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| // Copyright 2010 the V8 project authors. All rights reserved. | |
| // Redistribution and use in source and binary forms, with or without | |
| // modification, are permitted provided that the following conditions are | |
| // met: | |
| // | |
| // * Redistributions of source code must retain the above copyright | |
| // notice, this list of conditions and the following disclaimer. | |
| // * Redistributions in binary form must reproduce the above | |
| // copyright notice, this list of conditions and the following | |
| // disclaimer in the documentation and/or other materials provided | |
| // with the distribution. | |
| // * Neither the name of Google Inc. nor the names of its | |
| // contributors may be used to endorse or promote products derived | |
| // from this software without specific prior written permission. | |
| // | |
| // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS | |
| // "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT | |
| // LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR | |
| // A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT | |
| // OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, | |
| // SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT | |
| // LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, | |
| // DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY | |
| // THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT | |
| // (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE | |
| // OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. | |
| namespace double_conversion { | |
| // 2^53 = 9007199254740992. | |
| // Any integer with at most 15 decimal digits will hence fit into a double | |
| // (which has a 53bit significand) without loss of precision. | |
| static const int kMaxExactDoubleIntegerDecimalDigits = 15; | |
| // 2^64 = 18446744073709551616 > 10^19 | |
| static const int kMaxUint64DecimalDigits = 19; | |
| // Max double: 1.7976931348623157 x 10^308 | |
| // Min non-zero double: 4.9406564584124654 x 10^-324 | |
| // Any x >= 10^309 is interpreted as +infinity. | |
| // Any x <= 10^-324 is interpreted as 0. | |
| // Note that 2.5e-324 (despite being smaller than the min double) will be read | |
| // as non-zero (equal to the min non-zero double). | |
| static const int kMaxDecimalPower = 309; | |
| static const int kMinDecimalPower = -324; | |
| // 2^64 = 18446744073709551616 | |
| static const uint64_t kMaxUint64 = DOUBLE_CONVERSION_UINT64_2PART_C(0xFFFFFFFF, FFFFFFFF); | |
| static const double exact_powers_of_ten[] = { | |
| 1.0, // 10^0 | |
| 10.0, | |
| 100.0, | |
| 1000.0, | |
| 10000.0, | |
| 100000.0, | |
| 1000000.0, | |
| 10000000.0, | |
| 100000000.0, | |
| 1000000000.0, | |
| 10000000000.0, // 10^10 | |
| 100000000000.0, | |
| 1000000000000.0, | |
| 10000000000000.0, | |
| 100000000000000.0, | |
| 1000000000000000.0, | |
| 10000000000000000.0, | |
| 100000000000000000.0, | |
| 1000000000000000000.0, | |
| 10000000000000000000.0, | |
| 100000000000000000000.0, // 10^20 | |
| 1000000000000000000000.0, | |
| // 10^22 = 0x21e19e0c9bab2400000 = 0x878678326eac9 * 2^22 | |
| 10000000000000000000000.0 | |
| }; | |
| static const int kExactPowersOfTenSize = DOUBLE_CONVERSION_ARRAY_SIZE(exact_powers_of_ten); | |
| // Maximum number of significant digits in the decimal representation. | |
| // In fact the value is 772 (see conversions.cc), but to give us some margin | |
| // we round up to 780. | |
| static const int kMaxSignificantDecimalDigits = 780; | |
| static Vector<const char> TrimLeadingZeros(Vector<const char> buffer) { | |
| for (int i = 0; i < buffer.length(); i++) { | |
| if (buffer[i] != '0') { | |
| return buffer.SubVector(i, buffer.length()); | |
| } | |
| } | |
| return Vector<const char>(buffer.start(), 0); | |
| } | |
| static void CutToMaxSignificantDigits(Vector<const char> buffer, | |
| int exponent, | |
| char* significant_buffer, | |
| int* significant_exponent) { | |
| for (int i = 0; i < kMaxSignificantDecimalDigits - 1; ++i) { | |
| significant_buffer[i] = buffer[i]; | |
| } | |
| // The input buffer has been trimmed. Therefore the last digit must be | |
| // different from '0'. | |
| DOUBLE_CONVERSION_ASSERT(buffer[buffer.length() - 1] != '0'); | |
| // Set the last digit to be non-zero. This is sufficient to guarantee | |
| // correct rounding. | |
| significant_buffer[kMaxSignificantDecimalDigits - 1] = '1'; | |
| *significant_exponent = | |
| exponent + (buffer.length() - kMaxSignificantDecimalDigits); | |
| } | |
| // Trims the buffer and cuts it to at most kMaxSignificantDecimalDigits. | |
| // If possible the input-buffer is reused, but if the buffer needs to be | |
| // modified (due to cutting), then the input needs to be copied into the | |
| // buffer_copy_space. | |
| static void TrimAndCut(Vector<const char> buffer, int exponent, | |
| char* buffer_copy_space, int space_size, | |
| Vector<const char>* trimmed, int* updated_exponent) { | |
| Vector<const char> left_trimmed = TrimLeadingZeros(buffer); | |
| Vector<const char> right_trimmed = TrimTrailingZeros(left_trimmed); | |
| exponent += left_trimmed.length() - right_trimmed.length(); | |
| if (right_trimmed.length() > kMaxSignificantDecimalDigits) { | |
| (void) space_size; // Mark variable as used. | |
| DOUBLE_CONVERSION_ASSERT(space_size >= kMaxSignificantDecimalDigits); | |
| CutToMaxSignificantDigits(right_trimmed, exponent, | |
| buffer_copy_space, updated_exponent); | |
| *trimmed = Vector<const char>(buffer_copy_space, | |
| kMaxSignificantDecimalDigits); | |
| } else { | |
| *trimmed = right_trimmed; | |
| *updated_exponent = exponent; | |
| } | |
| } | |
| // Reads digits from the buffer and converts them to a uint64. | |
| // Reads in as many digits as fit into a uint64. | |
| // When the string starts with "1844674407370955161" no further digit is read. | |
| // Since 2^64 = 18446744073709551616 it would still be possible read another | |
| // digit if it was less or equal than 6, but this would complicate the code. | |
| static uint64_t ReadUint64(Vector<const char> buffer, | |
| int* number_of_read_digits) { | |
| uint64_t result = 0; | |
| int i = 0; | |
| while (i < buffer.length() && result <= (kMaxUint64 / 10 - 1)) { | |
| int digit = buffer[i++] - '0'; | |
| DOUBLE_CONVERSION_ASSERT(0 <= digit && digit <= 9); | |
| result = 10 * result + digit; | |
| } | |
| *number_of_read_digits = i; | |
| return result; | |
| } | |
| // Reads a DiyFp from the buffer. | |
| // The returned DiyFp is not necessarily normalized. | |
| // If remaining_decimals is zero then the returned DiyFp is accurate. | |
| // Otherwise it has been rounded and has error of at most 1/2 ulp. | |
| static void ReadDiyFp(Vector<const char> buffer, | |
| DiyFp* result, | |
| int* remaining_decimals) { | |
| int read_digits; | |
| uint64_t significand = ReadUint64(buffer, &read_digits); | |
| if (buffer.length() == read_digits) { | |
| *result = DiyFp(significand, 0); | |
| *remaining_decimals = 0; | |
| } else { | |
| // Round the significand. | |
| if (buffer[read_digits] >= '5') { | |
| significand++; | |
| } | |
| // Compute the binary exponent. | |
| int exponent = 0; | |
| *result = DiyFp(significand, exponent); | |
| *remaining_decimals = buffer.length() - read_digits; | |
| } | |
| } | |
| static bool DoubleStrtod(Vector<const char> trimmed, | |
| int exponent, | |
| double* result) { | |
| // Avoid "unused parameter" warnings | |
| (void) trimmed; | |
| (void) exponent; | |
| (void) result; | |
| // On x86 the floating-point stack can be 64 or 80 bits wide. If it is | |
| // 80 bits wide (as is the case on Linux) then double-rounding occurs and the | |
| // result is not accurate. | |
| // We know that Windows32 uses 64 bits and is therefore accurate. | |
| return false; | |
| if (trimmed.length() <= kMaxExactDoubleIntegerDecimalDigits) { | |
| int read_digits; | |
| // The trimmed input fits into a double. | |
| // If the 10^exponent (resp. 10^-exponent) fits into a double too then we | |
| // can compute the result-double simply by multiplying (resp. dividing) the | |
| // two numbers. | |
| // This is possible because IEEE guarantees that floating-point operations | |
| // return the best possible approximation. | |
| if (exponent < 0 && -exponent < kExactPowersOfTenSize) { | |
| // 10^-exponent fits into a double. | |
| *result = static_cast<double>(ReadUint64(trimmed, &read_digits)); | |
| DOUBLE_CONVERSION_ASSERT(read_digits == trimmed.length()); | |
| *result /= exact_powers_of_ten[-exponent]; | |
| return true; | |
| } | |
| if (0 <= exponent && exponent < kExactPowersOfTenSize) { | |
| // 10^exponent fits into a double. | |
| *result = static_cast<double>(ReadUint64(trimmed, &read_digits)); | |
| DOUBLE_CONVERSION_ASSERT(read_digits == trimmed.length()); | |
| *result *= exact_powers_of_ten[exponent]; | |
| return true; | |
| } | |
| int remaining_digits = | |
| kMaxExactDoubleIntegerDecimalDigits - trimmed.length(); | |
| if ((0 <= exponent) && | |
| (exponent - remaining_digits < kExactPowersOfTenSize)) { | |
| // The trimmed string was short and we can multiply it with | |
| // 10^remaining_digits. As a result the remaining exponent now fits | |
| // into a double too. | |
| *result = static_cast<double>(ReadUint64(trimmed, &read_digits)); | |
| DOUBLE_CONVERSION_ASSERT(read_digits == trimmed.length()); | |
| *result *= exact_powers_of_ten[remaining_digits]; | |
| *result *= exact_powers_of_ten[exponent - remaining_digits]; | |
| return true; | |
| } | |
| } | |
| return false; | |
| } | |
| // Returns 10^exponent as an exact DiyFp. | |
| // The given exponent must be in the range [1; kDecimalExponentDistance[. | |
| static DiyFp AdjustmentPowerOfTen(int exponent) { | |
| DOUBLE_CONVERSION_ASSERT(0 < exponent); | |
| DOUBLE_CONVERSION_ASSERT(exponent < PowersOfTenCache::kDecimalExponentDistance); | |
| // Simply hardcode the remaining powers for the given decimal exponent | |
| // distance. | |
| DOUBLE_CONVERSION_ASSERT(PowersOfTenCache::kDecimalExponentDistance == 8); | |
| switch (exponent) { | |
| case 1: return DiyFp(DOUBLE_CONVERSION_UINT64_2PART_C(0xa0000000, 00000000), -60); | |
| case 2: return DiyFp(DOUBLE_CONVERSION_UINT64_2PART_C(0xc8000000, 00000000), -57); | |
| case 3: return DiyFp(DOUBLE_CONVERSION_UINT64_2PART_C(0xfa000000, 00000000), -54); | |
| case 4: return DiyFp(DOUBLE_CONVERSION_UINT64_2PART_C(0x9c400000, 00000000), -50); | |
| case 5: return DiyFp(DOUBLE_CONVERSION_UINT64_2PART_C(0xc3500000, 00000000), -47); | |
| case 6: return DiyFp(DOUBLE_CONVERSION_UINT64_2PART_C(0xf4240000, 00000000), -44); | |
| case 7: return DiyFp(DOUBLE_CONVERSION_UINT64_2PART_C(0x98968000, 00000000), -40); | |
| default: | |
| DOUBLE_CONVERSION_UNREACHABLE(); | |
| } | |
| } | |
| // If the function returns true then the result is the correct double. | |
| // Otherwise it is either the correct double or the double that is just below | |
| // the correct double. | |
| static bool DiyFpStrtod(Vector<const char> buffer, | |
| int exponent, | |
| double* result) { | |
| DiyFp input; | |
| int remaining_decimals; | |
| ReadDiyFp(buffer, &input, &remaining_decimals); | |
| // Since we may have dropped some digits the input is not accurate. | |
| // If remaining_decimals is different than 0 than the error is at most | |
| // .5 ulp (unit in the last place). | |
| // We don't want to deal with fractions and therefore keep a common | |
| // denominator. | |
| const int kDenominatorLog = 3; | |
| const int kDenominator = 1 << kDenominatorLog; | |
| // Move the remaining decimals into the exponent. | |
| exponent += remaining_decimals; | |
| uint64_t error = (remaining_decimals == 0 ? 0 : kDenominator / 2); | |
| int old_e = input.e(); | |
| input.Normalize(); | |
| error <<= old_e - input.e(); | |
| DOUBLE_CONVERSION_ASSERT(exponent <= PowersOfTenCache::kMaxDecimalExponent); | |
| if (exponent < PowersOfTenCache::kMinDecimalExponent) { | |
| *result = 0.0; | |
| return true; | |
| } | |
| DiyFp cached_power; | |
| int cached_decimal_exponent; | |
| PowersOfTenCache::GetCachedPowerForDecimalExponent(exponent, | |
| &cached_power, | |
| &cached_decimal_exponent); | |
| if (cached_decimal_exponent != exponent) { | |
| int adjustment_exponent = exponent - cached_decimal_exponent; | |
| DiyFp adjustment_power = AdjustmentPowerOfTen(adjustment_exponent); | |
| input.Multiply(adjustment_power); | |
| if (kMaxUint64DecimalDigits - buffer.length() >= adjustment_exponent) { | |
| // The product of input with the adjustment power fits into a 64 bit | |
| // integer. | |
| DOUBLE_CONVERSION_ASSERT(DiyFp::kSignificandSize == 64); | |
| } else { | |
| // The adjustment power is exact. There is hence only an error of 0.5. | |
| error += kDenominator / 2; | |
| } | |
| } | |
| input.Multiply(cached_power); | |
| // The error introduced by a multiplication of a*b equals | |
| // error_a + error_b + error_a*error_b/2^64 + 0.5 | |
| // Substituting a with 'input' and b with 'cached_power' we have | |
| // error_b = 0.5 (all cached powers have an error of less than 0.5 ulp), | |
| // error_ab = 0 or 1 / kDenominator > error_a*error_b/ 2^64 | |
| int error_b = kDenominator / 2; | |
| int error_ab = (error == 0 ? 0 : 1); // We round up to 1. | |
| int fixed_error = kDenominator / 2; | |
| error += error_b + error_ab + fixed_error; | |
| old_e = input.e(); | |
| input.Normalize(); | |
| error <<= old_e - input.e(); | |
| // See if the double's significand changes if we add/subtract the error. | |
| int order_of_magnitude = DiyFp::kSignificandSize + input.e(); | |
| int effective_significand_size = | |
| Double::SignificandSizeForOrderOfMagnitude(order_of_magnitude); | |
| int precision_digits_count = | |
| DiyFp::kSignificandSize - effective_significand_size; | |
| if (precision_digits_count + kDenominatorLog >= DiyFp::kSignificandSize) { | |
| // This can only happen for very small denormals. In this case the | |
| // half-way multiplied by the denominator exceeds the range of an uint64. | |
| // Simply shift everything to the right. | |
| int shift_amount = (precision_digits_count + kDenominatorLog) - | |
| DiyFp::kSignificandSize + 1; | |
| input.set_f(input.f() >> shift_amount); | |
| input.set_e(input.e() + shift_amount); | |
| // We add 1 for the lost precision of error, and kDenominator for | |
| // the lost precision of input.f(). | |
| error = (error >> shift_amount) + 1 + kDenominator; | |
| precision_digits_count -= shift_amount; | |
| } | |
| // We use uint64_ts now. This only works if the DiyFp uses uint64_ts too. | |
| DOUBLE_CONVERSION_ASSERT(DiyFp::kSignificandSize == 64); | |
| DOUBLE_CONVERSION_ASSERT(precision_digits_count < 64); | |
| uint64_t one64 = 1; | |
| uint64_t precision_bits_mask = (one64 << precision_digits_count) - 1; | |
| uint64_t precision_bits = input.f() & precision_bits_mask; | |
| uint64_t half_way = one64 << (precision_digits_count - 1); | |
| precision_bits *= kDenominator; | |
| half_way *= kDenominator; | |
| DiyFp rounded_input(input.f() >> precision_digits_count, | |
| input.e() + precision_digits_count); | |
| if (precision_bits >= half_way + error) { | |
| rounded_input.set_f(rounded_input.f() + 1); | |
| } | |
| // If the last_bits are too close to the half-way case than we are too | |
| // inaccurate and round down. In this case we return false so that we can | |
| // fall back to a more precise algorithm. | |
| *result = Double(rounded_input).value(); | |
| if (half_way - error < precision_bits && precision_bits < half_way + error) { | |
| // Too imprecise. The caller will have to fall back to a slower version. | |
| // However the returned number is guaranteed to be either the correct | |
| // double, or the next-lower double. | |
| return false; | |
| } else { | |
| return true; | |
| } | |
| } | |
| // Returns | |
| // - -1 if buffer*10^exponent < diy_fp. | |
| // - 0 if buffer*10^exponent == diy_fp. | |
| // - +1 if buffer*10^exponent > diy_fp. | |
| // Preconditions: | |
| // buffer.length() + exponent <= kMaxDecimalPower + 1 | |
| // buffer.length() + exponent > kMinDecimalPower | |
| // buffer.length() <= kMaxDecimalSignificantDigits | |
| static int CompareBufferWithDiyFp(Vector<const char> buffer, | |
| int exponent, | |
| DiyFp diy_fp) { | |
| DOUBLE_CONVERSION_ASSERT(buffer.length() + exponent <= kMaxDecimalPower + 1); | |
| DOUBLE_CONVERSION_ASSERT(buffer.length() + exponent > kMinDecimalPower); | |
| DOUBLE_CONVERSION_ASSERT(buffer.length() <= kMaxSignificantDecimalDigits); | |
| // Make sure that the Bignum will be able to hold all our numbers. | |
| // Our Bignum implementation has a separate field for exponents. Shifts will | |
| // consume at most one bigit (< 64 bits). | |
| // ln(10) == 3.3219... | |
| DOUBLE_CONVERSION_ASSERT(((kMaxDecimalPower + 1) * 333 / 100) < Bignum::kMaxSignificantBits); | |
| Bignum buffer_bignum; | |
| Bignum diy_fp_bignum; | |
| buffer_bignum.AssignDecimalString(buffer); | |
| diy_fp_bignum.AssignUInt64(diy_fp.f()); | |
| if (exponent >= 0) { | |
| buffer_bignum.MultiplyByPowerOfTen(exponent); | |
| } else { | |
| diy_fp_bignum.MultiplyByPowerOfTen(-exponent); | |
| } | |
| if (diy_fp.e() > 0) { | |
| diy_fp_bignum.ShiftLeft(diy_fp.e()); | |
| } else { | |
| buffer_bignum.ShiftLeft(-diy_fp.e()); | |
| } | |
| return Bignum::Compare(buffer_bignum, diy_fp_bignum); | |
| } | |
| // Returns true if the guess is the correct double. | |
| // Returns false, when guess is either correct or the next-lower double. | |
| static bool ComputeGuess(Vector<const char> trimmed, int exponent, | |
| double* guess) { | |
| if (trimmed.length() == 0) { | |
| *guess = 0.0; | |
| return true; | |
| } | |
| if (exponent + trimmed.length() - 1 >= kMaxDecimalPower) { | |
| *guess = Double::Infinity(); | |
| return true; | |
| } | |
| if (exponent + trimmed.length() <= kMinDecimalPower) { | |
| *guess = 0.0; | |
| return true; | |
| } | |
| if (DoubleStrtod(trimmed, exponent, guess) || | |
| DiyFpStrtod(trimmed, exponent, guess)) { | |
| return true; | |
| } | |
| if (*guess == Double::Infinity()) { | |
| return true; | |
| } | |
| return false; | |
| } | |
| static bool IsDigit(const char d) { | |
| return ('0' <= d) && (d <= '9'); | |
| } | |
| static bool IsNonZeroDigit(const char d) { | |
| return ('1' <= d) && (d <= '9'); | |
| } | |
| [[maybe_unused]] | |
| static bool AssertTrimmedDigits(const Vector<const char>& buffer) { | |
| for(int i = 0; i < buffer.length(); ++i) { | |
| if(!IsDigit(buffer[i])) { | |
| return false; | |
| } | |
| } | |
| return (buffer.length() == 0) || (IsNonZeroDigit(buffer[0]) && IsNonZeroDigit(buffer[buffer.length()-1])); | |
| } | |
| double StrtodTrimmed(Vector<const char> trimmed, int exponent) { | |
| DOUBLE_CONVERSION_ASSERT(trimmed.length() <= kMaxSignificantDecimalDigits); | |
| DOUBLE_CONVERSION_ASSERT(AssertTrimmedDigits(trimmed)); | |
| double guess; | |
| const bool is_correct = ComputeGuess(trimmed, exponent, &guess); | |
| if (is_correct) { | |
| return guess; | |
| } | |
| DiyFp upper_boundary = Double(guess).UpperBoundary(); | |
| int comparison = CompareBufferWithDiyFp(trimmed, exponent, upper_boundary); | |
| if (comparison < 0) { | |
| return guess; | |
| } else if (comparison > 0) { | |
| return Double(guess).NextDouble(); | |
| } else if ((Double(guess).Significand() & 1) == 0) { | |
| // Round towards even. | |
| return guess; | |
| } else { | |
| return Double(guess).NextDouble(); | |
| } | |
| } | |
| double Strtod(Vector<const char> buffer, int exponent) { | |
| char copy_buffer[kMaxSignificantDecimalDigits]; | |
| Vector<const char> trimmed; | |
| int updated_exponent; | |
| TrimAndCut(buffer, exponent, copy_buffer, kMaxSignificantDecimalDigits, | |
| &trimmed, &updated_exponent); | |
| return StrtodTrimmed(trimmed, updated_exponent); | |
| } | |
| static float SanitizedDoubletof(double d) { | |
| DOUBLE_CONVERSION_ASSERT(d >= 0.0); | |
| // ASAN has a sanitize check that disallows casting doubles to floats if | |
| // they are too big. | |
| // https://clang.llvm.org/docs/UndefinedBehaviorSanitizer.html#available-checks | |
| // The behavior should be covered by IEEE 754, but some projects use this | |
| // flag, so work around it. | |
| float max_finite = 3.4028234663852885981170418348451692544e+38; | |
| // The half-way point between the max-finite and infinity value. | |
| // Since infinity has an even significand everything equal or greater than | |
| // this value should become infinity. | |
| double half_max_finite_infinity = | |
| 3.40282356779733661637539395458142568448e+38; | |
| if (d >= max_finite) { | |
| if (d >= half_max_finite_infinity) { | |
| return Single::Infinity(); | |
| } else { | |
| return max_finite; | |
| } | |
| } else { | |
| return static_cast<float>(d); | |
| } | |
| } | |
| float Strtof(Vector<const char> buffer, int exponent) { | |
| char copy_buffer[kMaxSignificantDecimalDigits]; | |
| Vector<const char> trimmed; | |
| int updated_exponent; | |
| TrimAndCut(buffer, exponent, copy_buffer, kMaxSignificantDecimalDigits, | |
| &trimmed, &updated_exponent); | |
| exponent = updated_exponent; | |
| return StrtofTrimmed(trimmed, exponent); | |
| } | |
| float StrtofTrimmed(Vector<const char> trimmed, int exponent) { | |
| DOUBLE_CONVERSION_ASSERT(trimmed.length() <= kMaxSignificantDecimalDigits); | |
| DOUBLE_CONVERSION_ASSERT(AssertTrimmedDigits(trimmed)); | |
| double double_guess; | |
| bool is_correct = ComputeGuess(trimmed, exponent, &double_guess); | |
| float float_guess = SanitizedDoubletof(double_guess); | |
| if (float_guess == double_guess) { | |
| // This shortcut triggers for integer values. | |
| return float_guess; | |
| } | |
| // We must catch double-rounding. Say the double has been rounded up, and is | |
| // now a boundary of a float, and rounds up again. This is why we have to | |
| // look at previous too. | |
| // Example (in decimal numbers): | |
| // input: 12349 | |
| // high-precision (4 digits): 1235 | |
| // low-precision (3 digits): | |
| // when read from input: 123 | |
| // when rounded from high precision: 124. | |
| // To do this we simply look at the neighbors of the correct result and see | |
| // if they would round to the same float. If the guess is not correct we have | |
| // to look at four values (since two different doubles could be the correct | |
| // double). | |
| double double_next = Double(double_guess).NextDouble(); | |
| double double_previous = Double(double_guess).PreviousDouble(); | |
| float f1 = SanitizedDoubletof(double_previous); | |
| float f2 = float_guess; | |
| float f3 = SanitizedDoubletof(double_next); | |
| float f4; | |
| if (is_correct) { | |
| f4 = f3; | |
| } else { | |
| double double_next2 = Double(double_next).NextDouble(); | |
| f4 = SanitizedDoubletof(double_next2); | |
| } | |
| (void) f2; // Mark variable as used. | |
| DOUBLE_CONVERSION_ASSERT(f1 <= f2 && f2 <= f3 && f3 <= f4); | |
| // If the guess doesn't lie near a single-precision boundary we can simply | |
| // return its float-value. | |
| if (f1 == f4) { | |
| return float_guess; | |
| } | |
| DOUBLE_CONVERSION_ASSERT((f1 != f2 && f2 == f3 && f3 == f4) || | |
| (f1 == f2 && f2 != f3 && f3 == f4) || | |
| (f1 == f2 && f2 == f3 && f3 != f4)); | |
| // guess and next are the two possible candidates (in the same way that | |
| // double_guess was the lower candidate for a double-precision guess). | |
| float guess = f1; | |
| float next = f4; | |
| DiyFp upper_boundary; | |
| if (guess == 0.0f) { | |
| float min_float = 1e-45f; | |
| upper_boundary = Double(static_cast<double>(min_float) / 2).AsDiyFp(); | |
| } else { | |
| upper_boundary = Single(guess).UpperBoundary(); | |
| } | |
| int comparison = CompareBufferWithDiyFp(trimmed, exponent, upper_boundary); | |
| if (comparison < 0) { | |
| return guess; | |
| } else if (comparison > 0) { | |
| return next; | |
| } else if ((Single(guess).Significand() & 1) == 0) { | |
| // Round towards even. | |
| return guess; | |
| } else { | |
| return next; | |
| } | |
| } | |
| } // namespace double_conversion | |