示例#1
0
文件: DiyFp.cs 项目: rotanov/Yuzu
        // Returns a - b.
        // The exponents of both numbers must be the same and this must be bigger
        // than other. The result will not be normalized.
        public static DiyFp Minus(ref DiyFp a, ref DiyFp b)
        {
            DiyFp result = a;

            result.Subtract(ref b);
            return(result);
        }
示例#2
0
文件: Grisu.cs 项目: klenin/Yuzu
        // Generates the digits of input number w.
        // w is a floating-point number (DiyFp), consisting of a significand and an
        // exponent. Its exponent is bounded by kMinimalTargetExponent and
        // kMaximalTargetExponent.
        //       Hence -60 <= w.e() <= -32.
        //
        // Returns false if it fails, in which case the generated digits in the buffer
        // should not be used.
        // Preconditions:
        //  * low, w and high are correct up to 1 ulp (unit in the last place). That
        //    is, their error must be less than a unit of their last digits.
        //  * low.e() == w.e() == high.e()
        //  * low < w < high, and taking into account their error: low~ <= high~
        //  * kMinimalTargetExponent <= w.e() <= kMaximalTargetExponent
        // Postconditions: returns false if procedure fails.
        //   otherwise:
        //     * buffer is not null-terminated, but len contains the number of digits.
        //     * buffer contains the shortest possible decimal digit-sequence
        //       such that LOW < buffer * 10^kappa < HIGH, where LOW and HIGH are the
        //       correct values of low and high (without their error).
        //     * if more than one decimal representation gives the minimal number of
        //       decimal digits then the one closest to W (where W is the correct value
        //       of w) is chosen.
        // Remark: this procedure takes into account the imprecision of its input
        //   numbers. If the precision is not enough to guarantee all the postconditions
        //   then false is returned. This usually happens rarely (~0.5%).
        //
        // Say, for the sake of example, that
        //   w.e() == -48, and w.f() == 0x1234567890abcdef
        // w's value can be computed by w.f() * 2^w.e()
        // We can obtain w's integral digits by simply shifting w.f() by -w.e().
        //  -> w's integral part is 0x1234
        //  w's fractional part is therefore 0x567890abcdef.
        // Printing w's integral part is easy (simply print 0x1234 in decimal).
        // In order to print its fraction we repeatedly multiply the fraction by 10 and
        // get each digit. Example the first digit after the point would be computed by
        //   (0x567890abcdef * 10) >> 48. -> 3
        // The whole thing becomes slightly more complicated because we want to stop
        // once we have enough digits. That is, once the digits inside the buffer
        // represent 'w' we can stop. Everything inside the interval low - high
        // represents w. However we have to pay attention to low, high and w's
        // imprecision.
        private static bool DigitGen(ref DiyFp low,
                             ref DiyFp w,
                             ref DiyFp high,
                             byte[] buffer,
                             out int length,
                             out int kappa)
        {
            Debug.Assert(low.E == w.E && w.E == high.E);
            Debug.Assert(low.F + 1 <= high.F - 1);
            Debug.Assert(kMinimalTargetExponent <= w.E && w.E <= kMaximalTargetExponent);
            // low, w and high are imprecise, but by less than one ulp (unit in the last
            // place).
            // If we remove (resp. add) 1 ulp from low (resp. high) we are certain that
            // the new numbers are outside of the interval we want the final
            // representation to lie in.
            // Inversely adding (resp. removing) 1 ulp from low (resp. high) would yield
            // numbers that are certain to lie in the interval. We will use this fact
            // later on.
            // We will now start by generating the digits within the uncertain
            // interval. Later we will weed out representations that lie outside the safe
            // interval and thus _might_ lie outside the correct interval.
            ulong unit = 1;
            DiyFp too_low = new DiyFp(low.F - unit, low.E);
            DiyFp too_high = new DiyFp(high.F + unit, high.E);
            // too_low and too_high are guaranteed to lie outside the interval we want the
            // generated number in.
            DiyFp unsafe_interval = DiyFp.Minus(ref too_high, ref too_low);
            // We now cut the input number into two parts: the integral digits and the
            // fractionals. We will not write any decimal separator though, but adapt
            // kappa instead.
            // Reminder: we are currently computing the digits (stored inside the buffer)
            // such that:   too_low < buffer * 10^kappa < too_high
            // We use too_high for the digit_generation and stop as soon as possible.
            // If we stop early we effectively round down.
            DiyFp one = new DiyFp((ulong)(1) << -w.E, w.E);
            // Division by one is a shift.
            uint integrals = (uint)(too_high.F >> -one.E);
            // Modulo by one is an and.
            ulong fractionals = too_high.F & (one.F - 1);
            uint divisor;
            int divisor_exponent_plus_one;
            BiggestPowerTen(integrals, DiyFp.kSignificandSize - (-one.E),
                            out divisor, out divisor_exponent_plus_one);
            kappa = divisor_exponent_plus_one;
            length = 0;
            // Loop invariant: buffer = too_high / 10^kappa  (integer division)
            // The invariant holds for the first iteration: kappa has been initialized
            // with the divisor exponent + 1. And the divisor is the biggest power of ten
            // that is smaller than integrals.
            ulong unsafeIntervalF = unsafe_interval.F;
            while (kappa > 0)
            {
                var digit = integrals / divisor;
                buffer[length] = (byte)((uint)'0' + digit);
                ++length;
                integrals -= digit * divisor;
                kappa--;
                // Note that kappa now equals the exponent of the divisor and that the
                // invariant thus holds again.
                ulong rest =
                    ((ulong)(integrals) << -one.E) + fractionals;
                // Invariant: too_high = buffer * 10^kappa + DiyFp(rest, one.e())
                // Reminder: unsafe_interval.e() == one.e()
                if (rest < unsafeIntervalF)
                {
                    // Rounding down (by not emitting the remaining digits) yields a number
                    // that lies within the unsafe interval.
                    too_high.Subtract(ref w);
                    return RoundWeed(buffer, length, too_high.F,
                                     unsafeIntervalF, rest,
                                     (ulong)(divisor) << -one.E, unit);
                }
                divisor = kSmallPowersOfTen[kappa];
            }

            // The integrals have been generated. We are at the point of the decimal
            // separator. In the following loop we simply multiply the remaining digits by
            // 10 and divide by one. We just need to pay attention to multiply associated
            // data (like the interval or 'unit'), too.
            // Note that the multiplication by 10 does not overflow, because w.e >= -60
            // and thus one.e >= -60.
            Debug.Assert(one.E >= -60);
            Debug.Assert(fractionals < one.F);
            Debug.Assert(0xFFFFFFFFFFFFFFFF / 10 >= one.F);
            int unitPower = 0;
            while (true)
            {
                //fractionals *= 10;
                //unit *= 10;
                //unsafeIntervalF *= 10;
                fractionals = (fractionals << 3) + (fractionals << 1);
                unitPower++;
                unsafeIntervalF = (unsafeIntervalF << 3) + (unsafeIntervalF << 1);
                // Integer division by one.
                int digit = (int)(fractionals >> -one.E);
                buffer[length] = (byte)((int)'0' + digit);
                ++length;
                fractionals &= one.F - 1;  // Modulo by one.
                kappa--;
                if (fractionals < unsafeIntervalF)
                {
                    unit = PowersOfTenCache.PowersOfTen[unitPower];
                    too_high.Subtract(ref w);
                    return RoundWeed(buffer, length, too_high.F * unit,
                                     unsafeIntervalF, fractionals, one.F, unit);
                }
            }
        }
示例#3
0
文件: Grisu.cs 项目: rotanov/Yuzu
        // Generates the digits of input number w.
        // w is a floating-point number (DiyFp), consisting of a significand and an
        // exponent. Its exponent is bounded by kMinimalTargetExponent and
        // kMaximalTargetExponent.
        //       Hence -60 <= w.e() <= -32.
        //
        // Returns false if it fails, in which case the generated digits in the buffer
        // should not be used.
        // Preconditions:
        //  * low, w and high are correct up to 1 ulp (unit in the last place). That
        //    is, their error must be less than a unit of their last digits.
        //  * low.e() == w.e() == high.e()
        //  * low < w < high, and taking into account their error: low~ <= high~
        //  * kMinimalTargetExponent <= w.e() <= kMaximalTargetExponent
        // Postconditions: returns false if procedure fails.
        //   otherwise:
        //     * buffer is not null-terminated, but len contains the number of digits.
        //     * buffer contains the shortest possible decimal digit-sequence
        //       such that LOW < buffer * 10^kappa < HIGH, where LOW and HIGH are the
        //       correct values of low and high (without their error).
        //     * if more than one decimal representation gives the minimal number of
        //       decimal digits then the one closest to W (where W is the correct value
        //       of w) is chosen.
        // Remark: this procedure takes into account the imprecision of its input
        //   numbers. If the precision is not enough to guarantee all the postconditions
        //   then false is returned. This usually happens rarely (~0.5%).
        //
        // Say, for the sake of example, that
        //   w.e() == -48, and w.f() == 0x1234567890abcdef
        // w's value can be computed by w.f() * 2^w.e()
        // We can obtain w's integral digits by simply shifting w.f() by -w.e().
        //  -> w's integral part is 0x1234
        //  w's fractional part is therefore 0x567890abcdef.
        // Printing w's integral part is easy (simply print 0x1234 in decimal).
        // In order to print its fraction we repeatedly multiply the fraction by 10 and
        // get each digit. Example the first digit after the point would be computed by
        //   (0x567890abcdef * 10) >> 48. -> 3
        // The whole thing becomes slightly more complicated because we want to stop
        // once we have enough digits. That is, once the digits inside the buffer
        // represent 'w' we can stop. Everything inside the interval low - high
        // represents w. However we have to pay attention to low, high and w's
        // imprecision.
        private static bool DigitGen(ref DiyFp low,
                                     ref DiyFp w,
                                     ref DiyFp high,
                                     byte[] buffer,
                                     out int length,
                                     out int kappa)
        {
            Debug.Assert(low.E == w.E && w.E == high.E);
            Debug.Assert(low.F + 1 <= high.F - 1);
            Debug.Assert(kMinimalTargetExponent <= w.E && w.E <= kMaximalTargetExponent);
            // low, w and high are imprecise, but by less than one ulp (unit in the last
            // place).
            // If we remove (resp. add) 1 ulp from low (resp. high) we are certain that
            // the new numbers are outside of the interval we want the final
            // representation to lie in.
            // Inversely adding (resp. removing) 1 ulp from low (resp. high) would yield
            // numbers that are certain to lie in the interval. We will use this fact
            // later on.
            // We will now start by generating the digits within the uncertain
            // interval. Later we will weed out representations that lie outside the safe
            // interval and thus _might_ lie outside the correct interval.
            ulong unit     = 1;
            DiyFp too_low  = new DiyFp(low.F - unit, low.E);
            DiyFp too_high = new DiyFp(high.F + unit, high.E);
            // too_low and too_high are guaranteed to lie outside the interval we want the
            // generated number in.
            DiyFp unsafe_interval = DiyFp.Minus(ref too_high, ref too_low);
            // We now cut the input number into two parts: the integral digits and the
            // fractionals. We will not write any decimal separator though, but adapt
            // kappa instead.
            // Reminder: we are currently computing the digits (stored inside the buffer)
            // such that:   too_low < buffer * 10^kappa < too_high
            // We use too_high for the digit_generation and stop as soon as possible.
            // If we stop early we effectively round down.
            DiyFp one = new DiyFp((ulong)(1) << -w.E, w.E);
            // Division by one is a shift.
            uint integrals = (uint)(too_high.F >> -one.E);
            // Modulo by one is an and.
            ulong fractionals = too_high.F & (one.F - 1);
            uint  divisor;
            int   divisor_exponent_plus_one;

            BiggestPowerTen(integrals, DiyFp.kSignificandSize - (-one.E),
                            out divisor, out divisor_exponent_plus_one);
            kappa  = divisor_exponent_plus_one;
            length = 0;
            // Loop invariant: buffer = too_high / 10^kappa  (integer division)
            // The invariant holds for the first iteration: kappa has been initialized
            // with the divisor exponent + 1. And the divisor is the biggest power of ten
            // that is smaller than integrals.
            ulong unsafeIntervalF = unsafe_interval.F;

            while (kappa > 0)
            {
                var digit = integrals / divisor;
                buffer[length] = (byte)((uint)'0' + digit);
                ++length;
                integrals -= digit * divisor;
                kappa--;
                // Note that kappa now equals the exponent of the divisor and that the
                // invariant thus holds again.
                ulong rest =
                    ((ulong)(integrals) << -one.E) + fractionals;
                // Invariant: too_high = buffer * 10^kappa + DiyFp(rest, one.e())
                // Reminder: unsafe_interval.e() == one.e()
                if (rest < unsafeIntervalF)
                {
                    // Rounding down (by not emitting the remaining digits) yields a number
                    // that lies within the unsafe interval.
                    too_high.Subtract(ref w);
                    return(RoundWeed(buffer, length, too_high.F,
                                     unsafeIntervalF, rest,
                                     (ulong)(divisor) << -one.E, unit));
                }
                divisor = kSmallPowersOfTen[kappa];
            }

            // The integrals have been generated. We are at the point of the decimal
            // separator. In the following loop we simply multiply the remaining digits by
            // 10 and divide by one. We just need to pay attention to multiply associated
            // data (like the interval or 'unit'), too.
            // Note that the multiplication by 10 does not overflow, because w.e >= -60
            // and thus one.e >= -60.
            Debug.Assert(one.E >= -60);
            Debug.Assert(fractionals < one.F);
            Debug.Assert(0xFFFFFFFFFFFFFFFF / 10 >= one.F);
            int unitPower = 0;

            while (true)
            {
                //fractionals *= 10;
                //unit *= 10;
                //unsafeIntervalF *= 10;
                fractionals = (fractionals << 3) + (fractionals << 1);
                unitPower++;
                unsafeIntervalF = (unsafeIntervalF << 3) + (unsafeIntervalF << 1);
                // Integer division by one.
                int digit = (int)(fractionals >> -one.E);
                buffer[length] = (byte)((int)'0' + digit);
                ++length;
                fractionals &= one.F - 1;  // Modulo by one.
                kappa--;
                if (fractionals < unsafeIntervalF)
                {
                    unit = PowersOfTenCache.PowersOfTen[unitPower];
                    too_high.Subtract(ref w);
                    return(RoundWeed(buffer, length, too_high.F * unit,
                                     unsafeIntervalF, fractionals, one.F, unit));
                }
            }
        }