.
139     ///
140     /// # Examples
141     ///
142     /// ```
143     /// use num_traits::float::FloatCore;
144     /// use std::{f32, f64};
145     ///
146     /// fn check<T: FloatCore>(x: T) {
147     ///     assert!(T::max_value() == x);
148     /// }
149     ///
150     /// check(f32::MAX);
151     /// check(f64::MAX);
152     /// ```
max_value() -> Self153     fn max_value() -> Self;
154 
155     /// Returns `true` if the number is NaN.
156     ///
157     /// # Examples
158     ///
159     /// ```
160     /// use num_traits::float::FloatCore;
161     /// use std::{f32, f64};
162     ///
163     /// fn check<T: FloatCore>(x: T, p: bool) {
164     ///     assert!(x.is_nan() == p);
165     /// }
166     ///
167     /// check(f32::NAN, true);
168     /// check(f32::INFINITY, false);
169     /// check(f64::NAN, true);
170     /// check(0.0f64, false);
171     /// ```
172     #[inline]
is_nan(self) -> bool173     fn is_nan(self) -> bool {
174         self != self
175     }
176 
177     /// Returns `true` if the number is infinite.
178     ///
179     /// # Examples
180     ///
181     /// ```
182     /// use num_traits::float::FloatCore;
183     /// use std::{f32, f64};
184     ///
185     /// fn check<T: FloatCore>(x: T, p: bool) {
186     ///     assert!(x.is_infinite() == p);
187     /// }
188     ///
189     /// check(f32::INFINITY, true);
190     /// check(f32::NEG_INFINITY, true);
191     /// check(f32::NAN, false);
192     /// check(f64::INFINITY, true);
193     /// check(f64::NEG_INFINITY, true);
194     /// check(0.0f64, false);
195     /// ```
196     #[inline]
is_infinite(self) -> bool197     fn is_infinite(self) -> bool {
198         self == Self::infinity() || self == Self::neg_infinity()
199     }
200 
201     /// Returns `true` if the number is neither infinite or NaN.
202     ///
203     /// # Examples
204     ///
205     /// ```
206     /// use num_traits::float::FloatCore;
207     /// use std::{f32, f64};
208     ///
209     /// fn check<T: FloatCore>(x: T, p: bool) {
210     ///     assert!(x.is_finite() == p);
211     /// }
212     ///
213     /// check(f32::INFINITY, false);
214     /// check(f32::MAX, true);
215     /// check(f64::NEG_INFINITY, false);
216     /// check(f64::MIN_POSITIVE, true);
217     /// check(f64::NAN, false);
218     /// ```
219     #[inline]
is_finite(self) -> bool220     fn is_finite(self) -> bool {
221         !(self.is_nan() || self.is_infinite())
222     }
223 
224     /// Returns `true` if the number is neither zero, infinite, subnormal or NaN.
225     ///
226     /// # Examples
227     ///
228     /// ```
229     /// use num_traits::float::FloatCore;
230     /// use std::{f32, f64};
231     ///
232     /// fn check<T: FloatCore>(x: T, p: bool) {
233     ///     assert!(x.is_normal() == p);
234     /// }
235     ///
236     /// check(f32::INFINITY, false);
237     /// check(f32::MAX, true);
238     /// check(f64::NEG_INFINITY, false);
239     /// check(f64::MIN_POSITIVE, true);
240     /// check(0.0f64, false);
241     /// ```
242     #[inline]
is_normal(self) -> bool243     fn is_normal(self) -> bool {
244         self.classify() == FpCategory::Normal
245     }
246 
247     /// Returns the floating point category of the number. If only one property
248     /// is going to be tested, it is generally faster to use the specific
249     /// predicate instead.
250     ///
251     /// # Examples
252     ///
253     /// ```
254     /// use num_traits::float::FloatCore;
255     /// use std::{f32, f64};
256     /// use std::num::FpCategory;
257     ///
258     /// fn check<T: FloatCore>(x: T, c: FpCategory) {
259     ///     assert!(x.classify() == c);
260     /// }
261     ///
262     /// check(f32::INFINITY, FpCategory::Infinite);
263     /// check(f32::MAX, FpCategory::Normal);
264     /// check(f64::NAN, FpCategory::Nan);
265     /// check(f64::MIN_POSITIVE, FpCategory::Normal);
266     /// check(f64::MIN_POSITIVE / 2.0, FpCategory::Subnormal);
267     /// check(0.0f64, FpCategory::Zero);
268     /// ```
classify(self) -> FpCategory269     fn classify(self) -> FpCategory;
270 
271     /// Returns the largest integer less than or equal to a number.
272     ///
273     /// # Examples
274     ///
275     /// ```
276     /// use num_traits::float::FloatCore;
277     /// use std::{f32, f64};
278     ///
279     /// fn check<T: FloatCore>(x: T, y: T) {
280     ///     assert!(x.floor() == y);
281     /// }
282     ///
283     /// check(f32::INFINITY, f32::INFINITY);
284     /// check(0.9f32, 0.0);
285     /// check(1.0f32, 1.0);
286     /// check(1.1f32, 1.0);
287     /// check(-0.0f64, 0.0);
288     /// check(-0.9f64, -1.0);
289     /// check(-1.0f64, -1.0);
290     /// check(-1.1f64, -2.0);
291     /// check(f64::MIN, f64::MIN);
292     /// ```
293     #[inline]
floor(self) -> Self294     fn floor(self) -> Self {
295         let f = self.fract();
296         if f.is_nan() || f.is_zero() {
297             self
298         } else if self < Self::zero() {
299             self - f - Self::one()
300         } else {
301             self - f
302         }
303     }
304 
305     /// Returns the smallest integer greater than or equal to a number.
306     ///
307     /// # Examples
308     ///
309     /// ```
310     /// use num_traits::float::FloatCore;
311     /// use std::{f32, f64};
312     ///
313     /// fn check<T: FloatCore>(x: T, y: T) {
314     ///     assert!(x.ceil() == y);
315     /// }
316     ///
317     /// check(f32::INFINITY, f32::INFINITY);
318     /// check(0.9f32, 1.0);
319     /// check(1.0f32, 1.0);
320     /// check(1.1f32, 2.0);
321     /// check(-0.0f64, 0.0);
322     /// check(-0.9f64, -0.0);
323     /// check(-1.0f64, -1.0);
324     /// check(-1.1f64, -1.0);
325     /// check(f64::MIN, f64::MIN);
326     /// ```
327     #[inline]
ceil(self) -> Self328     fn ceil(self) -> Self {
329         let f = self.fract();
330         if f.is_nan() || f.is_zero() {
331             self
332         } else if self > Self::zero() {
333             self - f + Self::one()
334         } else {
335             self - f
336         }
337     }
338 
339     /// Returns the nearest integer to a number. Round half-way cases away from `0.0`.
340     ///
341     /// # Examples
342     ///
343     /// ```
344     /// use num_traits::float::FloatCore;
345     /// use std::{f32, f64};
346     ///
347     /// fn check<T: FloatCore>(x: T, y: T) {
348     ///     assert!(x.round() == y);
349     /// }
350     ///
351     /// check(f32::INFINITY, f32::INFINITY);
352     /// check(0.4f32, 0.0);
353     /// check(0.5f32, 1.0);
354     /// check(0.6f32, 1.0);
355     /// check(-0.4f64, 0.0);
356     /// check(-0.5f64, -1.0);
357     /// check(-0.6f64, -1.0);
358     /// check(f64::MIN, f64::MIN);
359     /// ```
360     #[inline]
round(self) -> Self361     fn round(self) -> Self {
362         let one = Self::one();
363         let h = Self::from(0.5).expect("Unable to cast from 0.5");
364         let f = self.fract();
365         if f.is_nan() || f.is_zero() {
366             self
367         } else if self > Self::zero() {
368             if f < h {
369                 self - f
370             } else {
371                 self - f + one
372             }
373         } else {
374             if -f < h {
375                 self - f
376             } else {
377                 self - f - one
378             }
379         }
380     }
381 
382     /// Return the integer part of a number.
383     ///
384     /// # Examples
385     ///
386     /// ```
387     /// use num_traits::float::FloatCore;
388     /// use std::{f32, f64};
389     ///
390     /// fn check<T: FloatCore>(x: T, y: T) {
391     ///     assert!(x.trunc() == y);
392     /// }
393     ///
394     /// check(f32::INFINITY, f32::INFINITY);
395     /// check(0.9f32, 0.0);
396     /// check(1.0f32, 1.0);
397     /// check(1.1f32, 1.0);
398     /// check(-0.0f64, 0.0);
399     /// check(-0.9f64, -0.0);
400     /// check(-1.0f64, -1.0);
401     /// check(-1.1f64, -1.0);
402     /// check(f64::MIN, f64::MIN);
403     /// ```
404     #[inline]
trunc(self) -> Self405     fn trunc(self) -> Self {
406         let f = self.fract();
407         if f.is_nan() {
408             self
409         } else {
410             self - f
411         }
412     }
413 
414     /// Returns the fractional part of a number.
415     ///
416     /// # Examples
417     ///
418     /// ```
419     /// use num_traits::float::FloatCore;
420     /// use std::{f32, f64};
421     ///
422     /// fn check<T: FloatCore>(x: T, y: T) {
423     ///     assert!(x.fract() == y);
424     /// }
425     ///
426     /// check(f32::MAX, 0.0);
427     /// check(0.75f32, 0.75);
428     /// check(1.0f32, 0.0);
429     /// check(1.25f32, 0.25);
430     /// check(-0.0f64, 0.0);
431     /// check(-0.75f64, -0.75);
432     /// check(-1.0f64, 0.0);
433     /// check(-1.25f64, -0.25);
434     /// check(f64::MIN, 0.0);
435     /// ```
436     #[inline]
fract(self) -> Self437     fn fract(self) -> Self {
438         if self.is_zero() {
439             Self::zero()
440         } else {
441             self % Self::one()
442         }
443     }
444 
445     /// Computes the absolute value of `self`. Returns `FloatCore::nan()` if the
446     /// number is `FloatCore::nan()`.
447     ///
448     /// # Examples
449     ///
450     /// ```
451     /// use num_traits::float::FloatCore;
452     /// use std::{f32, f64};
453     ///
454     /// fn check<T: FloatCore>(x: T, y: T) {
455     ///     assert!(x.abs() == y);
456     /// }
457     ///
458     /// check(f32::INFINITY, f32::INFINITY);
459     /// check(1.0f32, 1.0);
460     /// check(0.0f64, 0.0);
461     /// check(-0.0f64, 0.0);
462     /// check(-1.0f64, 1.0);
463     /// check(f64::MIN, f64::MAX);
464     /// ```
465     #[inline]
abs(self) -> Self466     fn abs(self) -> Self {
467         if self.is_sign_positive() {
468             return self;
469         }
470         if self.is_sign_negative() {
471             return -self;
472         }
473         Self::nan()
474     }
475 
476     /// Returns a number that represents the sign of `self`.
477     ///
478     /// - `1.0` if the number is positive, `+0.0` or `FloatCore::infinity()`
479     /// - `-1.0` if the number is negative, `-0.0` or `FloatCore::neg_infinity()`
480     /// - `FloatCore::nan()` if the number is `FloatCore::nan()`
481     ///
482     /// # Examples
483     ///
484     /// ```
485     /// use num_traits::float::FloatCore;
486     /// use std::{f32, f64};
487     ///
488     /// fn check<T: FloatCore>(x: T, y: T) {
489     ///     assert!(x.signum() == y);
490     /// }
491     ///
492     /// check(f32::INFINITY, 1.0);
493     /// check(3.0f32, 1.0);
494     /// check(0.0f32, 1.0);
495     /// check(-0.0f64, -1.0);
496     /// check(-3.0f64, -1.0);
497     /// check(f64::MIN, -1.0);
498     /// ```
499     #[inline]
signum(self) -> Self500     fn signum(self) -> Self {
501         if self.is_nan() {
502             Self::nan()
503         } else if self.is_sign_negative() {
504             -Self::one()
505         } else {
506             Self::one()
507         }
508     }
509 
510     /// Returns `true` if `self` is positive, including `+0.0` and
511     /// `FloatCore::infinity()`, and since Rust 1.20 also
512     /// `FloatCore::nan()`.
513     ///
514     /// # Examples
515     ///
516     /// ```
517     /// use num_traits::float::FloatCore;
518     /// use std::{f32, f64};
519     ///
520     /// fn check<T: FloatCore>(x: T, p: bool) {
521     ///     assert!(x.is_sign_positive() == p);
522     /// }
523     ///
524     /// check(f32::INFINITY, true);
525     /// check(f32::MAX, true);
526     /// check(0.0f32, true);
527     /// check(-0.0f64, false);
528     /// check(f64::NEG_INFINITY, false);
529     /// check(f64::MIN_POSITIVE, true);
530     /// check(-f64::NAN, false);
531     /// ```
532     #[inline]
is_sign_positive(self) -> bool533     fn is_sign_positive(self) -> bool {
534         !self.is_sign_negative()
535     }
536 
537     /// Returns `true` if `self` is negative, including `-0.0` and
538     /// `FloatCore::neg_infinity()`, and since Rust 1.20 also
539     /// `-FloatCore::nan()`.
540     ///
541     /// # Examples
542     ///
543     /// ```
544     /// use num_traits::float::FloatCore;
545     /// use std::{f32, f64};
546     ///
547     /// fn check<T: FloatCore>(x: T, p: bool) {
548     ///     assert!(x.is_sign_negative() == p);
549     /// }
550     ///
551     /// check(f32::INFINITY, false);
552     /// check(f32::MAX, false);
553     /// check(0.0f32, false);
554     /// check(-0.0f64, true);
555     /// check(f64::NEG_INFINITY, true);
556     /// check(f64::MIN_POSITIVE, false);
557     /// check(f64::NAN, false);
558     /// ```
559     #[inline]
is_sign_negative(self) -> bool560     fn is_sign_negative(self) -> bool {
561         let (_, _, sign) = self.integer_decode();
562         sign < 0
563     }
564 
565     /// Returns the minimum of the two numbers.
566     ///
567     /// If one of the arguments is NaN, then the other argument is returned.
568     ///
569     /// # Examples
570     ///
571     /// ```
572     /// use num_traits::float::FloatCore;
573     /// use std::{f32, f64};
574     ///
575     /// fn check<T: FloatCore>(x: T, y: T, min: T) {
576     ///     assert!(x.min(y) == min);
577     /// }
578     ///
579     /// check(1.0f32, 2.0, 1.0);
580     /// check(f32::NAN, 2.0, 2.0);
581     /// check(1.0f64, -2.0, -2.0);
582     /// check(1.0f64, f64::NAN, 1.0);
583     /// ```
584     #[inline]
min(self, other: Self) -> Self585     fn min(self, other: Self) -> Self {
586         if self.is_nan() {
587             return other;
588         }
589         if other.is_nan() {
590             return self;
591         }
592         if self < other {
593             self
594         } else {
595             other
596         }
597     }
598 
599     /// Returns the maximum of the two numbers.
600     ///
601     /// If one of the arguments is NaN, then the other argument is returned.
602     ///
603     /// # Examples
604     ///
605     /// ```
606     /// use num_traits::float::FloatCore;
607     /// use std::{f32, f64};
608     ///
609     /// fn check<T: FloatCore>(x: T, y: T, min: T) {
610     ///     assert!(x.max(y) == min);
611     /// }
612     ///
613     /// check(1.0f32, 2.0, 2.0);
614     /// check(1.0f32, f32::NAN, 1.0);
615     /// check(-1.0f64, 2.0, 2.0);
616     /// check(-1.0f64, f64::NAN, -1.0);
617     /// ```
618     #[inline]
max(self, other: Self) -> Self619     fn max(self, other: Self) -> Self {
620         if self.is_nan() {
621             return other;
622         }
623         if other.is_nan() {
624             return self;
625         }
626         if self > other {
627             self
628         } else {
629             other
630         }
631     }
632 
633     /// Returns the reciprocal (multiplicative inverse) of the number.
634     ///
635     /// # Examples
636     ///
637     /// ```
638     /// use num_traits::float::FloatCore;
639     /// use std::{f32, f64};
640     ///
641     /// fn check<T: FloatCore>(x: T, y: T) {
642     ///     assert!(x.recip() == y);
643     ///     assert!(y.recip() == x);
644     /// }
645     ///
646     /// check(f32::INFINITY, 0.0);
647     /// check(2.0f32, 0.5);
648     /// check(-0.25f64, -4.0);
649     /// check(-0.0f64, f64::NEG_INFINITY);
650     /// ```
651     #[inline]
recip(self) -> Self652     fn recip(self) -> Self {
653         Self::one() / self
654     }
655 
656     /// Raise a number to an integer power.
657     ///
658     /// Using this function is generally faster than using `powf`
659     ///
660     /// # Examples
661     ///
662     /// ```
663     /// use num_traits::float::FloatCore;
664     ///
665     /// fn check<T: FloatCore>(x: T, exp: i32, powi: T) {
666     ///     assert!(x.powi(exp) == powi);
667     /// }
668     ///
669     /// check(9.0f32, 2, 81.0);
670     /// check(1.0f32, -2, 1.0);
671     /// check(10.0f64, 20, 1e20);
672     /// check(4.0f64, -2, 0.0625);
673     /// check(-1.0f64, std::i32::MIN, 1.0);
674     /// ```
675     #[inline]
powi(mut self, mut exp: i32) -> Self676     fn powi(mut self, mut exp: i32) -> Self {
677         if exp < 0 {
678             exp = exp.wrapping_neg();
679             self = self.recip();
680         }
681         // It should always be possible to convert a positive `i32` to a `usize`.
682         // Note, `i32::MIN` will wrap and still be negative, so we need to convert
683         // to `u32` without sign-extension before growing to `usize`.
684         super::pow(self, (exp as u32).to_usize().unwrap())
685     }
686 
687     /// Converts to degrees, assuming the number is in radians.
688     ///
689     /// # Examples
690     ///
691     /// ```
692     /// use num_traits::float::FloatCore;
693     /// use std::{f32, f64};
694     ///
695     /// fn check<T: FloatCore>(rad: T, deg: T) {
696     ///     assert!(rad.to_degrees() == deg);
697     /// }
698     ///
699     /// check(0.0f32, 0.0);
700     /// check(f32::consts::PI, 180.0);
701     /// check(f64::consts::FRAC_PI_4, 45.0);
702     /// check(f64::INFINITY, f64::INFINITY);
703     /// ```
to_degrees(self) -> Self704     fn to_degrees(self) -> Self;
705 
706     /// Converts to radians, assuming the number is in degrees.
707     ///
708     /// # Examples
709     ///
710     /// ```
711     /// use num_traits::float::FloatCore;
712     /// use std::{f32, f64};
713     ///
714     /// fn check<T: FloatCore>(deg: T, rad: T) {
715     ///     assert!(deg.to_radians() == rad);
716     /// }
717     ///
718     /// check(0.0f32, 0.0);
719     /// check(180.0, f32::consts::PI);
720     /// check(45.0, f64::consts::FRAC_PI_4);
721     /// check(f64::INFINITY, f64::INFINITY);
722     /// ```
to_radians(self) -> Self723     fn to_radians(self) -> Self;
724 
725     /// Returns the mantissa, base 2 exponent, and sign as integers, respectively.
726     /// The original number can be recovered by `sign * mantissa * 2 ^ exponent`.
727     ///
728     /// # Examples
729     ///
730     /// ```
731     /// use num_traits::float::FloatCore;
732     /// use std::{f32, f64};
733     ///
734     /// fn check<T: FloatCore>(x: T, m: u64, e: i16, s:i8) {
735     ///     let (mantissa, exponent, sign) = x.integer_decode();
736     ///     assert_eq!(mantissa, m);
737     ///     assert_eq!(exponent, e);
738     ///     assert_eq!(sign, s);
739     /// }
740     ///
741     /// check(2.0f32, 1 << 23, -22, 1);
742     /// check(-2.0f32, 1 << 23, -22, -1);
743     /// check(f32::INFINITY, 1 << 23, 105, 1);
744     /// check(f64::NEG_INFINITY, 1 << 52, 972, -1);
745     /// ```
integer_decode(self) -> (u64, i16, i8)746     fn integer_decode(self) -> (u64, i16, i8);
747 }
748 
749 impl FloatCore for f32 {
750     constant! {
751         infinity() -> f32::INFINITY;
752         neg_infinity() -> f32::NEG_INFINITY;
753         nan() -> f32::NAN;
754         neg_zero() -> -0.0;
755         min_value() -> f32::MIN;
756         min_positive_value() -> f32::MIN_POSITIVE;
757         epsilon() -> f32::EPSILON;
758         max_value() -> f32::MAX;
759     }
760 
761     #[inline]
integer_decode(self) -> (u64, i16, i8)762     fn integer_decode(self) -> (u64, i16, i8) {
763         integer_decode_f32(self)
764     }
765 
766     #[inline]
767     #[cfg(not(feature = "std"))]
classify(self) -> FpCategory768     fn classify(self) -> FpCategory {
769         const EXP_MASK: u32 = 0x7f800000;
770         const MAN_MASK: u32 = 0x007fffff;
771 
772         // Safety: this identical to the implementation of f32::to_bits(),
773         // which is only available starting at Rust 1.20
774         let bits: u32 = unsafe { mem::transmute(self) };
775         match (bits & MAN_MASK, bits & EXP_MASK) {
776             (0, 0) => FpCategory::Zero,
777             (_, 0) => FpCategory::Subnormal,
778             (0, EXP_MASK) => FpCategory::Infinite,
779             (_, EXP_MASK) => FpCategory::Nan,
780             _ => FpCategory::Normal,
781         }
782     }
783 
784     #[inline]
785     #[cfg(not(feature = "std"))]
to_degrees(self) -> Self786     fn to_degrees(self) -> Self {
787         // Use a constant for better precision.
788         const PIS_IN_180: f32 = 57.2957795130823208767981548141051703_f32;
789         self * PIS_IN_180
790     }
791 
792     #[inline]
793     #[cfg(not(feature = "std"))]
to_radians(self) -> Self794     fn to_radians(self) -> Self {
795         self * (f32::consts::PI / 180.0)
796     }
797 
798     #[cfg(feature = "std")]
799     forward! {
800         Self::is_nan(self) -> bool;
801         Self::is_infinite(self) -> bool;
802         Self::is_finite(self) -> bool;
803         Self::is_normal(self) -> bool;
804         Self::classify(self) -> FpCategory;
805         Self::floor(self) -> Self;
806         Self::ceil(self) -> Self;
807         Self::round(self) -> Self;
808         Self::trunc(self) -> Self;
809         Self::fract(self) -> Self;
810         Self::abs(self) -> Self;
811         Self::signum(self) -> Self;
812         Self::is_sign_positive(self) -> bool;
813         Self::is_sign_negative(self) -> bool;
814         Self::min(self, other: Self) -> Self;
815         Self::max(self, other: Self) -> Self;
816         Self::recip(self) -> Self;
817         Self::powi(self, n: i32) -> Self;
818         Self::to_degrees(self) -> Self;
819         Self::to_radians(self) -> Self;
820     }
821 }
822 
823 impl FloatCore for f64 {
824     constant! {
825         infinity() -> f64::INFINITY;
826         neg_infinity() -> f64::NEG_INFINITY;
827         nan() -> f64::NAN;
828         neg_zero() -> -0.0;
829         min_value() -> f64::MIN;
830         min_positive_value() -> f64::MIN_POSITIVE;
831         epsilon() -> f64::EPSILON;
832         max_value() -> f64::MAX;
833     }
834 
835     #[inline]
integer_decode(self) -> (u64, i16, i8)836     fn integer_decode(self) -> (u64, i16, i8) {
837         integer_decode_f64(self)
838     }
839 
840     #[inline]
841     #[cfg(not(feature = "std"))]
classify(self) -> FpCategory842     fn classify(self) -> FpCategory {
843         const EXP_MASK: u64 = 0x7ff0000000000000;
844         const MAN_MASK: u64 = 0x000fffffffffffff;
845 
846         // Safety: this identical to the implementation of f64::to_bits(),
847         // which is only available starting at Rust 1.20
848         let bits: u64 = unsafe { mem::transmute(self) };
849         match (bits & MAN_MASK, bits & EXP_MASK) {
850             (0, 0) => FpCategory::Zero,
851             (_, 0) => FpCategory::Subnormal,
852             (0, EXP_MASK) => FpCategory::Infinite,
853             (_, EXP_MASK) => FpCategory::Nan,
854             _ => FpCategory::Normal,
855         }
856     }
857 
858     #[inline]
859     #[cfg(not(feature = "std"))]
to_degrees(self) -> Self860     fn to_degrees(self) -> Self {
861         // The division here is correctly rounded with respect to the true
862         // value of 180/π. (This differs from f32, where a constant must be
863         // used to ensure a correctly rounded result.)
864         self * (180.0 / f64::consts::PI)
865     }
866 
867     #[inline]
868     #[cfg(not(feature = "std"))]
to_radians(self) -> Self869     fn to_radians(self) -> Self {
870         self * (f64::consts::PI / 180.0)
871     }
872 
873     #[cfg(feature = "std")]
874     forward! {
875         Self::is_nan(self) -> bool;
876         Self::is_infinite(self) -> bool;
877         Self::is_finite(self) -> bool;
878         Self::is_normal(self) -> bool;
879         Self::classify(self) -> FpCategory;
880         Self::floor(self) -> Self;
881         Self::ceil(self) -> Self;
882         Self::round(self) -> Self;
883         Self::trunc(self) -> Self;
884         Self::fract(self) -> Self;
885         Self::abs(self) -> Self;
886         Self::signum(self) -> Self;
887         Self::is_sign_positive(self) -> bool;
888         Self::is_sign_negative(self) -> bool;
889         Self::min(self, other: Self) -> Self;
890         Self::max(self, other: Self) -> Self;
891         Self::recip(self) -> Self;
892         Self::powi(self, n: i32) -> Self;
893         Self::to_degrees(self) -> Self;
894         Self::to_radians(self) -> Self;
895     }
896 }
897 
898 // FIXME: these doctests aren't actually helpful, because they're using and
899 // testing the inherent methods directly, not going through `Float`.
900 
901 /// Generic trait for floating point numbers
902 ///
903 /// This trait is only available with the `std` feature, or with the `libm` feature otherwise.
904 #[cfg(any(feature = "std", feature = "libm"))]
905 pub trait Float: Num + Copy + NumCast + PartialOrd + Neg<Output = Self> {
906     /// Returns the `NaN` value.
907     ///
908     /// ```
909     /// use num_traits::Float;
910     ///
911     /// let nan: f32 = Float::nan();
912     ///
913     /// assert!(nan.is_nan());
914     /// ```
nan() -> Self915     fn nan() -> Self;
916     /// Returns the infinite value.
917     ///
918     /// ```
919     /// use num_traits::Float;
920     /// use std::f32;
921     ///
922     /// let infinity: f32 = Float::infinity();
923     ///
924     /// assert!(infinity.is_infinite());
925     /// assert!(!infinity.is_finite());
926     /// assert!(infinity > f32::MAX);
927     /// ```
infinity() -> Self928     fn infinity() -> Self;
929     /// Returns the negative infinite value.
930     ///
931     /// ```
932     /// use num_traits::Float;
933     /// use std::f32;
934     ///
935     /// let neg_infinity: f32 = Float::neg_infinity();
936     ///
937     /// assert!(neg_infinity.is_infinite());
938     /// assert!(!neg_infinity.is_finite());
939     /// assert!(neg_infinity < f32::MIN);
940     /// ```
neg_infinity() -> Self941     fn neg_infinity() -> Self;
942     /// Returns `-0.0`.
943     ///
944     /// ```
945     /// use num_traits::{Zero, Float};
946     ///
947     /// let inf: f32 = Float::infinity();
948     /// let zero: f32 = Zero::zero();
949     /// let neg_zero: f32 = Float::neg_zero();
950     ///
951     /// assert_eq!(zero, neg_zero);
952     /// assert_eq!(7.0f32/inf, zero);
953     /// assert_eq!(zero * 10.0, zero);
954     /// ```
neg_zero() -> Self955     fn neg_zero() -> Self;
956 
957     /// Returns the smallest finite value that this type can represent.
958     ///
959     /// ```
960     /// use num_traits::Float;
961     /// use std::f64;
962     ///
963     /// let x: f64 = Float::min_value();
964     ///
965     /// assert_eq!(x, f64::MIN);
966     /// ```
min_value() -> Self967     fn min_value() -> Self;
968 
969     /// Returns the smallest positive, normalized value that this type can represent.
970     ///
971     /// ```
972     /// use num_traits::Float;
973     /// use std::f64;
974     ///
975     /// let x: f64 = Float::min_positive_value();
976     ///
977     /// assert_eq!(x, f64::MIN_POSITIVE);
978     /// ```
min_positive_value() -> Self979     fn min_positive_value() -> Self;
980 
981     /// Returns epsilon, a small positive value.
982     ///
983     /// ```
984     /// use num_traits::Float;
985     /// use std::f64;
986     ///
987     /// let x: f64 = Float::epsilon();
988     ///
989     /// assert_eq!(x, f64::EPSILON);
990     /// ```
991     ///
992     /// # Panics
993     ///
994     /// The default implementation will panic if `f32::EPSILON` cannot
995     /// be cast to `Self`.
epsilon() -> Self996     fn epsilon() -> Self {
997         Self::from(f32::EPSILON).expect("Unable to cast from f32::EPSILON")
998     }
999 
1000     /// Returns the largest finite value that this type can represent.
1001     ///
1002     /// ```
1003     /// use num_traits::Float;
1004     /// use std::f64;
1005     ///
1006     /// let x: f64 = Float::max_value();
1007     /// assert_eq!(x, f64::MAX);
1008     /// ```
max_value() -> Self1009     fn max_value() -> Self;
1010 
1011     /// Returns `true` if this value is `NaN` and false otherwise.
1012     ///
1013     /// ```
1014     /// use num_traits::Float;
1015     /// use std::f64;
1016     ///
1017     /// let nan = f64::NAN;
1018     /// let f = 7.0;
1019     ///
1020     /// assert!(nan.is_nan());
1021     /// assert!(!f.is_nan());
1022     /// ```
is_nan(self) -> bool1023     fn is_nan(self) -> bool;
1024 
1025     /// Returns `true` if this value is positive infinity or negative infinity and
1026     /// false otherwise.
1027     ///
1028     /// ```
1029     /// use num_traits::Float;
1030     /// use std::f32;
1031     ///
1032     /// let f = 7.0f32;
1033     /// let inf: f32 = Float::infinity();
1034     /// let neg_inf: f32 = Float::neg_infinity();
1035     /// let nan: f32 = f32::NAN;
1036     ///
1037     /// assert!(!f.is_infinite());
1038     /// assert!(!nan.is_infinite());
1039     ///
1040     /// assert!(inf.is_infinite());
1041     /// assert!(neg_inf.is_infinite());
1042     /// ```
is_infinite(self) -> bool1043     fn is_infinite(self) -> bool;
1044 
1045     /// Returns `true` if this number is neither infinite nor `NaN`.
1046     ///
1047     /// ```
1048     /// use num_traits::Float;
1049     /// use std::f32;
1050     ///
1051     /// let f = 7.0f32;
1052     /// let inf: f32 = Float::infinity();
1053     /// let neg_inf: f32 = Float::neg_infinity();
1054     /// let nan: f32 = f32::NAN;
1055     ///
1056     /// assert!(f.is_finite());
1057     ///
1058     /// assert!(!nan.is_finite());
1059     /// assert!(!inf.is_finite());
1060     /// assert!(!neg_inf.is_finite());
1061     /// ```
is_finite(self) -> bool1062     fn is_finite(self) -> bool;
1063 
1064     /// Returns `true` if the number is neither zero, infinite,
1065     /// [subnormal][subnormal], or `NaN`.
1066     ///
1067     /// ```
1068     /// use num_traits::Float;
1069     /// use std::f32;
1070     ///
1071     /// let min = f32::MIN_POSITIVE; // 1.17549435e-38f32
1072     /// let max = f32::MAX;
1073     /// let lower_than_min = 1.0e-40_f32;
1074     /// let zero = 0.0f32;
1075     ///
1076     /// assert!(min.is_normal());
1077     /// assert!(max.is_normal());
1078     ///
1079     /// assert!(!zero.is_normal());
1080     /// assert!(!f32::NAN.is_normal());
1081     /// assert!(!f32::INFINITY.is_normal());
1082     /// // Values between `0` and `min` are Subnormal.
1083     /// assert!(!lower_than_min.is_normal());
1084     /// ```
1085     /// [subnormal]: http://en.wikipedia.org/wiki/Denormal_number
is_normal(self) -> bool1086     fn is_normal(self) -> bool;
1087 
1088     /// Returns the floating point category of the number. If only one property
1089     /// is going to be tested, it is generally faster to use the specific
1090     /// predicate instead.
1091     ///
1092     /// ```
1093     /// use num_traits::Float;
1094     /// use std::num::FpCategory;
1095     /// use std::f32;
1096     ///
1097     /// let num = 12.4f32;
1098     /// let inf = f32::INFINITY;
1099     ///
1100     /// assert_eq!(num.classify(), FpCategory::Normal);
1101     /// assert_eq!(inf.classify(), FpCategory::Infinite);
1102     /// ```
classify(self) -> FpCategory1103     fn classify(self) -> FpCategory;
1104 
1105     /// Returns the largest integer less than or equal to a number.
1106     ///
1107     /// ```
1108     /// use num_traits::Float;
1109     ///
1110     /// let f = 3.99;
1111     /// let g = 3.0;
1112     ///
1113     /// assert_eq!(f.floor(), 3.0);
1114     /// assert_eq!(g.floor(), 3.0);
1115     /// ```
floor(self) -> Self1116     fn floor(self) -> Self;
1117 
1118     /// Returns the smallest integer greater than or equal to a number.
1119     ///
1120     /// ```
1121     /// use num_traits::Float;
1122     ///
1123     /// let f = 3.01;
1124     /// let g = 4.0;
1125     ///
1126     /// assert_eq!(f.ceil(), 4.0);
1127     /// assert_eq!(g.ceil(), 4.0);
1128     /// ```
ceil(self) -> Self1129     fn ceil(self) -> Self;
1130 
1131     /// Returns the nearest integer to a number. Round half-way cases away from
1132     /// `0.0`.
1133     ///
1134     /// ```
1135     /// use num_traits::Float;
1136     ///
1137     /// let f = 3.3;
1138     /// let g = -3.3;
1139     ///
1140     /// assert_eq!(f.round(), 3.0);
1141     /// assert_eq!(g.round(), -3.0);
1142     /// ```
round(self) -> Self1143     fn round(self) -> Self;
1144 
1145     /// Return the integer part of a number.
1146     ///
1147     /// ```
1148     /// use num_traits::Float;
1149     ///
1150     /// let f = 3.3;
1151     /// let g = -3.7;
1152     ///
1153     /// assert_eq!(f.trunc(), 3.0);
1154     /// assert_eq!(g.trunc(), -3.0);
1155     /// ```
trunc(self) -> Self1156     fn trunc(self) -> Self;
1157 
1158     /// Returns the fractional part of a number.
1159     ///
1160     /// ```
1161     /// use num_traits::Float;
1162     ///
1163     /// let x = 3.5;
1164     /// let y = -3.5;
1165     /// let abs_difference_x = (x.fract() - 0.5).abs();
1166     /// let abs_difference_y = (y.fract() - (-0.5)).abs();
1167     ///
1168     /// assert!(abs_difference_x < 1e-10);
1169     /// assert!(abs_difference_y < 1e-10);
1170     /// ```
fract(self) -> Self1171     fn fract(self) -> Self;
1172 
1173     /// Computes the absolute value of `self`. Returns `Float::nan()` if the
1174     /// number is `Float::nan()`.
1175     ///
1176     /// ```
1177     /// use num_traits::Float;
1178     /// use std::f64;
1179     ///
1180     /// let x = 3.5;
1181     /// let y = -3.5;
1182     ///
1183     /// let abs_difference_x = (x.abs() - x).abs();
1184     /// let abs_difference_y = (y.abs() - (-y)).abs();
1185     ///
1186     /// assert!(abs_difference_x < 1e-10);
1187     /// assert!(abs_difference_y < 1e-10);
1188     ///
1189     /// assert!(f64::NAN.abs().is_nan());
1190     /// ```
abs(self) -> Self1191     fn abs(self) -> Self;
1192 
1193     /// Returns a number that represents the sign of `self`.
1194     ///
1195     /// - `1.0` if the number is positive, `+0.0` or `Float::infinity()`
1196     /// - `-1.0` if the number is negative, `-0.0` or `Float::neg_infinity()`
1197     /// - `Float::nan()` if the number is `Float::nan()`
1198     ///
1199     /// ```
1200     /// use num_traits::Float;
1201     /// use std::f64;
1202     ///
1203     /// let f = 3.5;
1204     ///
1205     /// assert_eq!(f.signum(), 1.0);
1206     /// assert_eq!(f64::NEG_INFINITY.signum(), -1.0);
1207     ///
1208     /// assert!(f64::NAN.signum().is_nan());
1209     /// ```
signum(self) -> Self1210     fn signum(self) -> Self;
1211 
1212     /// Returns `true` if `self` is positive, including `+0.0`,
1213     /// `Float::infinity()`, and since Rust 1.20 also `Float::nan()`.
1214     ///
1215     /// ```
1216     /// use num_traits::Float;
1217     /// use std::f64;
1218     ///
1219     /// let neg_nan: f64 = -f64::NAN;
1220     ///
1221     /// let f = 7.0;
1222     /// let g = -7.0;
1223     ///
1224     /// assert!(f.is_sign_positive());
1225     /// assert!(!g.is_sign_positive());
1226     /// assert!(!neg_nan.is_sign_positive());
1227     /// ```
is_sign_positive(self) -> bool1228     fn is_sign_positive(self) -> bool;
1229 
1230     /// Returns `true` if `self` is negative, including `-0.0`,
1231     /// `Float::neg_infinity()`, and since Rust 1.20 also `-Float::nan()`.
1232     ///
1233     /// ```
1234     /// use num_traits::Float;
1235     /// use std::f64;
1236     ///
1237     /// let nan: f64 = f64::NAN;
1238     ///
1239     /// let f = 7.0;
1240     /// let g = -7.0;
1241     ///
1242     /// assert!(!f.is_sign_negative());
1243     /// assert!(g.is_sign_negative());
1244     /// assert!(!nan.is_sign_negative());
1245     /// ```
is_sign_negative(self) -> bool1246     fn is_sign_negative(self) -> bool;
1247 
1248     /// Fused multiply-add. Computes `(self * a) + b` with only one rounding
1249     /// error, yielding a more accurate result than an unfused multiply-add.
1250     ///
1251     /// Using `mul_add` can be more performant than an unfused multiply-add if
1252     /// the target architecture has a dedicated `fma` CPU instruction.
1253     ///
1254     /// ```
1255     /// use num_traits::Float;
1256     ///
1257     /// let m = 10.0;
1258     /// let x = 4.0;
1259     /// let b = 60.0;
1260     ///
1261     /// // 100.0
1262     /// let abs_difference = (m.mul_add(x, b) - (m*x + b)).abs();
1263     ///
1264     /// assert!(abs_difference < 1e-10);
1265     /// ```
mul_add(self, a: Self, b: Self) -> Self1266     fn mul_add(self, a: Self, b: Self) -> Self;
1267     /// Take the reciprocal (inverse) of a number, `1/x`.
1268     ///
1269     /// ```
1270     /// use num_traits::Float;
1271     ///
1272     /// let x = 2.0;
1273     /// let abs_difference = (x.recip() - (1.0/x)).abs();
1274     ///
1275     /// assert!(abs_difference < 1e-10);
1276     /// ```
recip(self) -> Self1277     fn recip(self) -> Self;
1278 
1279     /// Raise a number to an integer power.
1280     ///
1281     /// Using this function is generally faster than using `powf`
1282     ///
1283     /// ```
1284     /// use num_traits::Float;
1285     ///
1286     /// let x = 2.0;
1287     /// let abs_difference = (x.powi(2) - x*x).abs();
1288     ///
1289     /// assert!(abs_difference < 1e-10);
1290     /// ```
powi(self, n: i32) -> Self1291     fn powi(self, n: i32) -> Self;
1292 
1293     /// Raise a number to a floating point power.
1294     ///
1295     /// ```
1296     /// use num_traits::Float;
1297     ///
1298     /// let x = 2.0;
1299     /// let abs_difference = (x.powf(2.0) - x*x).abs();
1300     ///
1301     /// assert!(abs_difference < 1e-10);
1302     /// ```
powf(self, n: Self) -> Self1303     fn powf(self, n: Self) -> Self;
1304 
1305     /// Take the square root of a number.
1306     ///
1307     /// Returns NaN if `self` is a negative number.
1308     ///
1309     /// ```
1310     /// use num_traits::Float;
1311     ///
1312     /// let positive = 4.0;
1313     /// let negative = -4.0;
1314     ///
1315     /// let abs_difference = (positive.sqrt() - 2.0).abs();
1316     ///
1317     /// assert!(abs_difference < 1e-10);
1318     /// assert!(negative.sqrt().is_nan());
1319     /// ```
sqrt(self) -> Self1320     fn sqrt(self) -> Self;
1321 
1322     /// Returns `e^(self)`, (the exponential function).
1323     ///
1324     /// ```
1325     /// use num_traits::Float;
1326     ///
1327     /// let one = 1.0;
1328     /// // e^1
1329     /// let e = one.exp();
1330     ///
1331     /// // ln(e) - 1 == 0
1332     /// let abs_difference = (e.ln() - 1.0).abs();
1333     ///
1334     /// assert!(abs_difference < 1e-10);
1335     /// ```
exp(self) -> Self1336     fn exp(self) -> Self;
1337 
1338     /// Returns `2^(self)`.
1339     ///
1340     /// ```
1341     /// use num_traits::Float;
1342     ///
1343     /// let f = 2.0;
1344     ///
1345     /// // 2^2 - 4 == 0
1346     /// let abs_difference = (f.exp2() - 4.0).abs();
1347     ///
1348     /// assert!(abs_difference < 1e-10);
1349     /// ```
exp2(self) -> Self1350     fn exp2(self) -> Self;
1351 
1352     /// Returns the natural logarithm of the number.
1353     ///
1354     /// ```
1355     /// use num_traits::Float;
1356     ///
1357     /// let one = 1.0;
1358     /// // e^1
1359     /// let e = one.exp();
1360     ///
1361     /// // ln(e) - 1 == 0
1362     /// let abs_difference = (e.ln() - 1.0).abs();
1363     ///
1364     /// assert!(abs_difference < 1e-10);
1365     /// ```
ln(self) -> Self1366     fn ln(self) -> Self;
1367 
1368     /// Returns the logarithm of the number with respect to an arbitrary base.
1369     ///
1370     /// ```
1371     /// use num_traits::Float;
1372     ///
1373     /// let ten = 10.0;
1374     /// let two = 2.0;
1375     ///
1376     /// // log10(10) - 1 == 0
1377     /// let abs_difference_10 = (ten.log(10.0) - 1.0).abs();
1378     ///
1379     /// // log2(2) - 1 == 0
1380     /// let abs_difference_2 = (two.log(2.0) - 1.0).abs();
1381     ///
1382     /// assert!(abs_difference_10 < 1e-10);
1383     /// assert!(abs_difference_2 < 1e-10);
1384     /// ```
log(self, base: Self) -> Self1385     fn log(self, base: Self) -> Self;
1386 
1387     /// Returns the base 2 logarithm of the number.
1388     ///
1389     /// ```
1390     /// use num_traits::Float;
1391     ///
1392     /// let two = 2.0;
1393     ///
1394     /// // log2(2) - 1 == 0
1395     /// let abs_difference = (two.log2() - 1.0).abs();
1396     ///
1397     /// assert!(abs_difference < 1e-10);
1398     /// ```
log2(self) -> Self1399     fn log2(self) -> Self;
1400 
1401     /// Returns the base 10 logarithm of the number.
1402     ///
1403     /// ```
1404     /// use num_traits::Float;
1405     ///
1406     /// let ten = 10.0;
1407     ///
1408     /// // log10(10) - 1 == 0
1409     /// let abs_difference = (ten.log10() - 1.0).abs();
1410     ///
1411     /// assert!(abs_difference < 1e-10);
1412     /// ```
log10(self) -> Self1413     fn log10(self) -> Self;
1414 
1415     /// Converts radians to degrees.
1416     ///
1417     /// ```
1418     /// use std::f64::consts;
1419     ///
1420     /// let angle = consts::PI;
1421     ///
1422     /// let abs_difference = (angle.to_degrees() - 180.0).abs();
1423     ///
1424     /// assert!(abs_difference < 1e-10);
1425     /// ```
1426     #[inline]
to_degrees(self) -> Self1427     fn to_degrees(self) -> Self {
1428         let halfpi = Self::zero().acos();
1429         let ninety = Self::from(90u8).unwrap();
1430         self * ninety / halfpi
1431     }
1432 
1433     /// Converts degrees to radians.
1434     ///
1435     /// ```
1436     /// use std::f64::consts;
1437     ///
1438     /// let angle = 180.0_f64;
1439     ///
1440     /// let abs_difference = (angle.to_radians() - consts::PI).abs();
1441     ///
1442     /// assert!(abs_difference < 1e-10);
1443     /// ```
1444     #[inline]
to_radians(self) -> Self1445     fn to_radians(self) -> Self {
1446         let halfpi = Self::zero().acos();
1447         let ninety = Self::from(90u8).unwrap();
1448         self * halfpi / ninety
1449     }
1450 
1451     /// Returns the maximum of the two numbers.
1452     ///
1453     /// ```
1454     /// use num_traits::Float;
1455     ///
1456     /// let x = 1.0;
1457     /// let y = 2.0;
1458     ///
1459     /// assert_eq!(x.max(y), y);
1460     /// ```
max(self, other: Self) -> Self1461     fn max(self, other: Self) -> Self;
1462 
1463     /// Returns the minimum of the two numbers.
1464     ///
1465     /// ```
1466     /// use num_traits::Float;
1467     ///
1468     /// let x = 1.0;
1469     /// let y = 2.0;
1470     ///
1471     /// assert_eq!(x.min(y), x);
1472     /// ```
min(self, other: Self) -> Self1473     fn min(self, other: Self) -> Self;
1474 
1475     /// The positive difference of two numbers.
1476     ///
1477     /// * If `self <= other`: `0:0`
1478     /// * Else: `self - other`
1479     ///
1480     /// ```
1481     /// use num_traits::Float;
1482     ///
1483     /// let x = 3.0;
1484     /// let y = -3.0;
1485     ///
1486     /// let abs_difference_x = (x.abs_sub(1.0) - 2.0).abs();
1487     /// let abs_difference_y = (y.abs_sub(1.0) - 0.0).abs();
1488     ///
1489     /// assert!(abs_difference_x < 1e-10);
1490     /// assert!(abs_difference_y < 1e-10);
1491     /// ```
abs_sub(self, other: Self) -> Self1492     fn abs_sub(self, other: Self) -> Self;
1493 
1494     /// Take the cubic root of a number.
1495     ///
1496     /// ```
1497     /// use num_traits::Float;
1498     ///
1499     /// let x = 8.0;
1500     ///
1501     /// // x^(1/3) - 2 == 0
1502     /// let abs_difference = (x.cbrt() - 2.0).abs();
1503     ///
1504     /// assert!(abs_difference < 1e-10);
1505     /// ```
cbrt(self) -> Self1506     fn cbrt(self) -> Self;
1507 
1508     /// Calculate the length of the hypotenuse of a right-angle triangle given
1509     /// legs of length `x` and `y`.
1510     ///
1511     /// ```
1512     /// use num_traits::Float;
1513     ///
1514     /// let x = 2.0;
1515     /// let y = 3.0;
1516     ///
1517     /// // sqrt(x^2 + y^2)
1518     /// let abs_difference = (x.hypot(y) - (x.powi(2) + y.powi(2)).sqrt()).abs();
1519     ///
1520     /// assert!(abs_difference < 1e-10);
1521     /// ```
hypot(self, other: Self) -> Self1522     fn hypot(self, other: Self) -> Self;
1523 
1524     /// Computes the sine of a number (in radians).
1525     ///
1526     /// ```
1527     /// use num_traits::Float;
1528     /// use std::f64;
1529     ///
1530     /// let x = f64::consts::PI/2.0;
1531     ///
1532     /// let abs_difference = (x.sin() - 1.0).abs();
1533     ///
1534     /// assert!(abs_difference < 1e-10);
1535     /// ```
sin(self) -> Self1536     fn sin(self) -> Self;
1537 
1538     /// Computes the cosine of a number (in radians).
1539     ///
1540     /// ```
1541     /// use num_traits::Float;
1542     /// use std::f64;
1543     ///
1544     /// let x = 2.0*f64::consts::PI;
1545     ///
1546     /// let abs_difference = (x.cos() - 1.0).abs();
1547     ///
1548     /// assert!(abs_difference < 1e-10);
1549     /// ```
cos(self) -> Self1550     fn cos(self) -> Self;
1551 
1552     /// Computes the tangent of a number (in radians).
1553     ///
1554     /// ```
1555     /// use num_traits::Float;
1556     /// use std::f64;
1557     ///
1558     /// let x = f64::consts::PI/4.0;
1559     /// let abs_difference = (x.tan() - 1.0).abs();
1560     ///
1561     /// assert!(abs_difference < 1e-14);
1562     /// ```
tan(self) -> Self1563     fn tan(self) -> Self;
1564 
1565     /// Computes the arcsine of a number. Return value is in radians in
1566     /// the range [-pi/2, pi/2] or NaN if the number is outside the range
1567     /// [-1, 1].
1568     ///
1569     /// ```
1570     /// use num_traits::Float;
1571     /// use std::f64;
1572     ///
1573     /// let f = f64::consts::PI / 2.0;
1574     ///
1575     /// // asin(sin(pi/2))
1576     /// let abs_difference = (f.sin().asin() - f64::consts::PI / 2.0).abs();
1577     ///
1578     /// assert!(abs_difference < 1e-10);
1579     /// ```
asin(self) -> Self1580     fn asin(self) -> Self;
1581 
1582     /// Computes the arccosine of a number. Return value is in radians in
1583     /// the range [0, pi] or NaN if the number is outside the range
1584     /// [-1, 1].
1585     ///
1586     /// ```
1587     /// use num_traits::Float;
1588     /// use std::f64;
1589     ///
1590     /// let f = f64::consts::PI / 4.0;
1591     ///
1592     /// // acos(cos(pi/4))
1593     /// let abs_difference = (f.cos().acos() - f64::consts::PI / 4.0).abs();
1594     ///
1595     /// assert!(abs_difference < 1e-10);
1596     /// ```
acos(self) -> Self1597     fn acos(self) -> Self;
1598 
1599     /// Computes the arctangent of a number. Return value is in radians in the
1600     /// range [-pi/2, pi/2];
1601     ///
1602     /// ```
1603     /// use num_traits::Float;
1604     ///
1605     /// let f = 1.0;
1606     ///
1607     /// // atan(tan(1))
1608     /// let abs_difference = (f.tan().atan() - 1.0).abs();
1609     ///
1610     /// assert!(abs_difference < 1e-10);
1611     /// ```
atan(self) -> Self1612     fn atan(self) -> Self;
1613 
1614     /// Computes the four quadrant arctangent of `self` (`y`) and `other` (`x`).
1615     ///
1616     /// * `x = 0`, `y = 0`: `0`
1617     /// * `x >= 0`: `arctan(y/x)` -> `[-pi/2, pi/2]`
1618     /// * `y >= 0`: `arctan(y/x) + pi` -> `(pi/2, pi]`
1619     /// * `y < 0`: `arctan(y/x) - pi` -> `(-pi, -pi/2)`
1620     ///
1621     /// ```
1622     /// use num_traits::Float;
1623     /// use std::f64;
1624     ///
1625     /// let pi = f64::consts::PI;
1626     /// // All angles from horizontal right (+x)
1627     /// // 45 deg counter-clockwise
1628     /// let x1 = 3.0;
1629     /// let y1 = -3.0;
1630     ///
1631     /// // 135 deg clockwise
1632     /// let x2 = -3.0;
1633     /// let y2 = 3.0;
1634     ///
1635     /// let abs_difference_1 = (y1.atan2(x1) - (-pi/4.0)).abs();
1636     /// let abs_difference_2 = (y2.atan2(x2) - 3.0*pi/4.0).abs();
1637     ///
1638     /// assert!(abs_difference_1 < 1e-10);
1639     /// assert!(abs_difference_2 < 1e-10);
1640     /// ```
atan2(self, other: Self) -> Self1641     fn atan2(self, other: Self) -> Self;
1642 
1643     /// Simultaneously computes the sine and cosine of the number, `x`. Returns
1644     /// `(sin(x), cos(x))`.
1645     ///
1646     /// ```
1647     /// use num_traits::Float;
1648     /// use std::f64;
1649     ///
1650     /// let x = f64::consts::PI/4.0;
1651     /// let f = x.sin_cos();
1652     ///
1653     /// let abs_difference_0 = (f.0 - x.sin()).abs();
1654     /// let abs_difference_1 = (f.1 - x.cos()).abs();
1655     ///
1656     /// assert!(abs_difference_0 < 1e-10);
1657     /// assert!(abs_difference_0 < 1e-10);
1658     /// ```
sin_cos(self) -> (Self, Self)1659     fn sin_cos(self) -> (Self, Self);
1660 
1661     /// Returns `e^(self) - 1` in a way that is accurate even if the
1662     /// number is close to zero.
1663     ///
1664     /// ```
1665     /// use num_traits::Float;
1666     ///
1667     /// let x = 7.0;
1668     ///
1669     /// // e^(ln(7)) - 1
1670     /// let abs_difference = (x.ln().exp_m1() - 6.0).abs();
1671     ///
1672     /// assert!(abs_difference < 1e-10);
1673     /// ```
exp_m1(self) -> Self1674     fn exp_m1(self) -> Self;
1675 
1676     /// Returns `ln(1+n)` (natural logarithm) more accurately than if
1677     /// the operations were performed separately.
1678     ///
1679     /// ```
1680     /// use num_traits::Float;
1681     /// use std::f64;
1682     ///
1683     /// let x = f64::consts::E - 1.0;
1684     ///
1685     /// // ln(1 + (e - 1)) == ln(e) == 1
1686     /// let abs_difference = (x.ln_1p() - 1.0).abs();
1687     ///
1688     /// assert!(abs_difference < 1e-10);
1689     /// ```
ln_1p(self) -> Self1690     fn ln_1p(self) -> Self;
1691 
1692     /// Hyperbolic sine function.
1693     ///
1694     /// ```
1695     /// use num_traits::Float;
1696     /// use std::f64;
1697     ///
1698     /// let e = f64::consts::E;
1699     /// let x = 1.0;
1700     ///
1701     /// let f = x.sinh();
1702     /// // Solving sinh() at 1 gives `(e^2-1)/(2e)`
1703     /// let g = (e*e - 1.0)/(2.0*e);
1704     /// let abs_difference = (f - g).abs();
1705     ///
1706     /// assert!(abs_difference < 1e-10);
1707     /// ```
sinh(self) -> Self1708     fn sinh(self) -> Self;
1709 
1710     /// Hyperbolic cosine function.
1711     ///
1712     /// ```
1713     /// use num_traits::Float;
1714     /// use std::f64;
1715     ///
1716     /// let e = f64::consts::E;
1717     /// let x = 1.0;
1718     /// let f = x.cosh();
1719     /// // Solving cosh() at 1 gives this result
1720     /// let g = (e*e + 1.0)/(2.0*e);
1721     /// let abs_difference = (f - g).abs();
1722     ///
1723     /// // Same result
1724     /// assert!(abs_difference < 1.0e-10);
1725     /// ```
cosh(self) -> Self1726     fn cosh(self) -> Self;
1727 
1728     /// Hyperbolic tangent function.
1729     ///
1730     /// ```
1731     /// use num_traits::Float;
1732     /// use std::f64;
1733     ///
1734     /// let e = f64::consts::E;
1735     /// let x = 1.0;
1736     ///
1737     /// let f = x.tanh();
1738     /// // Solving tanh() at 1 gives `(1 - e^(-2))/(1 + e^(-2))`
1739     /// let g = (1.0 - e.powi(-2))/(1.0 + e.powi(-2));
1740     /// let abs_difference = (f - g).abs();
1741     ///
1742     /// assert!(abs_difference < 1.0e-10);
1743     /// ```
tanh(self) -> Self1744     fn tanh(self) -> Self;
1745 
1746     /// Inverse hyperbolic sine function.
1747     ///
1748     /// ```
1749     /// use num_traits::Float;
1750     ///
1751     /// let x = 1.0;
1752     /// let f = x.sinh().asinh();
1753     ///
1754     /// let abs_difference = (f - x).abs();
1755     ///
1756     /// assert!(abs_difference < 1.0e-10);
1757     /// ```
asinh(self) -> Self1758     fn asinh(self) -> Self;
1759 
1760     /// Inverse hyperbolic cosine function.
1761     ///
1762     /// ```
1763     /// use num_traits::Float;
1764     ///
1765     /// let x = 1.0;
1766     /// let f = x.cosh().acosh();
1767     ///
1768     /// let abs_difference = (f - x).abs();
1769     ///
1770     /// assert!(abs_difference < 1.0e-10);
1771     /// ```
acosh(self) -> Self1772     fn acosh(self) -> Self;
1773 
1774     /// Inverse hyperbolic tangent function.
1775     ///
1776     /// ```
1777     /// use num_traits::Float;
1778     /// use std::f64;
1779     ///
1780     /// let e = f64::consts::E;
1781     /// let f = e.tanh().atanh();
1782     ///
1783     /// let abs_difference = (f - e).abs();
1784     ///
1785     /// assert!(abs_difference < 1.0e-10);
1786     /// ```
atanh(self) -> Self1787     fn atanh(self) -> Self;
1788 
1789     /// Returns the mantissa, base 2 exponent, and sign as integers, respectively.
1790     /// The original number can be recovered by `sign * mantissa * 2 ^ exponent`.
1791     ///
1792     /// ```
1793     /// use num_traits::Float;
1794     ///
1795     /// let num = 2.0f32;
1796     ///
1797     /// // (8388608, -22, 1)
1798     /// let (mantissa, exponent, sign) = Float::integer_decode(num);
1799     /// let sign_f = sign as f32;
1800     /// let mantissa_f = mantissa as f32;
1801     /// let exponent_f = num.powf(exponent as f32);
1802     ///
1803     /// // 1 * 8388608 * 2^(-22) == 2
1804     /// let abs_difference = (sign_f * mantissa_f * exponent_f - num).abs();
1805     ///
1806     /// assert!(abs_difference < 1e-10);
1807     /// ```
integer_decode(self) -> (u64, i16, i8)1808     fn integer_decode(self) -> (u64, i16, i8);
1809 }
1810 
1811 #[cfg(feature = "std")]
1812 macro_rules! float_impl_std {
1813     ($T:ident $decode:ident) => {
1814         impl Float for $T {
1815             constant! {
1816                 nan() -> $T::NAN;
1817                 infinity() -> $T::INFINITY;
1818                 neg_infinity() -> $T::NEG_INFINITY;
1819                 neg_zero() -> -0.0;
1820                 min_value() -> $T::MIN;
1821                 min_positive_value() -> $T::MIN_POSITIVE;
1822                 epsilon() -> $T::EPSILON;
1823                 max_value() -> $T::MAX;
1824             }
1825 
1826             #[inline]
1827             #[allow(deprecated)]
1828             fn abs_sub(self, other: Self) -> Self {
1829                 <$T>::abs_sub(self, other)
1830             }
1831 
1832             #[inline]
1833             fn integer_decode(self) -> (u64, i16, i8) {
1834                 $decode(self)
1835             }
1836 
1837             forward! {
1838                 Self::is_nan(self) -> bool;
1839                 Self::is_infinite(self) -> bool;
1840                 Self::is_finite(self) -> bool;
1841                 Self::is_normal(self) -> bool;
1842                 Self::classify(self) -> FpCategory;
1843                 Self::floor(self) -> Self;
1844                 Self::ceil(self) -> Self;
1845                 Self::round(self) -> Self;
1846                 Self::trunc(self) -> Self;
1847                 Self::fract(self) -> Self;
1848                 Self::abs(self) -> Self;
1849                 Self::signum(self) -> Self;
1850                 Self::is_sign_positive(self) -> bool;
1851                 Self::is_sign_negative(self) -> bool;
1852                 Self::mul_add(self, a: Self, b: Self) -> Self;
1853                 Self::recip(self) -> Self;
1854                 Self::powi(self, n: i32) -> Self;
1855                 Self::powf(self, n: Self) -> Self;
1856                 Self::sqrt(self) -> Self;
1857                 Self::exp(self) -> Self;
1858                 Self::exp2(self) -> Self;
1859                 Self::ln(self) -> Self;
1860                 Self::log(self, base: Self) -> Self;
1861                 Self::log2(self) -> Self;
1862                 Self::log10(self) -> Self;
1863                 Self::to_degrees(self) -> Self;
1864                 Self::to_radians(self) -> Self;
1865                 Self::max(self, other: Self) -> Self;
1866                 Self::min(self, other: Self) -> Self;
1867                 Self::cbrt(self) -> Self;
1868                 Self::hypot(self, other: Self) -> Self;
1869                 Self::sin(self) -> Self;
1870                 Self::cos(self) -> Self;
1871                 Self::tan(self) -> Self;
1872                 Self::asin(self) -> Self;
1873                 Self::acos(self) -> Self;
1874                 Self::atan(self) -> Self;
1875                 Self::atan2(self, other: Self) -> Self;
1876                 Self::sin_cos(self) -> (Self, Self);
1877                 Self::exp_m1(self) -> Self;
1878                 Self::ln_1p(self) -> Self;
1879                 Self::sinh(self) -> Self;
1880                 Self::cosh(self) -> Self;
1881                 Self::tanh(self) -> Self;
1882                 Self::asinh(self) -> Self;
1883                 Self::acosh(self) -> Self;
1884                 Self::atanh(self) -> Self;
1885             }
1886         }
1887     };
1888 }
1889 
1890 #[cfg(all(not(feature = "std"), feature = "libm"))]
1891 macro_rules! float_impl_libm {
1892     ($T:ident $decode:ident) => {
1893         constant! {
1894             nan() -> $T::NAN;
1895             infinity() -> $T::INFINITY;
1896             neg_infinity() -> $T::NEG_INFINITY;
1897             neg_zero() -> -0.0;
1898             min_value() -> $T::MIN;
1899             min_positive_value() -> $T::MIN_POSITIVE;
1900             epsilon() -> $T::EPSILON;
1901             max_value() -> $T::MAX;
1902         }
1903 
1904         #[inline]
1905         fn integer_decode(self) -> (u64, i16, i8) {
1906             $decode(self)
1907         }
1908 
1909         #[inline]
1910         fn fract(self) -> Self {
1911             self - FloatCore::trunc(self)
1912         }
1913 
1914         #[inline]
1915         fn log(self, base: Self) -> Self {
1916             self.ln() / base.ln()
1917         }
1918 
1919         forward! {
1920             FloatCore::is_nan(self) -> bool;
1921             FloatCore::is_infinite(self) -> bool;
1922             FloatCore::is_finite(self) -> bool;
1923             FloatCore::is_normal(self) -> bool;
1924             FloatCore::classify(self) -> FpCategory;
1925             FloatCore::signum(self) -> Self;
1926             FloatCore::is_sign_positive(self) -> bool;
1927             FloatCore::is_sign_negative(self) -> bool;
1928             FloatCore::recip(self) -> Self;
1929             FloatCore::powi(self, n: i32) -> Self;
1930             FloatCore::to_degrees(self) -> Self;
1931             FloatCore::to_radians(self) -> Self;
1932             FloatCore::max(self, other: Self) -> Self;
1933             FloatCore::min(self, other: Self) -> Self;
1934         }
1935     };
1936 }
1937 
integer_decode_f32(f: f32) -> (u64, i16, i8)1938 fn integer_decode_f32(f: f32) -> (u64, i16, i8) {
1939     // Safety: this identical to the implementation of f32::to_bits(),
1940     // which is only available starting at Rust 1.20
1941     let bits: u32 = unsafe { mem::transmute(f) };
1942     let sign: i8 = if bits >> 31 == 0 { 1 } else { -1 };
1943     let mut exponent: i16 = ((bits >> 23) & 0xff) as i16;
1944     let mantissa = if exponent == 0 {
1945         (bits & 0x7fffff) << 1
1946     } else {
1947         (bits & 0x7fffff) | 0x800000
1948     };
1949     // Exponent bias + mantissa shift
1950     exponent -= 127 + 23;
1951     (mantissa as u64, exponent, sign)
1952 }
1953 
integer_decode_f64(f: f64) -> (u64, i16, i8)1954 fn integer_decode_f64(f: f64) -> (u64, i16, i8) {
1955     // Safety: this identical to the implementation of f64::to_bits(),
1956     // which is only available starting at Rust 1.20
1957     let bits: u64 = unsafe { mem::transmute(f) };
1958     let sign: i8 = if bits >> 63 == 0 { 1 } else { -1 };
1959     let mut exponent: i16 = ((bits >> 52) & 0x7ff) as i16;
1960     let mantissa = if exponent == 0 {
1961         (bits & 0xfffffffffffff) << 1
1962     } else {
1963         (bits & 0xfffffffffffff) | 0x10000000000000
1964     };
1965     // Exponent bias + mantissa shift
1966     exponent -= 1023 + 52;
1967     (mantissa, exponent, sign)
1968 }
1969 
1970 #[cfg(feature = "std")]
1971 float_impl_std!(f32 integer_decode_f32);
1972 #[cfg(feature = "std")]
1973 float_impl_std!(f64 integer_decode_f64);
1974 
1975 #[cfg(all(not(feature = "std"), feature = "libm"))]
1976 impl Float for f32 {
1977     float_impl_libm!(f32 integer_decode_f32);
1978 
1979     #[inline]
1980     #[allow(deprecated)]
abs_sub(self, other: Self) -> Self1981     fn abs_sub(self, other: Self) -> Self {
1982         libm::fdimf(self, other)
1983     }
1984     #[inline]
floor(self) -> Self1985     fn floor(self) -> Self {
1986         libm::floorf(self)
1987     }
1988     #[inline]
ceil(self) -> Self1989     fn ceil(self) -> Self {
1990         libm::ceilf(self)
1991     }
1992     #[inline]
round(self) -> Self1993     fn round(self) -> Self {
1994         libm::roundf(self)
1995     }
1996     #[inline]
trunc(self) -> Self1997     fn trunc(self) -> Self {
1998         libm::truncf(self)
1999     }
2000     #[inline]
abs(self) -> Self2001     fn abs(self) -> Self {
2002         libm::fabsf(self)
2003     }
2004     #[inline]
mul_add(self, a: Self, b: Self) -> Self2005     fn mul_add(self, a: Self, b: Self) -> Self {
2006         libm::fmaf(self, a, b)
2007     }
2008     #[inline]
powf(self, n: Self) -> Self2009     fn powf(self, n: Self) -> Self {
2010         libm::powf(self, n)
2011     }
2012     #[inline]
sqrt(self) -> Self2013     fn sqrt(self) -> Self {
2014         libm::sqrtf(self)
2015     }
2016     #[inline]
exp(self) -> Self2017     fn exp(self) -> Self {
2018         libm::expf(self)
2019     }
2020     #[inline]
exp2(self) -> Self2021     fn exp2(self) -> Self {
2022         libm::exp2f(self)
2023     }
2024     #[inline]
ln(self) -> Self2025     fn ln(self) -> Self {
2026         libm::logf(self)
2027     }
2028     #[inline]
log2(self) -> Self2029     fn log2(self) -> Self {
2030         libm::log2f(self)
2031     }
2032     #[inline]
log10(self) -> Self2033     fn log10(self) -> Self {
2034         libm::log10f(self)
2035     }
2036     #[inline]
cbrt(self) -> Self2037     fn cbrt(self) -> Self {
2038         libm::cbrtf(self)
2039     }
2040     #[inline]
hypot(self, other: Self) -> Self2041     fn hypot(self, other: Self) -> Self {
2042         libm::hypotf(self, other)
2043     }
2044     #[inline]
sin(self) -> Self2045     fn sin(self) -> Self {
2046         libm::sinf(self)
2047     }
2048     #[inline]
cos(self) -> Self2049     fn cos(self) -> Self {
2050         libm::cosf(self)
2051     }
2052     #[inline]
tan(self) -> Self2053     fn tan(self) -> Self {
2054         libm::tanf(self)
2055     }
2056     #[inline]
asin(self) -> Self2057     fn asin(self) -> Self {
2058         libm::asinf(self)
2059     }
2060     #[inline]
acos(self) -> Self2061     fn acos(self) -> Self {
2062         libm::acosf(self)
2063     }
2064     #[inline]
atan(self) -> Self2065     fn atan(self) -> Self {
2066         libm::atanf(self)
2067     }
2068     #[inline]
atan2(self, other: Self) -> Self2069     fn atan2(self, other: Self) -> Self {
2070         libm::atan2f(self, other)
2071     }
2072     #[inline]
sin_cos(self) -> (Self, Self)2073     fn sin_cos(self) -> (Self, Self) {
2074         libm::sincosf(self)
2075     }
2076     #[inline]
exp_m1(self) -> Self2077     fn exp_m1(self) -> Self {
2078         libm::expm1f(self)
2079     }
2080     #[inline]
ln_1p(self) -> Self2081     fn ln_1p(self) -> Self {
2082         libm::log1pf(self)
2083     }
2084     #[inline]
sinh(self) -> Self2085     fn sinh(self) -> Self {
2086         libm::sinhf(self)
2087     }
2088     #[inline]
cosh(self) -> Self2089     fn cosh(self) -> Self {
2090         libm::coshf(self)
2091     }
2092     #[inline]
tanh(self) -> Self2093     fn tanh(self) -> Self {
2094         libm::tanhf(self)
2095     }
2096     #[inline]
asinh(self) -> Self2097     fn asinh(self) -> Self {
2098         libm::asinhf(self)
2099     }
2100     #[inline]
acosh(self) -> Self2101     fn acosh(self) -> Self {
2102         libm::acoshf(self)
2103     }
2104     #[inline]
atanh(self) -> Self2105     fn atanh(self) -> Self {
2106         libm::atanhf(self)
2107     }
2108 }
2109 
2110 #[cfg(all(not(feature = "std"), feature = "libm"))]
2111 impl Float for f64 {
2112     float_impl_libm!(f64 integer_decode_f64);
2113 
2114     #[inline]
2115     #[allow(deprecated)]
abs_sub(self, other: Self) -> Self2116     fn abs_sub(self, other: Self) -> Self {
2117         libm::fdim(self, other)
2118     }
2119     #[inline]
floor(self) -> Self2120     fn floor(self) -> Self {
2121         libm::floor(self)
2122     }
2123     #[inline]
ceil(self) -> Self2124     fn ceil(self) -> Self {
2125         libm::ceil(self)
2126     }
2127     #[inline]
round(self) -> Self2128     fn round(self) -> Self {
2129         libm::round(self)
2130     }
2131     #[inline]
trunc(self) -> Self2132     fn trunc(self) -> Self {
2133         libm::trunc(self)
2134     }
2135     #[inline]
abs(self) -> Self2136     fn abs(self) -> Self {
2137         libm::fabs(self)
2138     }
2139     #[inline]
mul_add(self, a: Self, b: Self) -> Self2140     fn mul_add(self, a: Self, b: Self) -> Self {
2141         libm::fma(self, a, b)
2142     }
2143     #[inline]
powf(self, n: Self) -> Self2144     fn powf(self, n: Self) -> Self {
2145         libm::pow(self, n)
2146     }
2147     #[inline]
sqrt(self) -> Self2148     fn sqrt(self) -> Self {
2149         libm::sqrt(self)
2150     }
2151     #[inline]
exp(self) -> Self2152     fn exp(self) -> Self {
2153         libm::exp(self)
2154     }
2155     #[inline]
exp2(self) -> Self2156     fn exp2(self) -> Self {
2157         libm::exp2(self)
2158     }
2159     #[inline]
ln(self) -> Self2160     fn ln(self) -> Self {
2161         libm::log(self)
2162     }
2163     #[inline]
log2(self) -> Self2164     fn log2(self) -> Self {
2165         libm::log2(self)
2166     }
2167     #[inline]
log10(self) -> Self2168     fn log10(self) -> Self {
2169         libm::log10(self)
2170     }
2171     #[inline]
cbrt(self) -> Self2172     fn cbrt(self) -> Self {
2173         libm::cbrt(self)
2174     }
2175     #[inline]
hypot(self, other: Self) -> Self2176     fn hypot(self, other: Self) -> Self {
2177         libm::hypot(self, other)
2178     }
2179     #[inline]
sin(self) -> Self2180     fn sin(self) -> Self {
2181         libm::sin(self)
2182     }
2183     #[inline]
cos(self) -> Self2184     fn cos(self) -> Self {
2185         libm::cos(self)
2186     }
2187     #[inline]
tan(self) -> Self2188     fn tan(self) -> Self {
2189         libm::tan(self)
2190     }
2191     #[inline]
asin(self) -> Self2192     fn asin(self) -> Self {
2193         libm::asin(self)
2194     }
2195     #[inline]
acos(self) -> Self2196     fn acos(self) -> Self {
2197         libm::acos(self)
2198     }
2199     #[inline]
atan(self) -> Self2200     fn atan(self) -> Self {
2201         libm::atan(self)
2202     }
2203     #[inline]
atan2(self, other: Self) -> Self2204     fn atan2(self, other: Self) -> Self {
2205         libm::atan2(self, other)
2206     }
2207     #[inline]
sin_cos(self) -> (Self, Self)2208     fn sin_cos(self) -> (Self, Self) {
2209         libm::sincos(self)
2210     }
2211     #[inline]
exp_m1(self) -> Self2212     fn exp_m1(self) -> Self {
2213         libm::expm1(self)
2214     }
2215     #[inline]
ln_1p(self) -> Self2216     fn ln_1p(self) -> Self {
2217         libm::log1p(self)
2218     }
2219     #[inline]
sinh(self) -> Self2220     fn sinh(self) -> Self {
2221         libm::sinh(self)
2222     }
2223     #[inline]
cosh(self) -> Self2224     fn cosh(self) -> Self {
2225         libm::cosh(self)
2226     }
2227     #[inline]
tanh(self) -> Self2228     fn tanh(self) -> Self {
2229         libm::tanh(self)
2230     }
2231     #[inline]
asinh(self) -> Self2232     fn asinh(self) -> Self {
2233         libm::asinh(self)
2234     }
2235     #[inline]
acosh(self) -> Self2236     fn acosh(self) -> Self {
2237         libm::acosh(self)
2238     }
2239     #[inline]
atanh(self) -> Self2240     fn atanh(self) -> Self {
2241         libm::atanh(self)
2242     }
2243 }
2244 
2245 macro_rules! float_const_impl {
2246     ($(#[$doc:meta] $constant:ident,)+) => (
2247         #[allow(non_snake_case)]
2248         pub trait FloatConst {
2249             $(#[$doc] fn $constant() -> Self;)+
2250             #[doc = "Return the full circle constant `τ`."]
2251             #[inline]
2252             fn TAU() -> Self where Self: Sized + Add<Self, Output = Self> {
2253                 Self::PI() + Self::PI()
2254             }
2255         }
2256         float_const_impl! { @float f32, $($constant,)+ }
2257         float_const_impl! { @float f64, $($constant,)+ }
2258     );
2259     (@float $T:ident, $($constant:ident,)+) => (
2260         impl FloatConst for $T {
2261             constant! {
2262                 $( $constant() -> $T::consts::$constant; )+
2263                 TAU() -> 6.28318530717958647692528676655900577;
2264             }
2265         }
2266     );
2267 }
2268 
2269 float_const_impl! {
2270     #[doc = "Return Euler’s number."]
2271     E,
2272     #[doc = "Return `1.0 / π`."]
2273     FRAC_1_PI,
2274     #[doc = "Return `1.0 / sqrt(2.0)`."]
2275     FRAC_1_SQRT_2,
2276     #[doc = "Return `2.0 / π`."]
2277     FRAC_2_PI,
2278     #[doc = "Return `2.0 / sqrt(π)`."]
2279     FRAC_2_SQRT_PI,
2280     #[doc = "Return `π / 2.0`."]
2281     FRAC_PI_2,
2282     #[doc = "Return `π / 3.0`."]
2283     FRAC_PI_3,
2284     #[doc = "Return `π / 4.0`."]
2285     FRAC_PI_4,
2286     #[doc = "Return `π / 6.0`."]
2287     FRAC_PI_6,
2288     #[doc = "Return `π / 8.0`."]
2289     FRAC_PI_8,
2290     #[doc = "Return `ln(10.0)`."]
2291     LN_10,
2292     #[doc = "Return `ln(2.0)`."]
2293     LN_2,
2294     #[doc = "Return `log10(e)`."]
2295     LOG10_E,
2296     #[doc = "Return `log2(e)`."]
2297     LOG2_E,
2298     #[doc = "Return Archimedes’ constant `π`."]
2299     PI,
2300     #[doc = "Return `sqrt(2.0)`."]
2301     SQRT_2,
2302 }
2303 
2304 #[cfg(test)]
2305 mod tests {
2306     use core::f64::consts;
2307 
2308     const DEG_RAD_PAIRS: [(f64, f64); 7] = [
2309         (0.0, 0.),
2310         (22.5, consts::FRAC_PI_8),
2311         (30.0, consts::FRAC_PI_6),
2312         (45.0, consts::FRAC_PI_4),
2313         (60.0, consts::FRAC_PI_3),
2314         (90.0, consts::FRAC_PI_2),
2315         (180.0, consts::PI),
2316     ];
2317 
2318     #[test]
convert_deg_rad()2319     fn convert_deg_rad() {
2320         use float::FloatCore;
2321 
2322         for &(deg, rad) in &DEG_RAD_PAIRS {
2323             assert!((FloatCore::to_degrees(rad) - deg).abs() < 1e-6);
2324             assert!((FloatCore::to_radians(deg) - rad).abs() < 1e-6);
2325 
2326             let (deg, rad) = (deg as f32, rad as f32);
2327             assert!((FloatCore::to_degrees(rad) - deg).abs() < 1e-5);
2328             assert!((FloatCore::to_radians(deg) - rad).abs() < 1e-5);
2329         }
2330     }
2331 
2332     #[cfg(any(feature = "std", feature = "libm"))]
2333     #[test]
convert_deg_rad_std()2334     fn convert_deg_rad_std() {
2335         for &(deg, rad) in &DEG_RAD_PAIRS {
2336             use Float;
2337 
2338             assert!((Float::to_degrees(rad) - deg).abs() < 1e-6);
2339             assert!((Float::to_radians(deg) - rad).abs() < 1e-6);
2340 
2341             let (deg, rad) = (deg as f32, rad as f32);
2342             assert!((Float::to_degrees(rad) - deg).abs() < 1e-5);
2343             assert!((Float::to_radians(deg) - rad).abs() < 1e-5);
2344         }
2345     }
2346 
2347     #[test]
2348     // This fails with the forwarded `std` implementation in Rust 1.8.
2349     // To avoid the failure, the test is limited to `no_std` builds.
2350     #[cfg(not(feature = "std"))]
to_degrees_rounding()2351     fn to_degrees_rounding() {
2352         use float::FloatCore;
2353 
2354         assert_eq!(
2355             FloatCore::to_degrees(1_f32),
2356             57.2957795130823208767981548141051703
2357         );
2358     }
2359 }
2360