| 1 | // Ported from musl, which is licensed under the MIT license: |
| 2 | // https://git.musl-libc.org/cgit/musl/tree/COPYRIGHT |
| 3 | // |
| 4 | // https://git.musl-libc.org/cgit/musl/tree/src/math/atanhf.c |
| 5 | // https://git.musl-libc.org/cgit/musl/tree/src/math/atanh.c |
| 6 | |
| 7 | const std = @import("../std.zig"); |
| 8 | const math = std.math; |
| 9 | const mem = std.mem; |
| 10 | const expect = std.testing.expect; |
| 11 | const maxInt = std.math.maxInt; |
| 12 | |
| 13 | /// Returns the hyperbolic arc-tangent of x. |
| 14 | /// |
| 15 | /// Special Cases: |
| 16 | /// - atanh(+-1) = +-inf with signal |
| 17 | /// - atanh(x) = nan if |x| > 1 with signal |
| 18 | /// - atanh(nan) = nan |
| 19 | pub fn atanh(x: anytype) @TypeOf(x) { |
| 20 | const T = @TypeOf(x); |
| 21 | return switch (T) { |
| 22 | f32 => atanh_32(x), |
| 23 | f64 => atanh_64(x), |
| 24 | else => @compileError("atanh not implemented for " ++ @typeName(T)), |
| 25 | }; |
| 26 | } |
| 27 | |
| 28 | // atanh(x) = log((1 + x) / (1 - x)) / 2 = log1p(2x / (1 - x)) / 2 ~= x + x^3 / 3 + o(x^5) |
| 29 | fn atanh_32(x: f32) f32 { |
| 30 | const u = @as(u32, @bitCast(x)); |
| 31 | const i = u & 0x7FFFFFFF; |
| 32 | const s = u >> 31; |
| 33 | |
| 34 | var y = @as(f32, @bitCast(i)); // |x| |
| 35 | |
| 36 | if (y == 1.0) { |
| 37 | return math.copysign(math.inf(f32), x); |
| 38 | } |
| 39 | |
| 40 | if (u < 0x3F800000 - (1 << 23)) { |
| 41 | if (u < 0x3F800000 - (32 << 23)) { |
| 42 | // underflow |
| 43 | if (u < (1 << 23)) { |
| 44 | mem.doNotOptimizeAway(y * y); |
| 45 | } |
| 46 | } |
| 47 | // |x| < 0.5 |
| 48 | else { |
| 49 | y = 0.5 * math.log1p(2 * y + 2 * y * y / (1 - y)); |
| 50 | } |
| 51 | } else { |
| 52 | y = 0.5 * math.log1p(2 * (y / (1 - y))); |
| 53 | } |
| 54 | |
| 55 | return if (s != 0) -y else y; |
| 56 | } |
| 57 | |
| 58 | fn atanh_64(x: f64) f64 { |
| 59 | const u: u64 = @bitCast(x); |
| 60 | const e = (u >> 52) & 0x7FF; |
| 61 | const s = u >> 63; |
| 62 | |
| 63 | var y: f64 = @bitCast(u & (maxInt(u64) >> 1)); // |x| |
| 64 | |
| 65 | if (y == 1.0) { |
| 66 | return math.copysign(math.inf(f64), x); |
| 67 | } |
| 68 | |
| 69 | if (e < 0x3FF - 1) { |
| 70 | if (e < 0x3FF - 32) { |
| 71 | // underflow |
| 72 | if (e == 0) { |
| 73 | mem.doNotOptimizeAway(@as(f32, @floatCast(y))); |
| 74 | } |
| 75 | } |
| 76 | // |x| < 0.5 |
| 77 | else { |
| 78 | y = 0.5 * math.log1p(2 * y + 2 * y * y / (1 - y)); |
| 79 | } |
| 80 | } else { |
| 81 | y = 0.5 * math.log1p(2 * (y / (1 - y))); |
| 82 | } |
| 83 | |
| 84 | return if (s != 0) -y else y; |
| 85 | } |
| 86 | |
| 87 | test atanh { |
| 88 | try expect(atanh(@as(f32, 0.0)) == atanh_32(0.0)); |
| 89 | try expect(atanh(@as(f64, 0.0)) == atanh_64(0.0)); |
| 90 | } |
| 91 | |
| 92 | test atanh_32 { |
| 93 | const epsilon = 0.000001; |
| 94 | |
| 95 | try expect(math.approxEqAbs(f32, atanh_32(0.0), 0.0, epsilon)); |
| 96 | try expect(math.approxEqAbs(f32, atanh_32(0.2), 0.202733, epsilon)); |
| 97 | try expect(math.approxEqAbs(f32, atanh_32(0.8923), 1.433099, epsilon)); |
| 98 | } |
| 99 | |
| 100 | test atanh_64 { |
| 101 | const epsilon = 0.000001; |
| 102 | |
| 103 | try expect(math.approxEqAbs(f64, atanh_64(0.0), 0.0, epsilon)); |
| 104 | try expect(math.approxEqAbs(f64, atanh_64(0.2), 0.202733, epsilon)); |
| 105 | try expect(math.approxEqAbs(f64, atanh_64(0.8923), 1.433099, epsilon)); |
| 106 | } |
| 107 | |
| 108 | test "atanh32.special" { |
| 109 | try expect(math.isPositiveInf(atanh_32(1))); |
| 110 | try expect(math.isNegativeInf(atanh_32(-1))); |
| 111 | try expect(math.isNan(atanh_32(1.5))); |
| 112 | try expect(math.isNan(atanh_32(-1.5))); |
| 113 | try expect(math.isNan(atanh_32(math.nan(f32)))); |
| 114 | } |
| 115 | |
| 116 | test "atanh64.special" { |
| 117 | try expect(math.isPositiveInf(atanh_64(1))); |
| 118 | try expect(math.isNegativeInf(atanh_64(-1))); |
| 119 | try expect(math.isNan(atanh_64(1.5))); |
| 120 | try expect(math.isNan(atanh_64(-1.5))); |
| 121 | try expect(math.isNan(atanh_64(math.nan(f64)))); |
| 122 | } |