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When exporting math functions for Windows, we provide weak exports of 'l' variants rather than weak aliases. We still use aliases on other operating systems so that the 'l' variants have one less jump instruction in this case.
180 lines
5.4 KiB
Zig
180 lines
5.4 KiB
Zig
// Ported from musl, which is licensed under the MIT license:
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// https://git.musl-libc.org/cgit/musl/tree/COPYRIGHT
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//
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// https://git.musl-libc.org/cgit/musl/tree/src/math/lnf.c
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// https://git.musl-libc.org/cgit/musl/tree/src/math/ln.c
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const std = @import("std");
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const math = std.math;
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const testing = std.testing;
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pub fn __logh(a: f16) callconv(.C) f16 {
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// TODO: more efficient implementation
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return @floatCast(f16, logf(a));
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}
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pub fn logf(x_: f32) callconv(.C) f32 {
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const ln2_hi: f32 = 6.9313812256e-01;
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const ln2_lo: f32 = 9.0580006145e-06;
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const Lg1: f32 = 0xaaaaaa.0p-24;
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const Lg2: f32 = 0xccce13.0p-25;
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const Lg3: f32 = 0x91e9ee.0p-25;
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const Lg4: f32 = 0xf89e26.0p-26;
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var x = x_;
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var ix = @bitCast(u32, x);
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var k: i32 = 0;
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// x < 2^(-126)
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if (ix < 0x00800000 or ix >> 31 != 0) {
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// log(+-0) = -inf
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if (ix << 1 == 0) {
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return -math.inf(f32);
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}
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// log(-#) = nan
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if (ix >> 31 != 0) {
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return math.nan(f32);
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}
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// subnormal, scale x
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k -= 25;
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x *= 0x1.0p25;
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ix = @bitCast(u32, x);
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} else if (ix >= 0x7F800000) {
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return x;
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} else if (ix == 0x3F800000) {
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return 0;
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}
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// x into [sqrt(2) / 2, sqrt(2)]
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ix += 0x3F800000 - 0x3F3504F3;
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k += @intCast(i32, ix >> 23) - 0x7F;
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ix = (ix & 0x007FFFFF) + 0x3F3504F3;
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x = @bitCast(f32, ix);
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const f = x - 1.0;
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const s = f / (2.0 + f);
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const z = s * s;
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const w = z * z;
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const t1 = w * (Lg2 + w * Lg4);
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const t2 = z * (Lg1 + w * Lg3);
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const R = t2 + t1;
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const hfsq = 0.5 * f * f;
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const dk = @intToFloat(f32, k);
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return s * (hfsq + R) + dk * ln2_lo - hfsq + f + dk * ln2_hi;
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}
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pub fn log(x_: f64) callconv(.C) f64 {
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const ln2_hi: f64 = 6.93147180369123816490e-01;
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const ln2_lo: f64 = 1.90821492927058770002e-10;
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const Lg1: f64 = 6.666666666666735130e-01;
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const Lg2: f64 = 3.999999999940941908e-01;
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const Lg3: f64 = 2.857142874366239149e-01;
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const Lg4: f64 = 2.222219843214978396e-01;
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const Lg5: f64 = 1.818357216161805012e-01;
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const Lg6: f64 = 1.531383769920937332e-01;
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const Lg7: f64 = 1.479819860511658591e-01;
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var x = x_;
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var ix = @bitCast(u64, x);
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var hx = @intCast(u32, ix >> 32);
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var k: i32 = 0;
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if (hx < 0x00100000 or hx >> 31 != 0) {
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// log(+-0) = -inf
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if (ix << 1 == 0) {
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return -math.inf(f64);
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}
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// log(-#) = nan
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if (hx >> 31 != 0) {
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return math.nan(f64);
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}
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// subnormal, scale x
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k -= 54;
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x *= 0x1.0p54;
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hx = @intCast(u32, @bitCast(u64, ix) >> 32);
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} else if (hx >= 0x7FF00000) {
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return x;
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} else if (hx == 0x3FF00000 and ix << 32 == 0) {
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return 0;
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}
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// x into [sqrt(2) / 2, sqrt(2)]
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hx += 0x3FF00000 - 0x3FE6A09E;
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k += @intCast(i32, hx >> 20) - 0x3FF;
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hx = (hx & 0x000FFFFF) + 0x3FE6A09E;
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ix = (@as(u64, hx) << 32) | (ix & 0xFFFFFFFF);
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x = @bitCast(f64, ix);
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const f = x - 1.0;
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const hfsq = 0.5 * f * f;
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const s = f / (2.0 + f);
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const z = s * s;
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const w = z * z;
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const t1 = w * (Lg2 + w * (Lg4 + w * Lg6));
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const t2 = z * (Lg1 + w * (Lg3 + w * (Lg5 + w * Lg7)));
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const R = t2 + t1;
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const dk = @intToFloat(f64, k);
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return s * (hfsq + R) + dk * ln2_lo - hfsq + f + dk * ln2_hi;
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}
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pub fn __logx(a: f80) callconv(.C) f80 {
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// TODO: more efficient implementation
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return @floatCast(f80, logq(a));
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}
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pub fn logq(a: f128) callconv(.C) f128 {
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// TODO: more correct implementation
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return log(@floatCast(f64, a));
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}
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pub fn logl(x: c_longdouble) callconv(.C) c_longdouble {
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switch (@typeInfo(c_longdouble).Float.bits) {
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16 => return __logh(x),
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32 => return logf(x),
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64 => return log(x),
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80 => return __logx(x),
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128 => return logq(x),
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else => @compileError("unreachable"),
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}
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}
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test "ln32" {
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const epsilon = 0.000001;
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try testing.expect(math.approxEqAbs(f32, logf(0.2), -1.609438, epsilon));
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try testing.expect(math.approxEqAbs(f32, logf(0.8923), -0.113953, epsilon));
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try testing.expect(math.approxEqAbs(f32, logf(1.5), 0.405465, epsilon));
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try testing.expect(math.approxEqAbs(f32, logf(37.45), 3.623007, epsilon));
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try testing.expect(math.approxEqAbs(f32, logf(89.123), 4.490017, epsilon));
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try testing.expect(math.approxEqAbs(f32, logf(123123.234375), 11.720941, epsilon));
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}
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test "ln64" {
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const epsilon = 0.000001;
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try testing.expect(math.approxEqAbs(f64, log(0.2), -1.609438, epsilon));
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try testing.expect(math.approxEqAbs(f64, log(0.8923), -0.113953, epsilon));
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try testing.expect(math.approxEqAbs(f64, log(1.5), 0.405465, epsilon));
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try testing.expect(math.approxEqAbs(f64, log(37.45), 3.623007, epsilon));
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try testing.expect(math.approxEqAbs(f64, log(89.123), 4.490017, epsilon));
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try testing.expect(math.approxEqAbs(f64, log(123123.234375), 11.720941, epsilon));
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}
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test "ln32.special" {
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try testing.expect(math.isPositiveInf(logf(math.inf(f32))));
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try testing.expect(math.isNegativeInf(logf(0.0)));
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try testing.expect(math.isNan(logf(-1.0)));
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try testing.expect(math.isNan(logf(math.nan(f32))));
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}
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test "ln64.special" {
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try testing.expect(math.isPositiveInf(log(math.inf(f64))));
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try testing.expect(math.isNegativeInf(log(0.0)));
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try testing.expect(math.isNan(log(-1.0)));
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try testing.expect(math.isNan(log(math.nan(f64))));
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}
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