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deep_time/math/
tan.rs

1// origin: FreeBSD /usr/src/lib/msun/src/s_tan.c
2//
3// ====================================================
4// Copyright (C) 1993 by Sun Microsystems, Inc. All rights reserved.
5//
6// Developed at SunPro, a Sun Microsystems, Inc. business.
7// Permission to use, copy, modify, and distribute this
8// software is freely granted, provided that this notice
9// is preserved.
10// ====================================================
11
12#![allow(clippy::indexing_slicing)]
13#![allow(clippy::excessive_precision)]
14#![allow(clippy::approx_constant)]
15#![allow(clippy::eq_op)]
16
17use super::{k_tan, rem_pio2};
18use crate::Real;
19
20/// Computes the tangent of `x` in radians (`tan(x)`).
21///
22/// Returns a value in `(-∞, +∞)`. The function has vertical asymptotes
23/// (poles) at odd multiples of π/2, where the result approaches ±∞ with
24/// the correct sign.
25///
26/// ## Special cases
27///
28/// - `tan(NaN)` returns `NaN`
29/// - `tan(±∞)` returns `NaN`
30/// - `tan(±0.0)` returns `±0.0`
31/// - `tan(k·π)` returns `0.0` (approximately, after argument reduction)
32///
33/// ## Implementation notes
34///
35/// This is a `const fn`-compatible port of the FreeBSD `libm` implementation
36/// (`s_tan.c`). It uses a fast path for `|x| ≤ π/4` (via `k_tan`), returns
37/// the input exactly for `|x| < 2⁻²⁷`, handles infinities/NaNs, and
38/// otherwise performs argument reduction with `rem_pio2` before calling
39/// `k_tan` with the appropriate parity flag.
40///
41/// ## Modifications for this crate
42///
43/// - Adapted to the generic `Real` type (which is `f64` under the hood)
44/// - Made fully `const fn` compatible
45/// - Uses the crate's own `rem_pio2` and `k_tan` implementations
46///
47/// ## Testing
48///
49/// The function is validated by a comprehensive test suite that includes:
50/// - Special values (NaN, infinities, zeros, multiples of π)
51/// - Tiny arguments (exact fast-path for `|x| < 2⁻²⁷`)
52/// - Odd symmetry (`tan(-x) == -tan(x)`)
53/// - Small arguments (fast path)
54/// - Values approaching poles (±∞ behavior)
55/// - Medium and very large arguments (argument reduction stress)
56/// - Subnormal numbers
57/// - Deterministic pseudo-random inputs
58/// - Explicit `const` evaluation checks
59///
60/// All tests pass and produce results matching `std::f64::tan` within 1 ULP.
61pub const fn tan(x: Real) -> Real {
62    let ix = (Real::to_bits(x) >> 32) as u32 & 0x7fffffff;
63
64    /* |x| ~< pi/4 */
65    if ix <= 0x3fe921fb {
66        if ix < 0x3e400000 {
67            /* |x| < 2**-27 */
68            return x;
69        }
70        return k_tan(x, Real::from_bits(0), 0); // ← must be 0 (not 1)
71    }
72
73    /* tan(Inf or NaN) is NaN */
74    if ix >= 0x7ff00000 {
75        return x - x;
76    }
77
78    /* argument reduction */
79    let (n, y0, y1) = rem_pio2(x);
80    k_tan(y0, y1, n & 1)
81}
82
83#[cfg(all(test, feature = "std"))]
84mod tan_tests {
85    use super::tan;
86    use std::f64::consts::PI;
87
88    const MAX_ULP: u64 = 1;
89
90    /// Returns the ULP (unit in the last place) difference between two `f64` values.
91    /// Correctly handles NaNs, infinities, signed zeros, and sign-bit mismatches.
92    fn ulp_diff(a: f64, b: f64) -> u64 {
93        if a.is_nan() && b.is_nan() {
94            return 0;
95        }
96        if a.is_infinite() || b.is_infinite() {
97            return if a == b { 0 } else { u64::MAX };
98        }
99
100        let a_bits = a.to_bits();
101        let b_bits = b.to_bits();
102
103        // +0.0 and -0.0 (and any zero representation) are considered identical.
104        if (a_bits | b_bits) & 0x7fff_ffff_ffff_ffff == 0 {
105            return 0;
106        }
107
108        // Non-zero values with different signs → catastrophic difference.
109        if (a_bits ^ b_bits) & 0x8000_0000_0000_0000 != 0 {
110            return u64::MAX;
111        }
112
113        a_bits.abs_diff(b_bits)
114    }
115
116    fn check(x: f64) {
117        let expected = x.tan();
118        let actual = tan(x);
119
120        if expected.is_nan() {
121            assert!(actual.is_nan(), "tan({x}) should be NaN, got {actual}");
122            return;
123        }
124
125        if expected.is_infinite() {
126            assert!(
127                actual.is_infinite(),
128                "tan({x}) should be infinite (expected {expected}, got {actual})"
129            );
130            assert_eq!(
131                actual.is_sign_positive(),
132                expected.is_sign_positive(),
133                "tan({x}) has wrong sign of infinity"
134            );
135            return;
136        }
137
138        let ulps = ulp_diff(actual, expected);
139        assert!(
140            ulps <= MAX_ULP,
141            "tan({x}) failed: expected = {expected:.17e}, got = {actual:.17e}, ULP diff = {ulps} (max allowed {MAX_ULP})"
142        );
143    }
144
145    #[test]
146    fn special_values() {
147        let cases = [
148            0.0,
149            -0.0,
150            PI / 4.0,
151            -PI / 4.0,
152            PI / 2.0,
153            -PI / 2.0,
154            PI,
155            -PI,
156            3.0 * PI / 2.0,
157            -3.0 * PI / 2.0,
158            2.0 * PI,
159            f64::INFINITY,
160            f64::NEG_INFINITY,
161            f64::NAN,
162            f64::MIN,
163            f64::MAX,
164            f64::MIN_POSITIVE,
165        ];
166        for &x in &cases {
167            check(x);
168        }
169    }
170
171    #[test]
172    fn tiny_arguments_exact() {
173        // The implementation has an explicit fast-path: |x| < 2^-27 returns x exactly.
174        // This test validates that optimization (critical for const fn and performance).
175        let threshold = f64::from_bits(0x3e400000u64 << 32); // 2^-27
176        let step = threshold * 1e-4;
177        let mut x = -threshold * 0.999;
178        while x < threshold * 0.999 {
179            assert_eq!(tan(x), x, "tiny fast-path failed at {x}");
180            x += step;
181        }
182    }
183
184    #[test]
185    fn odd_symmetry() {
186        // tan(-x) == -tan(x) must hold exactly (including for huge magnitudes)
187        for i in -500..=500 {
188            let x = (i as f64) * 0.013;
189            let tx = tan(x);
190            assert_eq!(tan(-x), -tx, "odd symmetry failed at {x}");
191
192            let x_large = x * 1e10;
193            assert_eq!(
194                tan(-x_large),
195                -tan(x_large),
196                "large odd symmetry failed at {x_large}"
197            );
198        }
199    }
200
201    #[test]
202    fn small_arguments() {
203        // |x| ≤ π/4 → uses the direct `k_tan` fast path
204        let bound = PI / 4.0;
205        for i in -12000..=12000 {
206            let x = (i as f64 / 12000.0) * bound;
207            check(x);
208        }
209    }
210
211    #[test]
212    fn approaching_poles() {
213        // The most numerically challenging region for tan: vertical asymptotes at (2k+1)π/2.
214        // We approach from both sides with progressively smaller deltas.
215        for k in -40..=40 {
216            let pole = (2 * k + 1) as f64 * PI / 2.0;
217
218            // From the left
219            for i in 1..=400 {
220                let delta = 1e-8 * (0.9999f64).powi(i);
221                check(pole - delta);
222            }
223            // From the right
224            for i in 1..=400 {
225                let delta = 1e-8 * (0.9999f64).powi(i);
226                check(pole + delta);
227            }
228        }
229    }
230
231    #[test]
232    fn medium_arguments() {
233        // Argument reduction around multiples of π
234        for k in 0..=50 {
235            let base = (k as f64) * PI;
236            for i in -250..=250 {
237                let x = base + (i as f64) * 0.0123;
238                check(x);
239            }
240        }
241    }
242
243    #[test]
244    fn large_arguments() {
245        // Heavy stress on `rem_pio2` for very large magnitudes (up to ~1e22)
246        let mut x = 1e6_f64;
247        while x < 1e22 {
248            check(x);
249            check(x + 0.23456789);
250            check(-x);
251            x *= 3.1415926535;
252        }
253    }
254
255    #[test]
256    fn subnormal_arguments() {
257        // Extremely tiny values (underflow territory)
258        let mut x = f64::MIN_POSITIVE;
259        for _ in 0..100 {
260            check(x);
261            check(-x);
262            x /= 2.0;
263        }
264    }
265
266    #[test]
267    fn randomish_tests() {
268        // Deterministic pseudo-random walk providing broad coverage
269        let mut x: f64 = 1.23456789;
270        for _ in 0..35_000 {
271            check(x);
272            x = x * 1.618033988749895 + 0.5772156649015329; // φ + Euler's γ
273            if x.abs() > 1e15 {
274                x = x.fract() * 75.0;
275            }
276        }
277    }
278
279    #[test]
280    fn const_compatibility() {
281        // Verify that the `const fn` works in a const context and produces correct values.
282        const T0: f64 = tan(0.0);
283        const T_PI4: f64 = tan(PI / 4.0);
284        const T_PI: f64 = tan(PI);
285        const T_SMALL: f64 = tan(1e-12);
286
287        assert_eq!(T0, 0.0, "tan(0.0) must be exactly 0.0");
288        assert!(
289            (T_PI4 - 1.0).abs() < 1e-14,
290            "tan(π/4) should be very close to 1.0"
291        );
292        assert!((T_PI).abs() < 1e-14, "tan(k·π) should be very close to 0.0");
293        assert!(
294            (T_SMALL - 1e-12).abs() < 1e-25,
295            "tiny values must be accurate in const context"
296        );
297    }
298}