Files
zig/lib/compiler_rt/tan.zig
T
mihael 764760df62 libzigc/math: Implement rintl, lrintl (#31791)
It's a fairly straightforward port of `musl`'s `rintl`, like `rint` and `rintf` were. `libc-test` tests for `rintl` are uncommented since they're now passing.

I've also covered special cases for `rint` with tests, and broke down the current `rint` and `modf` test declarations into multiple -- so each libc function get its own test declaration at the very least.

Contributes to #30978

Reviewed-on: https://codeberg.org/ziglang/zig/pulls/31791
Reviewed-by: Andrew Kelley <andrew@ziglang.org>
2026-04-27 16:48:55 +02:00

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7.6 KiB
Zig

//! Ported from musl, which is licensed under the MIT license:
//! https://git.musl-libc.org/cgit/musl/tree/COPYRIGHT
//!
//! https://git.musl-libc.org/cgit/musl/tree/src/math/tanf.c
//! https://git.musl-libc.org/cgit/musl/tree/src/math/tan.c
//! https://git.musl-libc.org/cgit/musl/tree/src/math/tanl.c
//! https://golang.org/src/math/tan.go
const std = @import("std");
const builtin = @import("builtin");
const math = std.math;
const ld = math.long_double;
const mem = std.mem;
const expect = std.testing.expect;
const expectApproxEqAbs = std.testing.expectApproxEqAbs;
const kernel = @import("trig.zig");
const rem_pio2 = @import("rem_pio2.zig").rem_pio2;
const rem_pio2f = @import("rem_pio2f.zig").rem_pio2f;
const rem_pio2l = @import("rem_pio2l.zig").rem_pio2l;
const arch = builtin.cpu.arch;
const compiler_rt = @import("../compiler_rt.zig");
const symbol = @import("../compiler_rt.zig").symbol;
comptime {
symbol(&tanh, "__tanh");
symbol(&tanf, "tanf");
symbol(&tan, "tan");
symbol(&tanx, "__tanx");
if (compiler_rt.want_ppc_abi) {
symbol(&tanq, "tanf128");
}
symbol(&tanq, "tanq");
symbol(&tanl, "tanl");
}
pub fn tanh(x: f16) callconv(.c) f16 {
// TODO: more efficient implementation
return @floatCast(tanf(x));
}
pub fn tanf(x: f32) callconv(.c) f32 {
// Small multiples of pi/2 rounded to double precision.
const t1pio2: f64 = 1.0 * math.pi / 2.0; // 0x3FF921FB, 0x54442D18
const t2pio2: f64 = 2.0 * math.pi / 2.0; // 0x400921FB, 0x54442D18
const t3pio2: f64 = 3.0 * math.pi / 2.0; // 0x4012D97C, 0x7F3321D2
const t4pio2: f64 = 4.0 * math.pi / 2.0; // 0x401921FB, 0x54442D18
var ix: u32 = @bitCast(x);
const sign = ix >> 31 != 0;
ix &= 0x7fffffff;
if (ix <= 0x3f490fda) { // |x| ~<= pi/4
if (ix < 0x39800000) { // |x| < 2**-12
// raise inexact if x!=0 and underflow if subnormal
if (compiler_rt.want_float_exceptions) {
if (ix < 0x00800000) {
mem.doNotOptimizeAway(x / 0x1p120);
} else {
mem.doNotOptimizeAway(x + 0x1p120);
}
}
return x;
}
return kernel.tandf(x, false);
}
if (ix <= 0x407b53d1) { // |x| ~<= 5*pi/4
if (ix <= 0x4016cbe3) { // |x| ~<= 3pi/4
return kernel.tandf((if (sign) x + t1pio2 else x - t1pio2), true);
} else {
return kernel.tandf((if (sign) x + t2pio2 else x - t2pio2), false);
}
}
if (ix <= 0x40e231d5) { // |x| ~<= 9*pi/4
if (ix <= 0x40afeddf) { // |x| ~<= 7*pi/4
return kernel.tandf((if (sign) x + t3pio2 else x - t3pio2), true);
} else {
return kernel.tandf((if (sign) x + t4pio2 else x - t4pio2), false);
}
}
// tan(Inf or NaN) is NaN
if (ix >= 0x7f800000) {
return x - x;
}
var y: f64 = undefined;
const n = rem_pio2f(x, &y);
return kernel.tandf(y, n & 1 != 0);
}
pub fn tan(x: f64) callconv(.c) f64 {
var ix = @as(u64, @bitCast(x)) >> 32;
ix &= 0x7fffffff;
// |x| ~< pi/4
if (ix <= 0x3fe921fb) {
if (ix < 0x3e400000) { // |x| < 2**-27
// raise inexact if x!=0 and underflow if subnormal
if (compiler_rt.want_float_exceptions) {
if (ix < 0x00100000) {
mem.doNotOptimizeAway(x / 0x1p120);
} else {
mem.doNotOptimizeAway(x + 0x1p120);
}
}
return x;
}
return kernel.tan(x, 0.0, false);
}
// tan(Inf or NaN) is NaN
if (ix >= 0x7ff00000) {
return x - x;
}
var y: [2]f64 = undefined;
const n = rem_pio2(x, &y);
return kernel.tan(y[0], y[1], n & 1 != 0);
}
pub fn tanx(x: f80) callconv(.c) f80 {
const se = ld.signExponent(x) & 0x7fff;
if (se == 0x7fff) {
return x - x;
}
if (@abs(x) < kernel.pi_4) {
if (se < 0x3fff - math.floatMantissaBits(f80) / 2) {
if (compiler_rt.want_float_exceptions) {
mem.doNotOptimizeAway(if (se == 0) x * 0x1p-120 else x + 0x1p120);
}
return x;
}
return kernel.tanx(x, 0.0, 0);
}
var y: [2]f80 = undefined;
const n = rem_pio2l(f80, x, &y);
return kernel.tanx(y[0], y[1], n & 1);
}
pub fn tanq(x: f128) callconv(.c) f128 {
const se = ld.signExponent(x) & 0x7fff;
if (se == 0x7fff) {
return x - x;
}
if (@abs(x) < kernel.pi_4) {
if (se < 0x3fff - math.floatMantissaBits(f128) / 2) {
if (compiler_rt.want_float_exceptions) {
mem.doNotOptimizeAway(if (se == 0) x * 0x1p-120 else x + 0x1p120);
}
return x;
}
return kernel.tanq(x, 0.0, 0);
}
var y: [2]f128 = undefined;
const n = rem_pio2l(f128, x, &y);
return kernel.tanq(y[0], y[1], n & 1);
}
pub fn tanl(x: c_longdouble) callconv(.c) c_longdouble {
switch (@typeInfo(c_longdouble).float.bits) {
64 => return tan(x),
80 => return tanx(x),
128 => return tanq(x),
else => @compileError("unreachable"),
}
}
fn testTanNormal(comptime T: type) !void {
const f = switch (T) {
f32 => tanf,
f64 => tan,
else => @compileError("unimplemented"),
};
const epsilon = 0.00001;
try expectApproxEqAbs(@as(T, 0.0), f(0.0), epsilon);
try expectApproxEqAbs(@as(T, 0.202710), f(0.2), epsilon);
try expectApproxEqAbs(@as(T, 1.240422), f(0.8923), epsilon);
try expectApproxEqAbs(@as(T, 14.101420), f(1.5), epsilon);
try expectApproxEqAbs(@as(T, -0.254397), f(37.45), epsilon);
try expectApproxEqAbs(@as(T, 2.285837), f(89.123), epsilon);
}
fn testTanSpecial(comptime T: type) !void {
const f = switch (T) {
f32 => tanf,
f64 => tan,
f80 => tanx,
f128 => tanq,
else => @compileError("unimplemented"),
};
try expect(math.isPositiveZero(f(0.0)));
try expect(math.isNegativeZero(f(-0.0)));
try expect(math.isNan(f(math.inf(f32))));
try expect(math.isNan(f(-math.inf(f32))));
try expect(math.isNan(f(math.nan(f32))));
}
test "tan32.normal" {
try testTanNormal(f32);
}
test "tan64.normal" {
try testTanNormal(f64);
}
test "tan80.normal" {
const epsilon = math.floatEps(f80);
try expectApproxEqAbs(@as(f80, 0.0), tanx(0.0), epsilon);
try expectApproxEqAbs(@as(f80, 0.2027100355086724833213582716475345), tanx(0.2), epsilon);
try expectApproxEqAbs(@as(f80, 1.2404217445497097995561220131857544), tanx(0.8923), epsilon);
try expectApproxEqAbs(@as(f80, 14.10141994717171938764), tanx(1.5), epsilon);
try expectApproxEqAbs(@as(f80, -0.25439607116885656232), tanx(37.45), epsilon);
try expectApproxEqAbs(@as(f80, 2.2858376251355320963), tanx(89.123), epsilon);
}
test "tan128.normal" {
const epsilon = math.floatEps(f128);
try expectApproxEqAbs(@as(f128, 0.0), tanq(0.0), epsilon);
try expectApproxEqAbs(@as(f128, 0.2027100355086724833213582716475345), tanq(0.2), epsilon);
try expectApproxEqAbs(@as(f128, 1.2404217445497097995561220131857544), tanq(0.8923), epsilon);
try expectApproxEqAbs(@as(f128, 14.101419947171719387646083651987755), tanq(1.5), epsilon);
try expectApproxEqAbs(@as(f128, -0.2543960711688565630469573224504774), tanq(37.45), epsilon);
try expectApproxEqAbs(@as(f128, 2.2858376251355321074066028114094292), tanq(89.123), epsilon);
}
test "tan32.special" {
try testTanSpecial(f32);
}
test "tan64.special" {
try testTanSpecial(f64);
}
test "tan80.special" {
try testTanSpecial(f80);
}
test "tan128.special" {
try testTanSpecial(f128);
}