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0556a2ba53
Finishes cleanups that I started in other commits in this branch. * Use common.linkage for all exports instead of redoing the logic in each file. * Remove pointless `@setRuntimeSafety` calls. * Avoid redundantly exporting multiple versions of functions. For example, if PPC wants `ceilf128` then don't also export `ceilq`; similarly if ARM wants `__aeabi_ddiv` then don't also export `__divdf3`. * Use `inline` for helper functions instead of making inline calls at callsites.
211 lines
8.3 KiB
Zig
211 lines
8.3 KiB
Zig
//! Ported from:
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//!
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//! https://github.com/llvm/llvm-project/commit/d674d96bc56c0f377879d01c9d8dfdaaa7859cdb/compiler-rt/lib/builtins/divsf3.c
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const std = @import("std");
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const builtin = @import("builtin");
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const arch = builtin.cpu.arch;
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const common = @import("common.zig");
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const normalize = common.normalize;
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pub const panic = common.panic;
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comptime {
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if (common.want_aeabi) {
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@export(__aeabi_fdiv, .{ .name = "__aeabi_fdiv", .linkage = common.linkage });
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} else {
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@export(__divsf3, .{ .name = "__divsf3", .linkage = common.linkage });
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}
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}
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pub fn __divsf3(a: f32, b: f32) callconv(.C) f32 {
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return div(a, b);
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}
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fn __aeabi_fdiv(a: f32, b: f32) callconv(.AAPCS) f32 {
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return div(a, b);
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}
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inline fn div(a: f32, b: f32) f32 {
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const Z = std.meta.Int(.unsigned, 32);
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const significandBits = std.math.floatMantissaBits(f32);
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const exponentBits = std.math.floatExponentBits(f32);
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const signBit = (@as(Z, 1) << (significandBits + exponentBits));
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const maxExponent = ((1 << exponentBits) - 1);
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const exponentBias = (maxExponent >> 1);
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const implicitBit = (@as(Z, 1) << significandBits);
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const quietBit = implicitBit >> 1;
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const significandMask = implicitBit - 1;
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const absMask = signBit - 1;
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const exponentMask = absMask ^ significandMask;
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const qnanRep = exponentMask | quietBit;
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const infRep = @bitCast(Z, std.math.inf(f32));
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const aExponent = @truncate(u32, (@bitCast(Z, a) >> significandBits) & maxExponent);
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const bExponent = @truncate(u32, (@bitCast(Z, b) >> significandBits) & maxExponent);
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const quotientSign: Z = (@bitCast(Z, a) ^ @bitCast(Z, b)) & signBit;
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var aSignificand: Z = @bitCast(Z, a) & significandMask;
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var bSignificand: Z = @bitCast(Z, b) & significandMask;
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var scale: i32 = 0;
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// Detect if a or b is zero, denormal, infinity, or NaN.
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if (aExponent -% 1 >= maxExponent - 1 or bExponent -% 1 >= maxExponent - 1) {
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const aAbs: Z = @bitCast(Z, a) & absMask;
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const bAbs: Z = @bitCast(Z, b) & absMask;
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// NaN / anything = qNaN
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if (aAbs > infRep) return @bitCast(f32, @bitCast(Z, a) | quietBit);
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// anything / NaN = qNaN
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if (bAbs > infRep) return @bitCast(f32, @bitCast(Z, b) | quietBit);
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if (aAbs == infRep) {
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// infinity / infinity = NaN
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if (bAbs == infRep) {
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return @bitCast(f32, qnanRep);
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}
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// infinity / anything else = +/- infinity
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else {
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return @bitCast(f32, aAbs | quotientSign);
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}
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}
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// anything else / infinity = +/- 0
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if (bAbs == infRep) return @bitCast(f32, quotientSign);
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if (aAbs == 0) {
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// zero / zero = NaN
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if (bAbs == 0) {
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return @bitCast(f32, qnanRep);
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}
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// zero / anything else = +/- zero
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else {
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return @bitCast(f32, quotientSign);
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}
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}
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// anything else / zero = +/- infinity
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if (bAbs == 0) return @bitCast(f32, infRep | quotientSign);
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// one or both of a or b is denormal, the other (if applicable) is a
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// normal number. Renormalize one or both of a and b, and set scale to
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// include the necessary exponent adjustment.
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if (aAbs < implicitBit) scale +%= normalize(f32, &aSignificand);
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if (bAbs < implicitBit) scale -%= normalize(f32, &bSignificand);
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}
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// Or in the implicit significand bit. (If we fell through from the
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// denormal path it was already set by normalize( ), but setting it twice
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// won't hurt anything.)
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aSignificand |= implicitBit;
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bSignificand |= implicitBit;
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var quotientExponent: i32 = @bitCast(i32, aExponent -% bExponent) +% scale;
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// Align the significand of b as a Q31 fixed-point number in the range
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// [1, 2.0) and get a Q32 approximate reciprocal using a small minimax
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// polynomial approximation: reciprocal = 3/4 + 1/sqrt(2) - b/2. This
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// is accurate to about 3.5 binary digits.
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const q31b = bSignificand << 8;
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var reciprocal = @as(u32, 0x7504f333) -% q31b;
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// Now refine the reciprocal estimate using a Newton-Raphson iteration:
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//
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// x1 = x0 * (2 - x0 * b)
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//
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// This doubles the number of correct binary digits in the approximation
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// with each iteration, so after three iterations, we have about 28 binary
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// digits of accuracy.
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var correction: u32 = undefined;
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correction = @truncate(u32, ~(@as(u64, reciprocal) *% q31b >> 32) +% 1);
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reciprocal = @truncate(u32, @as(u64, reciprocal) *% correction >> 31);
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correction = @truncate(u32, ~(@as(u64, reciprocal) *% q31b >> 32) +% 1);
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reciprocal = @truncate(u32, @as(u64, reciprocal) *% correction >> 31);
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correction = @truncate(u32, ~(@as(u64, reciprocal) *% q31b >> 32) +% 1);
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reciprocal = @truncate(u32, @as(u64, reciprocal) *% correction >> 31);
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// Exhaustive testing shows that the error in reciprocal after three steps
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// is in the interval [-0x1.f58108p-31, 0x1.d0e48cp-29], in line with our
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// expectations. We bump the reciprocal by a tiny value to force the error
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// to be strictly positive (in the range [0x1.4fdfp-37,0x1.287246p-29], to
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// be specific). This also causes 1/1 to give a sensible approximation
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// instead of zero (due to overflow).
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reciprocal -%= 2;
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// The numerical reciprocal is accurate to within 2^-28, lies in the
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// interval [0x1.000000eep-1, 0x1.fffffffcp-1], and is strictly smaller
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// than the true reciprocal of b. Multiplying a by this reciprocal thus
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// gives a numerical q = a/b in Q24 with the following properties:
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//
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// 1. q < a/b
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// 2. q is in the interval [0x1.000000eep-1, 0x1.fffffffcp0)
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// 3. the error in q is at most 2^-24 + 2^-27 -- the 2^24 term comes
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// from the fact that we truncate the product, and the 2^27 term
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// is the error in the reciprocal of b scaled by the maximum
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// possible value of a. As a consequence of this error bound,
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// either q or nextafter(q) is the correctly rounded
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var quotient: Z = @truncate(u32, @as(u64, reciprocal) *% (aSignificand << 1) >> 32);
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// Two cases: quotient is in [0.5, 1.0) or quotient is in [1.0, 2.0).
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// In either case, we are going to compute a residual of the form
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//
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// r = a - q*b
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//
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// We know from the construction of q that r satisfies:
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//
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// 0 <= r < ulp(q)*b
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//
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// if r is greater than 1/2 ulp(q)*b, then q rounds up. Otherwise, we
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// already have the correct result. The exact halfway case cannot occur.
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// We also take this time to right shift quotient if it falls in the [1,2)
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// range and adjust the exponent accordingly.
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var residual: Z = undefined;
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if (quotient < (implicitBit << 1)) {
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residual = (aSignificand << 24) -% quotient *% bSignificand;
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quotientExponent -%= 1;
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} else {
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quotient >>= 1;
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residual = (aSignificand << 23) -% quotient *% bSignificand;
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}
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const writtenExponent = quotientExponent +% exponentBias;
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if (writtenExponent >= maxExponent) {
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// If we have overflowed the exponent, return infinity.
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return @bitCast(f32, infRep | quotientSign);
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} else if (writtenExponent < 1) {
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if (writtenExponent == 0) {
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// Check whether the rounded result is normal.
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const round = @boolToInt((residual << 1) > bSignificand);
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// Clear the implicit bit.
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var absResult = quotient & significandMask;
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// Round.
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absResult += round;
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if ((absResult & ~significandMask) > 0) {
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// The rounded result is normal; return it.
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return @bitCast(f32, absResult | quotientSign);
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}
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}
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// Flush denormals to zero. In the future, it would be nice to add
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// code to round them correctly.
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return @bitCast(f32, quotientSign);
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} else {
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const round = @boolToInt((residual << 1) > bSignificand);
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// Clear the implicit bit
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var absResult = quotient & significandMask;
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// Insert the exponent
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absResult |= @bitCast(Z, writtenExponent) << significandBits;
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// Round
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absResult +%= round;
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// Insert the sign and return
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return @bitCast(f32, absResult | quotientSign);
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}
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}
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test {
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_ = @import("divsf3_test.zig");
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}
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