| 1 | //! Ported from musl, which is MIT licensed. |
| 2 | //! https://git.musl-libc.org/cgit/musl/tree/COPYRIGHT |
| 3 | //! |
| 4 | //! https://git.musl-libc.org/cgit/musl/tree/src/math/sqrtf.c |
| 5 | //! https://git.musl-libc.org/cgit/musl/tree/src/math/sqrt.c |
| 6 | //! https://git.musl-libc.org/cgit/musl/tree/src/math/sqrtl.c |
| 7 | |
| 8 | const std = @import("std"); |
| 9 | const builtin = @import("builtin"); |
| 10 | const arch = builtin.cpu.arch; |
| 11 | const math = std.math; |
| 12 | const compiler_rt = @import("../compiler_rt.zig"); |
| 13 | const symbol = compiler_rt.symbol; |
| 14 | |
| 15 | comptime { |
| 16 | symbol(&__sqrth, "__sqrth"); |
| 17 | symbol(&sqrtf, "sqrtf"); |
| 18 | symbol(&sqrt, "sqrt"); |
| 19 | symbol(&__sqrtx, "__sqrtx"); |
| 20 | symbol(&sqrtq, "sqrtf128"); |
| 21 | if (compiler_rt.want_sparc64_abi) { |
| 22 | symbol(&_Qp_sqrt, "_Qp_sqrt"); |
| 23 | } else if (compiler_rt.want_sparc32_abi) { |
| 24 | symbol(&sqrtq, "_Q_sqrt"); |
| 25 | } |
| 26 | symbol(&sqrtl, "sqrtl"); |
| 27 | } |
| 28 | |
| 29 | fn __sqrth(x: compiler_rt.f16.Abi) callconv(.c) compiler_rt.f16.Abi { |
| 30 | return compiler_rt.f16.toAbi(sqrt_f16(compiler_rt.f16.fromAbi(x))); |
| 31 | } |
| 32 | pub fn sqrt_f16(x: f16) f16 { |
| 33 | var ix: u16 = @bitCast(x); |
| 34 | var top = ix >> 10; |
| 35 | |
| 36 | // special case handling. |
| 37 | if (top -% 0x01 >= 0x1F - 0x01) { |
| 38 | @branchHint(.unlikely); |
| 39 | // x < 0x1p-14 or inf or nan. |
| 40 | if (ix & 0x7FFF == 0) return x; |
| 41 | if (ix == 0x7C00) return x; |
| 42 | if (ix > 0x7C00) return math.nan(f16); |
| 43 | // x is subnormal, normalize it. |
| 44 | ix = @bitCast(x * 0x1p10); |
| 45 | top = (ix >> 10) -% 10; |
| 46 | } |
| 47 | |
| 48 | // argument reduction: |
| 49 | // x = 4^e m; with integer e, and m in [1, 4) |
| 50 | // m: fixed point representation [2.14] |
| 51 | // 2^e is the exponent part of the result. |
| 52 | const even = (top & 1) != 0; |
| 53 | const m = if (even) (ix << 4) & 0x7FFF else (ix << 5) | 0x8000; |
| 54 | top = (top +% 0x0F) >> 1; |
| 55 | |
| 56 | // approximate r ~ 1/sqrt(m) and s ~ sqrt(m) when m in [1,4) |
| 57 | // the fixed point representations are |
| 58 | // m: 2.14 r: 0.16, s: 2.14, d: 2.14, u: 2.14, three: 2.14 |
| 59 | const three: u16 = 0xC000; |
| 60 | const i: usize = @intCast((ix >> 4) & 0x7F); |
| 61 | const r = rsqrt_tab[i]; |
| 62 | // |r*sqrt(m) - 1| < 0x1p-8 |
| 63 | var s = mul16(m, r); |
| 64 | // |s/sqrt(m) - 1| < 0x1p-8 |
| 65 | const d = mul16(s, r); |
| 66 | const u = three - d; |
| 67 | s = mul16(s, u); // repr: 3.13 |
| 68 | // -0x1.20p-13 < s/sqrt(m) - 1 < 0x7Dp-16 |
| 69 | s = (s - 1) >> 3; // repr: 6.10 |
| 70 | // s < sqrt(m) < s + 0x1.24p-10 |
| 71 | |
| 72 | // compute nearest rounded result: |
| 73 | // the nearest result to 10 bits is either s or s+0x1p-10, |
| 74 | // we can decide by comparing (2^10 s + 0.5)^2 to 2^20 m. |
| 75 | const d0 = (m << 6) -% s *% s; |
| 76 | const d1 = s -% d0; |
| 77 | const d2 = d1 +% s +% 1; |
| 78 | s += d1 >> 15; |
| 79 | s &= 0x03FF; |
| 80 | s |= top << 10; |
| 81 | const y: f16 = @bitCast(s); |
| 82 | |
| 83 | // handle rounding modes and inexact exception: |
| 84 | // only (s+1)^2 == 2^6 m case is exact otherwise |
| 85 | // add a tiny value to cause the fenv effects. |
| 86 | if (d2 != 0) { |
| 87 | @branchHint(.likely); |
| 88 | var tiny: u16 = 0x0001; |
| 89 | tiny |= (d1 ^ d2) & 0x8000; |
| 90 | const t: f16 = @bitCast(tiny); |
| 91 | return y + t; |
| 92 | } |
| 93 | |
| 94 | return y; |
| 95 | } |
| 96 | |
| 97 | fn sqrtf(x: compiler_rt.f32.Abi) callconv(.c) compiler_rt.f32.Abi { |
| 98 | return compiler_rt.f32.toAbi(sqrt_f32(compiler_rt.f32.fromAbi(x))); |
| 99 | } |
| 100 | pub fn sqrt_f32(x: f32) f32 { |
| 101 | var ix: u32 = @bitCast(x); |
| 102 | |
| 103 | if (ix < @as(u32, @bitCast(@as(f32, 0x1p-126))) or @as(u32, @bitCast(std.math.inf(f32))) <= ix) { |
| 104 | @branchHint(.unlikely); |
| 105 | |
| 106 | if (ix & 0x7fffffff == 0) |
| 107 | return x; |
| 108 | |
| 109 | if (ix == @as(u32, @bitCast(std.math.inf(f32)))) |
| 110 | return x; |
| 111 | |
| 112 | if (ix > @as(u32, @bitCast(std.math.inf(f32)))) |
| 113 | return if (compiler_rt.want_float_exceptions) (x - x) / 0.0 else math.nan(f32); |
| 114 | |
| 115 | ix = @as(u32, @bitCast(@as(i32, @bitCast(x * 0x1p23)) - (23 << 23))); |
| 116 | } |
| 117 | |
| 118 | const m: u32 = if (ix & 0x00800000 != 0) |
| 119 | (ix << 7) & 0x7fffffff |
| 120 | else |
| 121 | (ix << 8) | 0x80000000; |
| 122 | |
| 123 | const ey = ((ix >> 1) + (0x3f800000 >> 1)) & 0x7f800000; |
| 124 | // const ey = ((ix + 0x3f800000) & 0xff000000) >> 1; |
| 125 | |
| 126 | const three = 0xc0000000; |
| 127 | const i = (ix >> 17) & 0x7f; |
| 128 | var r = @as(u32, rsqrt_tab[i]) << 16; |
| 129 | |
| 130 | var s = mul32(m, r); |
| 131 | var d = mul32(s, r); |
| 132 | var u = three - d; |
| 133 | r = mul32(r, u) << 1; |
| 134 | s = mul32(s, u) << 1; |
| 135 | d = mul32(s, r); |
| 136 | u = three - d; |
| 137 | s = mul32(s, u); |
| 138 | s = (s - 1) >> 6; |
| 139 | |
| 140 | const d0 = (m << 16) -% s *% s; |
| 141 | const d1 = s -% d0; |
| 142 | const d2 = d1 +% s +% 1; |
| 143 | const y: f32 = @bitCast(((s + (d1 >> 31)) & 0x007fffff) | ey); |
| 144 | |
| 145 | const tiny: u32 = if (d2 == 0) blk: { |
| 146 | @branchHint(.unlikely); |
| 147 | break :blk 0; |
| 148 | } else 0x01000000; |
| 149 | const t: f32 = @bitCast(tiny | ((d1 ^ d2) & 0x80000000)); |
| 150 | |
| 151 | return y + t; |
| 152 | } |
| 153 | |
| 154 | fn sqrt(x: compiler_rt.f64.Abi) callconv(.c) compiler_rt.f64.Abi { |
| 155 | return compiler_rt.f64.toAbi(sqrt_f64(compiler_rt.f64.fromAbi(x))); |
| 156 | } |
| 157 | pub fn sqrt_f64(x: f64) f64 { |
| 158 | var ix: u64 = @bitCast(x); |
| 159 | var top = ix >> 52; |
| 160 | |
| 161 | // special case handling. |
| 162 | if (top -% 0x001 >= 0x7FF - 0x001) { |
| 163 | @branchHint(.unlikely); |
| 164 | // x < 0x1p-1022 or inf or nan. |
| 165 | if (ix & 0x7FFF_FFFF_FFFF_FFFF == 0) return x; |
| 166 | if (ix == 0x7FF0_0000_0000_0000) return x; |
| 167 | if (ix > 0x7FF0_0000_0000_0000) return if (compiler_rt.want_float_exceptions) (x - x) / 0.0 else math.nan(f64); |
| 168 | // x is subnormal, normalize it. |
| 169 | ix = @bitCast(x * 0x1p52); |
| 170 | top = (ix >> 52) -% 52; |
| 171 | } |
| 172 | |
| 173 | // argument reduction: |
| 174 | // x = 4^e m; with integer e, and m in [1, 4) |
| 175 | // m: fixed point representation [2.62] |
| 176 | // 2^e is the exponent part of the result. |
| 177 | const even = (top & 1) != 0; |
| 178 | const m = if (even) (ix << 10) & 0x7FFF_FFFF_FFFF_FFFF else (ix << 11) | 0x8000_0000_0000_0000; |
| 179 | top = (top +% 0x3FF) >> 1; |
| 180 | |
| 181 | // approximate r ~ 1/sqrt(m) and s ~ sqrt(m) when m in [1,4) |
| 182 | // |
| 183 | // initial estimate: |
| 184 | // 7bit table lookup (1bit exponent and 6bit significand). |
| 185 | // |
| 186 | // iterative approximation: |
| 187 | // using 2 goldschmidt iterations with 32bit int arithmetics |
| 188 | // and a final iteration with 64bit int arithmetics. |
| 189 | // |
| 190 | // details: |
| 191 | // |
| 192 | // the relative error (e = r0 sqrt(m)-1) of a linear estimate |
| 193 | // (r0 = a m + b) is |e| < 0.085955 ~ 0x1.6p-4 at best, |
| 194 | // a table lookup is faster and needs one less iteration |
| 195 | // 6 bit lookup table (128b) gives |e| < 0x1.f9p-8 |
| 196 | // 7 bit lookup table (256b) gives |e| < 0x1.fdp-9 |
| 197 | // for single and double prec 6bit is enough but for quad |
| 198 | // prec 7bit is needed (or modified iterations). to avoid |
| 199 | // one more iteration >=13bit table would be needed (16k). |
| 200 | // |
| 201 | // a newton-raphson iteration for r is |
| 202 | // w = r*r |
| 203 | // u = 3 - m*w |
| 204 | // r = r*u/2 |
| 205 | // can use a goldschmidt iteration for s at the end or |
| 206 | // s = m*r |
| 207 | // |
| 208 | // first goldschmidt iteration is |
| 209 | // s = m*r |
| 210 | // u = 3 - s*r |
| 211 | // r = r*u/2 |
| 212 | // s = s*u/2 |
| 213 | // next goldschmidt iteration is |
| 214 | // u = 3 - s*r |
| 215 | // r = r*u/2 |
| 216 | // s = s*u/2 |
| 217 | // and at the end r is not computed only s. |
| 218 | // |
| 219 | // they use the same amount of operations and converge at the |
| 220 | // same quadratic rate, i.e. if |
| 221 | // r1 sqrt(m) - 1 = e, then |
| 222 | // r2 sqrt(m) - 1 = -3/2 e^2 - 1/2 e^3 |
| 223 | // the advantage of goldschmidt is that the mul for s and r |
| 224 | // are independent (computed in parallel), however it is not |
| 225 | // "self synchronizing": it only uses the input m in the |
| 226 | // first iteration so rounding errors accumulate. at the end |
| 227 | // or when switching to larger precision arithmetics rounding |
| 228 | // errors dominate so the first iteration should be used. |
| 229 | // |
| 230 | // the fixed point representations are |
| 231 | // m: 2.30 r: 0.32, s: 2.30, d: 2.30, u: 2.30, three: 2.30 |
| 232 | // and after switching to 64 bit |
| 233 | // m: 2.62 r: 0.64, s: 2.62, d: 2.62, u: 2.62, three: 2.62 |
| 234 | const three: struct { u32, u64 } = .{ |
| 235 | 0xC000_0000, |
| 236 | 0xC000_0000_0000_0000, |
| 237 | }; |
| 238 | var r: struct { u32, u64 } = undefined; |
| 239 | var s: struct { u32, u64 } = undefined; |
| 240 | var d: struct { u32, u64 } = undefined; |
| 241 | var u: struct { u32, u64 } = undefined; |
| 242 | const i: usize = @intCast((ix >> 46) & 0x7F); |
| 243 | r[0] = @intCast(rsqrt_tab[i]); |
| 244 | r[0] <<= 16; |
| 245 | // |r sqrt(m) - 1| < 0x1.fdp-9 |
| 246 | s[0] = mul32(@intCast(m >> 32), r[0]); |
| 247 | // |s/sqrt(m) - 1| < 0x1.fdp-9 |
| 248 | d[0] = mul32(s[0], r[0]); |
| 249 | u[0] = three[0] - d[0]; |
| 250 | r[0] = mul32(r[0], u[0]) << 1; |
| 251 | // |r sqrt(m) - 1| < 0x1.7bp-16 |
| 252 | s[0] = mul32(s[0], u[0]) << 1; |
| 253 | // |s/sqrt(m) - 1| < 0x1.7bp-16 |
| 254 | d[0] = mul32(s[0], r[0]); |
| 255 | u[0] = three[0] - d[0]; |
| 256 | r[0] = mul32(r[0], u[0]) << 1; |
| 257 | // |r sqrt(m) - 1| < 0x1.3704p-29 (measured worst-case) |
| 258 | r[1] = @intCast(r[0]); |
| 259 | r[1] <<= 32; |
| 260 | s[1] = mul64(m, r[1]); |
| 261 | d[1] = mul64(s[1], r[1]); |
| 262 | u[1] = three[1] - d[1]; |
| 263 | s[1] = mul64(s[1], u[1]); // repr: 3.61 |
| 264 | // -0x1p-57 < s - sqrt(m) < 0x1.8001p-61 |
| 265 | s[1] = (s[1] - 2) >> 9; // repr: 12.52 |
| 266 | // -0x1.09p-52 < s - sqrt(m) < -0x1.fffcp-63 |
| 267 | |
| 268 | // s < sqrt(m) < s + 0x1.09p-52 |
| 269 | // compute nearest rounded result: |
| 270 | // the nearest result to 52 bits is either s or s+0x1p-52, |
| 271 | // we can decide by comparing (2^52 s + 0.5)^2 to 2^104 m. |
| 272 | const d0 = (m << 42) -% s[1] *% s[1]; |
| 273 | const d1 = s[1] -% d0; |
| 274 | const d2 = d1 +% s[1] +% 1; |
| 275 | s[1] += d1 >> 63; |
| 276 | s[1] &= 0x000F_FFFF_FFFF_FFFF; |
| 277 | s[1] |= top << 52; |
| 278 | const y: f64 = @bitCast(s[1]); |
| 279 | |
| 280 | // handle rounding modes and inexact exception: |
| 281 | // only (s+1)^2 == 2^42 m case is exact otherwise |
| 282 | // add a tiny value to cause the fenv effects. |
| 283 | if (d2 != 0) { |
| 284 | @branchHint(.likely); |
| 285 | var tiny: u64 = 0x0010_0000_0000_0000; |
| 286 | tiny |= (d1 ^ d2) & 0x8000_0000_0000_0000; |
| 287 | const t: f64 = @bitCast(tiny); |
| 288 | return y + t; |
| 289 | } |
| 290 | |
| 291 | return y; |
| 292 | } |
| 293 | |
| 294 | fn __sqrtx(x: compiler_rt.f80.Abi) callconv(.c) compiler_rt.f80.Abi { |
| 295 | return compiler_rt.f80.toAbi(sqrt_f80(compiler_rt.f80.fromAbi(x))); |
| 296 | } |
| 297 | pub fn sqrt_f80(x: f80) f80 { |
| 298 | var ix: u80 = @bitCast(x); |
| 299 | var top = ix >> 64; |
| 300 | |
| 301 | // special case handling. |
| 302 | if (top -% 0x0001 >= 0x7FFF - 0x0001) { |
| 303 | @branchHint(.unlikely); |
| 304 | // x < 0x1p-16382 or inf or nan. |
| 305 | if (ix & 0x7FFF_FFFF_FFFF_FFFF_FFFF == 0) return x; |
| 306 | if (ix == 0x7FFF_8000_0000_0000_0000) return x; |
| 307 | if (ix > 0x7FFF_8000_0000_0000_0000) return if (compiler_rt.want_float_exceptions) (x - x) / 0.0 else math.nan(f80); |
| 308 | // x is subnormal, normalize it. |
| 309 | ix = @bitCast(x * 0x1p63); |
| 310 | top = (ix >> 64) -% 63; |
| 311 | } |
| 312 | |
| 313 | // argument reduction: |
| 314 | // x = 4^e m; with integer e, and m in [1, 4) |
| 315 | // m: fixed point representation [2.78] |
| 316 | // 2^e is the exponent part of the result. |
| 317 | const even = (top & 1) != 0; |
| 318 | const m = if (even) (ix << 15) & 0x7FFF_FFFF_FFFF_FFFF_FFFF else ix << 16; |
| 319 | top = (top +% 0x3FFF) >> 1; |
| 320 | |
| 321 | // approximate r ~ 1/sqrt(m) and s ~ sqrt(m) when m in [1,4) |
| 322 | // the fixed point representations are |
| 323 | // m: 2.30 r: 0.32, s: 2.30, d: 2.30, u: 2.30, three: 2.30 |
| 324 | // and after switching to 64 bit |
| 325 | // m: 2.62 r: 0.64, s: 2.62, d: 2.62, u: 2.62, three: 2.62 |
| 326 | // and after switching to 80 bit |
| 327 | // m: 2.78 r: 0.80, s: 2.78, d: 2.78, u: 2.78, three: 2.78 |
| 328 | const three: struct { u32, u64, u80 } = .{ |
| 329 | 0xC000_0000, |
| 330 | 0xC000_0000_0000_0000, |
| 331 | 0xC000_0000_0000_0000_0000, |
| 332 | }; |
| 333 | var r: struct { u32, u64, u80 } = undefined; |
| 334 | var s: struct { u32, u64, u80 } = undefined; |
| 335 | var d: struct { u32, u64, u80 } = undefined; |
| 336 | var u: struct { u32, u64, u80 } = undefined; |
| 337 | var i: usize = @intCast((ix >> 57) & 0x3F); |
| 338 | if (even) i += 64; |
| 339 | r[0] = @intCast(rsqrt_tab[i]); |
| 340 | r[0] <<= 16; |
| 341 | // |r sqrt(m) - 1| < 0x1p-8 |
| 342 | s[0] = mul32(@intCast(m >> 48), r[0]); |
| 343 | d[0] = mul32(s[0], r[0]); |
| 344 | u[0] = three[0] - d[0]; |
| 345 | r[0] = mul32(u[0], r[0]) << 1; |
| 346 | // |r sqrt(m) - 1| < 0x1.7bp-16, switch to 64bit |
| 347 | r[1] = @intCast(r[0]); |
| 348 | r[1] <<= 32; |
| 349 | s[1] = mul64(@intCast(m >> 16), r[1]); |
| 350 | d[1] = mul64(s[1], r[1]); |
| 351 | u[1] = three[1] - d[1]; |
| 352 | r[1] = mul64(u[1], r[1]) << 1; |
| 353 | // |r sqrt(m) - 1| < 0x1.a5p-31 |
| 354 | s[1] = mul64(u[1], s[1]) << 1; |
| 355 | d[1] = mul64(s[1], r[1]); |
| 356 | u[1] = three[1] - d[1]; |
| 357 | r[1] = mul64(u[1], r[1]) << 1; |
| 358 | // |r sqrt(m) - 1| < 0x1.c001p-59, switch to 80bit |
| 359 | r[2] = @intCast(r[1]); |
| 360 | r[2] <<= 16; |
| 361 | s[2] = mul80(m, r[2]); |
| 362 | d[2] = mul80(s[2], r[2]); |
| 363 | u[2] = three[2] - d[2]; |
| 364 | s[2] = mul80(u[2], s[2]); // repr: 3.77 |
| 365 | s[2] = (s[2] - 4) >> 14; // repr: 17.63 |
| 366 | // s < sqrt(m) < s + 1 ULP + tiny |
| 367 | |
| 368 | // compute nearest rounded result: |
| 369 | // the nearest result to 63 bits is either s or s+0x1p-63, |
| 370 | // we can decide by comparing (2^63 s + 0.5)^2 to 2^126 m |
| 371 | const d0 = (m << 48) -% mul80_tail(s[2], s[2]); |
| 372 | const d1 = s[2] -% d0; |
| 373 | const d2 = d1 +% s[2] +% 1; |
| 374 | s[2] += d1 >> 79; |
| 375 | s[2] &= 0x0000_7FFF_FFFF_FFFF_FFFF; |
| 376 | s[2] |= 0x0000_8000_0000_0000_0000; |
| 377 | s[2] |= top << 64; |
| 378 | const y: f80 = @bitCast(s[2]); |
| 379 | |
| 380 | // handle rounding modes and inexact exception: |
| 381 | // only (s+1)^2 == 2^48 m case is exact otherwise |
| 382 | // add a tiny value to cause the fenv effects. |
| 383 | if (d2 != 0) { |
| 384 | @branchHint(.likely); |
| 385 | var tiny: u80 = 0x0001_8000_0000_0000_0000; |
| 386 | tiny |= (d1 ^ d2) & 0x8000_0000_0000_0000_0000; |
| 387 | const t: f80 = @bitCast(tiny); |
| 388 | return y + t; |
| 389 | } |
| 390 | |
| 391 | return y; |
| 392 | } |
| 393 | |
| 394 | fn sqrtq(x: compiler_rt.f128.Abi) callconv(.c) compiler_rt.f128.Abi { |
| 395 | return compiler_rt.f128.toAbi(sqrt_f128(compiler_rt.f128.fromAbi(x))); |
| 396 | } |
| 397 | pub fn sqrt_f128(x: f128) f128 { |
| 398 | var ix: u128 = @bitCast(x); |
| 399 | var top = ix >> 112; |
| 400 | |
| 401 | // special case handling. |
| 402 | if (top -% 0x0001 >= 0x7FFF - 0x0001) { |
| 403 | @branchHint(.unlikely); |
| 404 | // x < 0x1p-16382 or inf or nan. |
| 405 | if (ix & 0x7FFF_FFFF_FFFF_FFFF_FFFF_FFFF_FFFF_FFFF == 0) return x; |
| 406 | if (ix == 0x7FFF_0000_0000_0000_0000_0000_0000_0000) return x; |
| 407 | if (ix > 0x7FFF_0000_0000_0000_0000_0000_0000_0000) return math.nan(f128); |
| 408 | // x is subnormal, normalize it. |
| 409 | ix = @bitCast(x * 0x1p112); |
| 410 | top = (ix >> 112) -% 112; |
| 411 | } |
| 412 | |
| 413 | // argument reduction: |
| 414 | // x = 4^e m; with integer e, and m in [1, 4) |
| 415 | // m: fixed point representation [2.126] |
| 416 | // 2^e is the exponent part of the result. |
| 417 | const even = (top & 1) != 0; |
| 418 | const m = if (even) (ix << 14) & 0x7FFF_FFFF_FFFF_FFFF_FFFF_FFFF_FFFF_FFFF else (ix << 15) | 0x8000_0000_0000_0000_0000_0000_0000_0000; |
| 419 | top = (top +% 0x3FFF) >> 1; |
| 420 | |
| 421 | // approximate r ~ 1/sqrt(m) and s ~ sqrt(m) when m in [1,4) |
| 422 | // the fixed point representations are |
| 423 | // m: 2.30 r: 0.32, s: 2.30, d: 2.30, u: 2.30, three: 2.30 |
| 424 | // and after switching to 64 bit |
| 425 | // m: 2.62 r: 0.64, s: 2.62, d: 2.62, u: 2.62, three: 2.62 |
| 426 | // and after switching to 128 bit |
| 427 | // m: 2.126 r: 0.128, s: 2.126, d: 2.126, u: 2.126, three: 2.126 |
| 428 | const three: struct { u32, u64, u128 } = .{ |
| 429 | 0xC000_0000, |
| 430 | 0xC000_0000_0000_0000, |
| 431 | 0xC000_0000_0000_0000_0000_0000_0000_0000, |
| 432 | }; |
| 433 | var r: struct { u32, u64, u128 } = undefined; |
| 434 | var s: struct { u32, u64, u128 } = undefined; |
| 435 | var d: struct { u32, u64, u128 } = undefined; |
| 436 | var u: struct { u32, u64, u128 } = undefined; |
| 437 | const i: usize = @intCast((ix >> 106) & 0x7F); |
| 438 | r[0] = @intCast(rsqrt_tab[i]); |
| 439 | r[0] <<= 16; |
| 440 | // |r sqrt(m) - 1| < 0x1p-8 |
| 441 | s[0] = mul32(@intCast(m >> 96), r[0]); |
| 442 | d[0] = mul32(s[0], r[0]); |
| 443 | u[0] = three[0] - d[0]; |
| 444 | r[0] = mul32(u[0], r[0]) << 1; |
| 445 | // |r sqrt(m) - 1| < 0x1.7bp-16, switch to 64bit |
| 446 | r[1] = @intCast(r[0]); |
| 447 | r[1] <<= 32; |
| 448 | s[1] = mul64(@intCast(m >> 64), r[1]); |
| 449 | d[1] = mul64(s[1], r[1]); |
| 450 | u[1] = three[1] - d[1]; |
| 451 | r[1] = mul64(u[1], r[1]) << 1; |
| 452 | // |r sqrt(m) - 1| < 0x1.a5p-31 |
| 453 | s[1] = mul64(u[1], s[1]) << 1; |
| 454 | d[1] = mul64(s[1], r[1]); |
| 455 | u[1] = three[1] - d[1]; |
| 456 | r[1] = mul64(u[1], r[1]) << 1; |
| 457 | // |r sqrt(m) - 1| < 0x1.c001p-59, switch to 128bit |
| 458 | r[2] = @intCast(r[1]); |
| 459 | r[2] <<= 64; |
| 460 | s[2] = mul128(m, r[2]); |
| 461 | d[2] = mul128(s[2], r[2]); |
| 462 | u[2] = three[2] - d[2]; |
| 463 | s[2] = mul128(u[2], s[2]); // repr: 3.125 |
| 464 | // -0x1p-116 < s - sqrt(m) < 0x3.8001p-125 |
| 465 | s[2] = (s[2] - 4) >> 13; // repr: 16.122 |
| 466 | // s < sqrt(m) < s + 1 ULP + tiny |
| 467 | |
| 468 | // compute nearest rounded result: |
| 469 | // the nearest result to 122 bits is either s or s+0x1p-122, |
| 470 | // we can decide by comparing (2^122 s + 0.5)^2 to 2^244 m |
| 471 | const d0 = (m << 98) -% s[2] *% s[2]; |
| 472 | const d1 = s[2] -% d0; |
| 473 | const d2 = d1 +% s[2] +% 1; |
| 474 | s[2] += d1 >> 127; |
| 475 | s[2] &= 0x0000_FFFF_FFFF_FFFF_FFFF_FFFF_FFFF_FFFF; |
| 476 | s[2] |= top << 112; |
| 477 | const y: f128 = @bitCast(s[2]); |
| 478 | |
| 479 | // handle rounding modes and inexact exception: |
| 480 | // only (s+1)^2 == 2^98 m case is exact otherwise |
| 481 | // add a tiny value to cause the fenv effects. |
| 482 | if (d2 != 0) { |
| 483 | @branchHint(.likely); |
| 484 | var tiny: u128 = 0x0001_0000_0000_0000_0000_0000_0000_0000; |
| 485 | tiny |= (d1 ^ d2) & 0x8000_0000_0000_0000_0000_0000_0000_0000; |
| 486 | const t: f128 = @bitCast(tiny); |
| 487 | return y + t; |
| 488 | } |
| 489 | |
| 490 | return y; |
| 491 | } |
| 492 | |
| 493 | fn _Qp_sqrt(c: *f128, a: *f128) callconv(.c) void { |
| 494 | c.* = sqrt(@floatCast(a.*)); |
| 495 | } |
| 496 | |
| 497 | pub fn sqrtl(x: c_longdouble) callconv(.c) c_longdouble { |
| 498 | switch (@typeInfo(c_longdouble).float.bits) { |
| 499 | 64 => return sqrt_f64(x), |
| 500 | 80 => return sqrt_f80(x), |
| 501 | 128 => return sqrt_f128(x), |
| 502 | else => comptime unreachable, |
| 503 | } |
| 504 | } |
| 505 | |
| 506 | const rsqrt_tab: [128]u16 = .{ |
| 507 | 0xB451, 0xB2F0, 0xB196, 0xB044, 0xAEF9, 0xADB6, 0xAC79, 0xAB43, |
| 508 | 0xAA14, 0xA8EB, 0xA7C8, 0xA6AA, 0xA592, 0xA480, 0xA373, 0xA26B, |
| 509 | 0xA168, 0xA06A, 0x9F70, 0x9E7B, 0x9D8A, 0x9C9D, 0x9BB5, 0x9AD1, |
| 510 | 0x99F0, 0x9913, 0x983A, 0x9765, 0x9693, 0x95C4, 0x94F8, 0x9430, |
| 511 | 0x936B, 0x92A9, 0x91EA, 0x912E, 0x9075, 0x8FBE, 0x8F0A, 0x8E59, |
| 512 | 0x8DAA, 0x8CFE, 0x8C54, 0x8BAC, 0x8B07, 0x8A64, 0x89C4, 0x8925, |
| 513 | 0x8889, 0x87EE, 0x8756, 0x86C0, 0x862B, 0x8599, 0x8508, 0x8479, |
| 514 | 0x83EC, 0x8361, 0x82D8, 0x8250, 0x81C9, 0x8145, 0x80C2, 0x8040, |
| 515 | 0xFF02, 0xFD0E, 0xFB25, 0xF947, 0xF773, 0xF5AA, 0xF3EA, 0xF234, |
| 516 | 0xF087, 0xEEE3, 0xED47, 0xEBB3, 0xEA27, 0xE8A3, 0xE727, 0xE5B2, |
| 517 | 0xE443, 0xE2DC, 0xE17A, 0xE020, 0xDECB, 0xDD7D, 0xDC34, 0xDAF1, |
| 518 | 0xD9B3, 0xD87B, 0xD748, 0xD61A, 0xD4F1, 0xD3CD, 0xD2AD, 0xD192, |
| 519 | 0xD07B, 0xCF69, 0xCE5B, 0xCD51, 0xCC4A, 0xCB48, 0xCA4A, 0xC94F, |
| 520 | 0xC858, 0xC764, 0xC674, 0xC587, 0xC49D, 0xC3B7, 0xC2D4, 0xC1F4, |
| 521 | 0xC116, 0xC03C, 0xBF65, 0xBE90, 0xBDBE, 0xBCEF, 0xBC23, 0xBB59, |
| 522 | 0xBA91, 0xB9CC, 0xB90A, 0xB84A, 0xB78C, 0xB6D0, 0xB617, 0xB560, |
| 523 | }; |
| 524 | |
| 525 | inline fn mul16(a: u16, b: u16) u16 { |
| 526 | return @intCast(@as(u32, a) * b >> 16); |
| 527 | } |
| 528 | |
| 529 | inline fn mul32(a: u32, b: u32) u32 { |
| 530 | return @intCast(@as(u64, a) * b >> 32); |
| 531 | } |
| 532 | |
| 533 | inline fn mul64(a: u64, b: u64) u64 { |
| 534 | return @intCast(@as(u128, a) * b >> 64); |
| 535 | } |
| 536 | |
| 537 | inline fn mul80(a: u80, b: u80) u80 { |
| 538 | const ahi = a >> 40; |
| 539 | const alo = a & 0xFF_FFFF_FFFF; |
| 540 | const bhi = b >> 40; |
| 541 | const blo = b & 0xFF_FFFF_FFFF; |
| 542 | return ahi * bhi + (ahi * blo >> 40) + (alo * bhi >> 40); |
| 543 | } |
| 544 | |
| 545 | inline fn mul128(a: u128, b: u128) u128 { |
| 546 | const ahi = a >> 64; |
| 547 | const alo = a & 0xFFFF_FFFF_FFFF_FFFF; |
| 548 | const bhi = b >> 64; |
| 549 | const blo = b & 0xFFFF_FFFF_FFFF_FFFF; |
| 550 | return ahi * bhi + (ahi * blo >> 64) + (alo * bhi >> 64); |
| 551 | } |
| 552 | |
| 553 | inline fn mul80_tail(a: u80, b: u80) u80 { |
| 554 | const ahi = a >> 40; |
| 555 | const alo = a & 0xFF_FFFF_FFFF; |
| 556 | const bhi = b >> 40; |
| 557 | const blo = b & 0xFF_FFFF_FFFF; |
| 558 | return alo * blo +% ((ahi * blo) << 40) +% ((alo * bhi) << 40); |
| 559 | } |
| 560 | |
| 561 | test "sqrt_f16" { |
| 562 | // sqrt(±0) is ±0 |
| 563 | try std.testing.expectEqual(sqrt_f16(0x0.0p0), 0x0.0p0); |
| 564 | try std.testing.expectEqual(sqrt_f16(-0x0.0p0), -0x0.0p0); |
| 565 | // sqrt(+max) is finite |
| 566 | try std.testing.expectEqual(sqrt_f16(0x1.FFCp15), 0x1.FFCp7); |
| 567 | // sqrt(4)=2 |
| 568 | try std.testing.expectEqual(sqrt_f16(0x1p2), 0x1p1); |
| 569 | // sqrt(x) for x=1, 1±ulp |
| 570 | try std.testing.expectEqual(sqrt_f16(0x1p0), 0x1p0); |
| 571 | try std.testing.expectEqual(sqrt_f16(0x1.004p0), 0x1p0); |
| 572 | try std.testing.expectEqual(sqrt_f16(0x1.FF8p-1), 0x1.FFCp-1); |
| 573 | // sqrt(+min) is non-zero |
| 574 | try std.testing.expectEqual(sqrt_f16(0x1p-14), 0x1p-7); |
| 575 | // sqrt(min subnormal) is non-zero |
| 576 | try std.testing.expectEqual(sqrt_f16(0x0.004p-14), 0x1p-12); |
| 577 | // sqrt(inf) is inf |
| 578 | try std.testing.expect(math.isInf(sqrt_f16(math.inf(f16)))); |
| 579 | // sqrt(nan) is nan |
| 580 | try std.testing.expect(math.isNan(sqrt_f16(math.nan(f16)))); |
| 581 | // sqrt(-ve) is nan |
| 582 | try std.testing.expect(math.isNan(sqrt_f16(-0x1p-14))); |
| 583 | try std.testing.expect(math.isNan(sqrt_f16(-0x1p+0))); |
| 584 | try std.testing.expect(math.isNan(sqrt_f16(-math.inf(f16)))); |
| 585 | // random arguments |
| 586 | try std.testing.expectEqual(sqrt_f16(0x1.1p14), 0x1.08p7); |
| 587 | try std.testing.expectEqual(sqrt_f16(0x1.C9p-12), 0x1.56p-6); |
| 588 | try std.testing.expectEqual(sqrt_f16(0x1.CE8p-7), 0x1.E68p-4); |
| 589 | try std.testing.expectEqual(sqrt_f16(0x1.134p-7), 0x1.778p-4); |
| 590 | try std.testing.expectEqual(sqrt_f16(0x1.E9Cp-10), 0x1.62p-5); |
| 591 | try std.testing.expectEqual(sqrt_f16(0x1.3Dp9), 0x1.92Cp4); |
| 592 | try std.testing.expectEqual(sqrt_f16(0x1.AA4p8), 0x1.4A4p4); |
| 593 | try std.testing.expectEqual(sqrt_f16(0x1.8A8p4), 0x1.3DCp2); |
| 594 | try std.testing.expectEqual(sqrt_f16(0x1.8Fp-7), 0x1.C4p-4); |
| 595 | try std.testing.expectEqual(sqrt_f16(0x1.584p-11), 0x1.A3Cp-6); |
| 596 | } |
| 597 | |
| 598 | test "sqrt_f32" { |
| 599 | // sqrt(±0) is ±0 |
| 600 | try std.testing.expectEqual(sqrt_f32(0x0.0p0), 0x0.0p0); |
| 601 | try std.testing.expectEqual(sqrt_f32(-0x0.0p0), -0x0.0p0); |
| 602 | // sqrt(+max) is finite |
| 603 | try std.testing.expectEqual(sqrt_f32(0x1.FFFFFEp127), 0x1.FFFFFEp63); |
| 604 | // sqrt(4)=2 |
| 605 | try std.testing.expectEqual(sqrt_f32(0x1p2), 0x1p1); |
| 606 | // sqrt(x) for x=1, 1±ulp |
| 607 | try std.testing.expectEqual(sqrt_f32(0x1p0), 0x1p0); |
| 608 | try std.testing.expectEqual(sqrt_f32(0x1.000002p0), 0x1p0); |
| 609 | try std.testing.expectEqual(sqrt_f32(0x1.FFFFFEp-1), 0x1.FFFFFEp-1); |
| 610 | // sqrt(+min) is non-zero |
| 611 | try std.testing.expectEqual(sqrt_f32(0x1p-126), 0x1p-63); |
| 612 | // sqrt(min subnormal) is non-zero |
| 613 | try std.testing.expectEqual(sqrt_f32(0x0.000002p-126), 0x1.6a09e6p-75); |
| 614 | // sqrt(inf) is inf |
| 615 | try std.testing.expect(math.isInf(sqrt_f32(math.inf(f32)))); |
| 616 | // sqrt(nan) is nan |
| 617 | try std.testing.expect(math.isNan(sqrt_f32(math.nan(f32)))); |
| 618 | // sqrt(-ve) is nan |
| 619 | try std.testing.expect(math.isNan(sqrt_f32(-0x1p-149))); |
| 620 | try std.testing.expect(math.isNan(sqrt_f32(-0x1p0))); |
| 621 | try std.testing.expect(math.isNan(sqrt_f32(-math.inf(f32)))); |
| 622 | // random arguments |
| 623 | try std.testing.expectEqual(sqrt_f32(0x1.4DD57Ep77), 0x1.9D6DA8p38); |
| 624 | try std.testing.expectEqual(sqrt_f32(0x1.871848p102), 0x1.3C6AFAp51); |
| 625 | try std.testing.expectEqual(sqrt_f32(0x1.A1D748p-112), 0x1.470EFCp-56); |
| 626 | try std.testing.expectEqual(sqrt_f32(0x1.E626C2p18), 0x1.60C80Ep9); |
| 627 | try std.testing.expectEqual(sqrt_f32(0x1.E80E66p-29), 0x1.F3E282p-15); |
| 628 | try std.testing.expectEqual(sqrt_f32(0x1.B47204p89), 0x1.D8B732p44); |
| 629 | try std.testing.expectEqual(sqrt_f32(0x1.77F45p15), 0x1.B6BC3Ap7); |
| 630 | try std.testing.expectEqual(sqrt_f32(0x1.AD5F5p-48), 0x1.4B8A72p-24); |
| 631 | try std.testing.expectEqual(sqrt_f32(0x1.91A39p-76), 0x1.40A7A8p-38); |
| 632 | try std.testing.expectEqual(sqrt_f32(0x1.DAE088p79), 0x1.ED16DCp39); |
| 633 | } |
| 634 | |
| 635 | test "sqrt_f64" { |
| 636 | // sqrt(±0) is ±0 |
| 637 | try std.testing.expectEqual(sqrt_f64(0x0.0p0), 0x0.0p0); |
| 638 | try std.testing.expectEqual(sqrt_f64(-0x0.0p0), -0x0.0p0); |
| 639 | // sqrt(+max) is finite |
| 640 | try std.testing.expectEqual(sqrt_f64(math.floatMax(f64)), 0x1.FFFFFFFFFFFFFp511); |
| 641 | // sqrt(4)=2 |
| 642 | try std.testing.expectEqual(sqrt_f64(0x1p2), 0x1p1); |
| 643 | // sqrt(x) for x=1, 1±ulp |
| 644 | try std.testing.expectEqual(sqrt_f64(0x1p0), 0x1p0); |
| 645 | try std.testing.expectEqual(sqrt_f64(0x1p0 + math.floatEps(f64)), 0x1p0); |
| 646 | try std.testing.expectEqual(sqrt_f64(0x1p0 - math.floatEps(f64)), 0x1.FFFFFFFFFFFFFp-1); |
| 647 | // sqrt(+min) is non-zero |
| 648 | try std.testing.expectEqual(sqrt_f64(math.floatMin(f64)), 0x1p-511); |
| 649 | // sqrt(min subnormal) is non-zero |
| 650 | try std.testing.expectEqual(sqrt_f64(math.floatTrueMin(f64)), 0x1p-537); |
| 651 | // sqrt(inf) is inf |
| 652 | try std.testing.expect(math.isInf(sqrt_f64(math.inf(f64)))); |
| 653 | // sqrt(nan) is nan |
| 654 | try std.testing.expect(math.isNan(sqrt_f64(math.nan(f64)))); |
| 655 | // sqrt(-ve) is nan |
| 656 | try std.testing.expect(math.isNan(sqrt_f64(-0x1p-1074))); |
| 657 | try std.testing.expect(math.isNan(sqrt_f64(-0x1p0))); |
| 658 | try std.testing.expect(math.isNan(sqrt_f64(-math.inf(f64)))); |
| 659 | // random arguments |
| 660 | try std.testing.expectEqual(sqrt_f64(0x1.27D3510D4789Bp471), 0x1.852E97E58CFB7p235); |
| 661 | try std.testing.expectEqual(sqrt_f64(0x1.8C4FCD5A07846p791), 0x1.C27504E56D938p395); |
| 662 | try std.testing.expectEqual(sqrt_f64(0x1.B1B69324F96E7p-137), 0x1.D73BD0414D8BFp-69); |
| 663 | try std.testing.expectEqual(sqrt_f64(0x1.1CBD179A811FEp278), 0x1.0DFCB9A114A61p139); |
| 664 | try std.testing.expectEqual(sqrt_f64(0x1.1D0C7EFB04A56p917), 0x1.7E0708A25DDCDp458); |
| 665 | try std.testing.expectEqual(sqrt_f64(0x1.21B355DA8C94Bp-249), 0x1.8121CBE2608E3p-125); |
| 666 | try std.testing.expectEqual(sqrt_f64(0x1.63024D4C5E987p487), 0x1.AA56AEA589DCDp243); |
| 667 | try std.testing.expectEqual(sqrt_f64(0x1.45AC3BE941F6Ep339), 0x1.9857F3F453E2Dp169); |
| 668 | try std.testing.expectEqual(sqrt_f64(0x1.3B719C733AA24p267), 0x1.91E12E3AC8F71p133); |
| 669 | try std.testing.expectEqual(sqrt_f64(0x1.0B150433A2275p357), 0x1.71CAB87F8277Cp178); |
| 670 | } |
| 671 | |
| 672 | test "__sqrtx" { |
| 673 | // sqrt(±0) is ±0 |
| 674 | try std.testing.expectEqual(sqrt_f80(0x0.0p0), 0x0.0p0); |
| 675 | try std.testing.expectEqual(sqrt_f80(-0x0.0p0), -0x0.0p0); |
| 676 | // sqrt(+max) is finite |
| 677 | try std.testing.expectEqual(sqrt_f80(math.floatMax(f80)), 0x1.FFFFFFFFFFFFFFFEp8191); |
| 678 | // sqrt(4)=2 |
| 679 | try std.testing.expectEqual(sqrt_f80(0x1p2), 0x1p1); |
| 680 | // sqrt(x) for x=1, 1±ulp |
| 681 | try std.testing.expectEqual(sqrt_f80(0x1p0), 0x1p0); |
| 682 | try std.testing.expectEqual(sqrt_f80(0x1p0 + math.floatEps(f80)), 0x1p0); |
| 683 | try std.testing.expectEqual(sqrt_f80(0x1p0 - math.floatEps(f80)), 0x1.FFFFFFFFFFFFFFFEp-1); |
| 684 | // sqrt(+min) is non-zero |
| 685 | try std.testing.expectEqual(sqrt_f80(math.floatMin(f80)), 0x1p-8191); |
| 686 | // sqrt(min subnormal) is non-zero |
| 687 | try std.testing.expectEqual(sqrt_f80(math.floatTrueMin(f80)), 0x1.6A09E667F3BCC908p-8223); |
| 688 | // sqrt(inf) is inf |
| 689 | try std.testing.expect(math.isInf(sqrt_f80(math.inf(f80)))); |
| 690 | // sqrt(nan) is nan |
| 691 | try std.testing.expect(math.isNan(sqrt_f80(math.nan(f80)))); |
| 692 | // sqrt(-ve) is nan |
| 693 | try std.testing.expect(math.isNan(sqrt_f80(-0x1p-16442))); |
| 694 | try std.testing.expect(math.isNan(sqrt_f80(-0x1p0))); |
| 695 | try std.testing.expect(math.isNan(sqrt_f80(-math.inf(f80)))); |
| 696 | // random arguments |
| 697 | try std.testing.expectEqual(sqrt_f80(0x1.087F3953486918A4p15482), 0x1.0436BBE03D02F32p7741); |
| 698 | try std.testing.expectEqual(sqrt_f80(0x1.530CF9E2AE84D8Fp-6330), 0x1.269CFEF51933BE58p-3165); |
| 699 | try std.testing.expectEqual(sqrt_f80(0x1.3F971515EADD574Ap5713), 0x1.9483232AB780B006p2856); |
| 700 | try std.testing.expectEqual(sqrt_f80(0x1.4CC0DC7379222954p864), 0x1.23DD4D0A4758C2Cp432); |
| 701 | try std.testing.expectEqual(sqrt_f80(0x1.920E5649559A839Ep-3181), 0x1.C5B5BC0F98DD83D2p-1591); |
| 702 | try std.testing.expectEqual(sqrt_f80(0x1.2E59726F87CD1746p-629), 0x1.8973327E95CB350Cp-315); |
| 703 | try std.testing.expectEqual(sqrt_f80(0x1.D3A16391F57B4D64p-9034), 0x1.59FF08B7DEEF5DB2p-4517); |
| 704 | try std.testing.expectEqual(sqrt_f80(0x1.E7053D8DAA49BCEEp-11411), 0x1.F35AA3EA5E18E344p-5706); |
| 705 | try std.testing.expectEqual(sqrt_f80(0x1.797ED0B05DD4A984p7521), 0x1.B7A22E40C6A7867Ap3760); |
| 706 | try std.testing.expectEqual(sqrt_f80(0x1.FC50806445C7226Ap15371), 0x1.FE2766142653F5BEp7685); |
| 707 | } |
| 708 | |
| 709 | test "sqrt_f128" { |
| 710 | // sqrt(±0) is ±0 |
| 711 | try std.testing.expectEqual(sqrt_f128(0x0.0p0), 0x0.0p0); |
| 712 | try std.testing.expectEqual(sqrt_f128(-0x0.0p0), -0x0.0p0); |
| 713 | // sqrt(+max) is finite |
| 714 | try std.testing.expectEqual(sqrt_f128(math.floatMax(f128)), 0x1.FFFFFFFFFFFFFFFFFFFFFFFFFFFFp8191); |
| 715 | // sqrt(4)=2 |
| 716 | try std.testing.expectEqual(sqrt_f128(0x1p2), 0x1p1); |
| 717 | // sqrt(x) for x=1, 1±ulp |
| 718 | try std.testing.expectEqual(sqrt_f128(0x1p0), 0x1p0); |
| 719 | try std.testing.expectEqual(sqrt_f128(0x1p0 + math.floatEps(f128)), 0x1p0); |
| 720 | try std.testing.expectEqual(sqrt_f128(0x1p0 - math.floatEps(f128)), 0x1.FFFFFFFFFFFFFFFFFFFFFFFFFFFFp-1); |
| 721 | // sqrt(+min) is non-zero |
| 722 | try std.testing.expectEqual(sqrt_f128(math.floatMin(f128)), 0x1p-8191); |
| 723 | // sqrt(min subnormal) is non-zero |
| 724 | try std.testing.expectEqual(sqrt_f128(math.floatTrueMin(f128)), 0x1p-8247); |
| 725 | // sqrt(inf) is inf |
| 726 | try std.testing.expect(math.isInf(sqrt_f128(math.inf(f128)))); |
| 727 | // sqrt(nan) is nan |
| 728 | try std.testing.expect(math.isNan(sqrt_f128(math.nan(f128)))); |
| 729 | // sqrt(-ve) is nan |
| 730 | try std.testing.expect(math.isNan(sqrt_f128(-0x1p-16442))); |
| 731 | try std.testing.expect(math.isNan(sqrt_f128(-0x1p0))); |
| 732 | try std.testing.expect(math.isNan(sqrt_f128(-math.inf(f128)))); |
| 733 | // random arguments |
| 734 | try std.testing.expectEqual(sqrt_f128(0x1.B6942D29A331751600C9F3AF7E5Fp3363), 0x1.D9DE9AFEF0F2D25586A50CA39D4Dp1681); |
| 735 | try std.testing.expectEqual(sqrt_f128(0x1.5E65C405F84D471A8070ADD7A42Dp11765), 0x1.A78F7F9452B4D9EC2403C81D9D42p5882); |
| 736 | try std.testing.expectEqual(sqrt_f128(0x1.B42334D68F8016D8AE6F5E22B044p-5624), 0x1.4E247A7F2FF2A325E9377BB09C8p-2812); |
| 737 | try std.testing.expectEqual(sqrt_f128(0x1.E61715047F80F2E0B9382B38E06Bp10062), 0x1.60C25D9DFDC0116B78EF5AFDE0E9p5031); |
| 738 | try std.testing.expectEqual(sqrt_f128(0x1.2ED0B53B494CB55A7B04E653D40Ep-1026), 0x1.166CE78D658D2453D700B04C5748p-513); |
| 739 | try std.testing.expectEqual(sqrt_f128(0x1.1BA756B9790E78A4E6F0B083AA89p1835), 0x1.7D1767EA3303DB7A46940033988p917); |
| 740 | try std.testing.expectEqual(sqrt_f128(0x1.5B6C574319C1120335C8E1609704p4512), 0x1.2A3A8A415BB1648C548FBA2A4182p2256); |
| 741 | try std.testing.expectEqual(sqrt_f128(0x1.FF91E8CDEE1552A2B74E77B602Ep14953), 0x1.FFC8F171267D4FE75CBE7AB4D851p7476); |
| 742 | try std.testing.expectEqual(sqrt_f128(0x1.9B1837CFC629A1B6B1BB97099E7Dp2892), 0x1.4468511B909EAF8641BD59105A6Bp1446); |
| 743 | try std.testing.expectEqual(sqrt_f128(0x1.0E2115475E64A92340914E7F7B37p-13951), 0x1.73E536F82F414134012F55BA5368p-6976); |
| 744 | } |