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//===-- lib/divdf3.c - Double-precision division ------------------*- C -*-===// 
// 
//                     The LLVM Compiler Infrastructure 
// 
// This file is dual licensed under the MIT and the University of Illinois Open 
// Source Licenses. See LICENSE.TXT for details. 
// 
//===----------------------------------------------------------------------===// 
// 
// This file implements double-precision soft-float division 
// with the IEEE-754 default rounding (to nearest, ties to even). 
// 
// For simplicity, this implementation currently flushes denormals to zero. 
// It should be a fairly straightforward exercise to implement gradual 
// underflow with correct rounding. 
// 
//===----------------------------------------------------------------------===// 
 
#define DOUBLE_PRECISION 
#include "fp_lib.h" 
 
ARM_EABI_FNALIAS(ddiv, divdf3) 
 
COMPILER_RT_ABI fp_t 
__divdf3(fp_t a, fp_t b) { 
     
    const unsigned int aExponent = toRep(a) >> significandBits & maxExponent; 
    const unsigned int bExponent = toRep(b) >> significandBits & maxExponent; 
    const rep_t quotientSign = (toRep(a) ^ toRep(b)) & signBit; 
     
    rep_t aSignificand = toRep(a) & significandMask; 
    rep_t bSignificand = toRep(b) & significandMask; 
    int scale = 0; 
     
    // Detect if a or b is zero, denormal, infinity, or NaN. 
    if (aExponent-1U >= maxExponent-1U || bExponent-1U >= maxExponent-1U) { 
         
        const rep_t aAbs = toRep(a) & absMask; 
        const rep_t bAbs = toRep(b) & absMask; 
         
        // NaN / anything = qNaN 
        if (aAbs > infRep) return fromRep(toRep(a) | quietBit); 
        // anything / NaN = qNaN 
        if (bAbs > infRep) return fromRep(toRep(b) | quietBit); 
         
        if (aAbs == infRep) { 
            // infinity / infinity = NaN 
            if (bAbs == infRep) return fromRep(qnanRep); 
            // infinity / anything else = +/- infinity 
            else return fromRep(aAbs | quotientSign); 
        } 
         
        // anything else / infinity = +/- 0 
        if (bAbs == infRep) return fromRep(quotientSign); 
         
        if (!aAbs) { 
            // zero / zero = NaN 
            if (!bAbs) return fromRep(qnanRep); 
            // zero / anything else = +/- zero 
            else return fromRep(quotientSign); 
        } 
        // anything else / zero = +/- infinity 
        if (!bAbs) return fromRep(infRep | quotientSign); 
         
        // one or both of a or b is denormal, the other (if applicable) is a 
        // normal number.  Renormalize one or both of a and b, and set scale to 
        // include the necessary exponent adjustment. 
        if (aAbs < implicitBit) scale += normalize(&aSignificand); 
        if (bAbs < implicitBit) scale -= normalize(&bSignificand); 
    } 
     
    // Or in the implicit significand bit.  (If we fell through from the 
    // denormal path it was already set by normalize( ), but setting it twice 
    // won't hurt anything.) 
    aSignificand |= implicitBit; 
    bSignificand |= implicitBit; 
    int quotientExponent = aExponent - bExponent + scale; 
     
    // Align the significand of b as a Q31 fixed-point number in the range 
    // [1, 2.0) and get a Q32 approximate reciprocal using a small minimax 
    // polynomial approximation: reciprocal = 3/4 + 1/sqrt(2) - b/2.  This 
    // is accurate to about 3.5 binary digits. 
    const uint32_t q31b = bSignificand >> 21; 
    uint32_t recip32 = UINT32_C(0x7504f333) - q31b; 
     
    // Now refine the reciprocal estimate using a Newton-Raphson iteration: 
    // 
    //     x1 = x0 * (2 - x0 * b) 
    // 
    // This doubles the number of correct binary digits in the approximation 
    // with each iteration, so after three iterations, we have about 28 binary 
    // digits of accuracy. 
    uint32_t correction32; 
    correction32 = -((uint64_t)recip32 * q31b >> 32); 
    recip32 = (uint64_t)recip32 * correction32 >> 31; 
    correction32 = -((uint64_t)recip32 * q31b >> 32); 
    recip32 = (uint64_t)recip32 * correction32 >> 31; 
    correction32 = -((uint64_t)recip32 * q31b >> 32); 
    recip32 = (uint64_t)recip32 * correction32 >> 31; 
     
    // recip32 might have overflowed to exactly zero in the preceding 
    // computation if the high word of b is exactly 1.0.  This would sabotage 
    // the full-width final stage of the computation that follows, so we adjust 
    // recip32 downward by one bit. 
    recip32--; 
     
    // We need to perform one more iteration to get us to 56 binary digits; 
    // The last iteration needs to happen with extra precision. 
    const uint32_t q63blo = bSignificand << 11; 
    uint64_t correction, reciprocal; 
    correction = -((uint64_t)recip32*q31b + ((uint64_t)recip32*q63blo >> 32)); 
    uint32_t cHi = correction >> 32; 
    uint32_t cLo = correction; 
    reciprocal = (uint64_t)recip32*cHi + ((uint64_t)recip32*cLo >> 32); 
     
    // We already adjusted the 32-bit estimate, now we need to adjust the final 
    // 64-bit reciprocal estimate downward to ensure that it is strictly smaller 
    // than the infinitely precise exact reciprocal.  Because the computation 
    // of the Newton-Raphson step is truncating at every step, this adjustment 
    // is small; most of the work is already done. 
    reciprocal -= 2; 
     
    // The numerical reciprocal is accurate to within 2^-56, lies in the 
    // interval [0.5, 1.0), and is strictly smaller than the true reciprocal 
    // of b.  Multiplying a by this reciprocal thus gives a numerical q = a/b 
    // in Q53 with the following properties: 
    // 
    //    1. q < a/b 
    //    2. q is in the interval [0.5, 2.0) 
    //    3. the error in q is bounded away from 2^-53 (actually, we have a 
    //       couple of bits to spare, but this is all we need). 
     
    // We need a 64 x 64 multiply high to compute q, which isn't a basic 
    // operation in C, so we need to be a little bit fussy. 
    rep_t quotient, quotientLo; 
    wideMultiply(aSignificand << 2, reciprocal, &quotient, &quotientLo); 
     
    // Two cases: quotient is in [0.5, 1.0) or quotient is in [1.0, 2.0). 
    // In either case, we are going to compute a residual of the form 
    // 
    //     r = a - q*b 
    // 
    // We know from the construction of q that r satisfies: 
    // 
    //     0 <= r < ulp(q)*b 
    //  
    // if r is greater than 1/2 ulp(q)*b, then q rounds up.  Otherwise, we 
    // already have the correct result.  The exact halfway case cannot occur. 
    // We also take this time to right shift quotient if it falls in the [1,2) 
    // range and adjust the exponent accordingly. 
    rep_t residual; 
    if (quotient < (implicitBit << 1)) { 
        residual = (aSignificand << 53) - quotient * bSignificand; 
        quotientExponent--; 
    } else { 
        quotient >>= 1; 
        residual = (aSignificand << 52) - quotient * bSignificand; 
    } 
     
    const int writtenExponent = quotientExponent + exponentBias; 
     
    if (writtenExponent >= maxExponent) { 
        // If we have overflowed the exponent, return infinity. 
        return fromRep(infRep | quotientSign); 
    } 
     
    else if (writtenExponent < 1) { 
        // Flush denormals to zero.  In the future, it would be nice to add 
        // code to round them correctly. 
        return fromRep(quotientSign); 
    } 
     
    else { 
        const bool round = (residual << 1) > bSignificand; 
        // Clear the implicit bit 
        rep_t absResult = quotient & significandMask; 
        // Insert the exponent 
        absResult |= (rep_t)writtenExponent << significandBits; 
        // Round 
        absResult += round; 
        // Insert the sign and return 
        const double result = fromRep(absResult | quotientSign); 
        return result; 
    } 
}