tor-browser

The Tor Browser
git clone https://git.dasho.dev/tor-browser.git
Log | Files | Refs | README | LICENSE

double-conversion-fast-dtoa.cpp (32210B)


      1 // © 2018 and later: Unicode, Inc. and others.
      2 // License & terms of use: http://www.unicode.org/copyright.html
      3 //
      4 // From the double-conversion library. Original license:
      5 //
      6 // Copyright 2012 the V8 project authors. All rights reserved.
      7 // Redistribution and use in source and binary forms, with or without
      8 // modification, are permitted provided that the following conditions are
      9 // met:
     10 //
     11 //     * Redistributions of source code must retain the above copyright
     12 //       notice, this list of conditions and the following disclaimer.
     13 //     * Redistributions in binary form must reproduce the above
     14 //       copyright notice, this list of conditions and the following
     15 //       disclaimer in the documentation and/or other materials provided
     16 //       with the distribution.
     17 //     * Neither the name of Google Inc. nor the names of its
     18 //       contributors may be used to endorse or promote products derived
     19 //       from this software without specific prior written permission.
     20 //
     21 // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
     22 // "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
     23 // LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
     24 // A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
     25 // OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
     26 // SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
     27 // LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
     28 // DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
     29 // THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
     30 // (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
     31 // OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
     32 
     33 // ICU PATCH: ifdef around UCONFIG_NO_FORMATTING
     34 #include "unicode/utypes.h"
     35 #if !UCONFIG_NO_FORMATTING
     36 
     37 // ICU PATCH: Customize header file paths for ICU.
     38 
     39 #include "double-conversion-fast-dtoa.h"
     40 
     41 #include "double-conversion-cached-powers.h"
     42 #include "double-conversion-diy-fp.h"
     43 #include "double-conversion-ieee.h"
     44 
     45 // ICU PATCH: Wrap in ICU namespace
     46 U_NAMESPACE_BEGIN
     47 
     48 namespace double_conversion {
     49 
     50 // The minimal and maximal target exponent define the range of w's binary
     51 // exponent, where 'w' is the result of multiplying the input by a cached power
     52 // of ten.
     53 //
     54 // A different range might be chosen on a different platform, to optimize digit
     55 // generation, but a smaller range requires more powers of ten to be cached.
     56 static const int kMinimalTargetExponent = -60;
     57 static const int kMaximalTargetExponent = -32;
     58 
     59 
     60 // Adjusts the last digit of the generated number, and screens out generated
     61 // solutions that may be inaccurate. A solution may be inaccurate if it is
     62 // outside the safe interval, or if we cannot prove that it is closer to the
     63 // input than a neighboring representation of the same length.
     64 //
     65 // Input: * buffer containing the digits of too_high / 10^kappa
     66 //        * the buffer's length
     67 //        * distance_too_high_w == (too_high - w).f() * unit
     68 //        * unsafe_interval == (too_high - too_low).f() * unit
     69 //        * rest = (too_high - buffer * 10^kappa).f() * unit
     70 //        * ten_kappa = 10^kappa * unit
     71 //        * unit = the common multiplier
     72 // Output: returns true if the buffer is guaranteed to contain the closest
     73 //    representable number to the input.
     74 //  Modifies the generated digits in the buffer to approach (round towards) w.
     75 static bool RoundWeed(Vector<char> buffer,
     76                      int length,
     77                      uint64_t distance_too_high_w,
     78                      uint64_t unsafe_interval,
     79                      uint64_t rest,
     80                      uint64_t ten_kappa,
     81                      uint64_t unit) {
     82  uint64_t small_distance = distance_too_high_w - unit;
     83  uint64_t big_distance = distance_too_high_w + unit;
     84  // Let w_low  = too_high - big_distance, and
     85  //     w_high = too_high - small_distance.
     86  // Note: w_low < w < w_high
     87  //
     88  // The real w (* unit) must lie somewhere inside the interval
     89  // ]w_low; w_high[ (often written as "(w_low; w_high)")
     90 
     91  // Basically the buffer currently contains a number in the unsafe interval
     92  // ]too_low; too_high[ with too_low < w < too_high
     93  //
     94  //  too_high - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
     95  //                     ^v 1 unit            ^      ^                 ^      ^
     96  //  boundary_high ---------------------     .      .                 .      .
     97  //                     ^v 1 unit            .      .                 .      .
     98  //   - - - - - - - - - - - - - - - - - - -  +  - - + - - - - - -     .      .
     99  //                                          .      .         ^       .      .
    100  //                                          .  big_distance  .       .      .
    101  //                                          .      .         .       .    rest
    102  //                              small_distance     .         .       .      .
    103  //                                          v      .         .       .      .
    104  //  w_high - - - - - - - - - - - - - - - - - -     .         .       .      .
    105  //                     ^v 1 unit                   .         .       .      .
    106  //  w ----------------------------------------     .         .       .      .
    107  //                     ^v 1 unit                   v         .       .      .
    108  //  w_low  - - - - - - - - - - - - - - - - - - - - -         .       .      .
    109  //                                                           .       .      v
    110  //  buffer --------------------------------------------------+-------+--------
    111  //                                                           .       .
    112  //                                                  safe_interval    .
    113  //                                                           v       .
    114  //   - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -     .
    115  //                     ^v 1 unit                                     .
    116  //  boundary_low -------------------------                     unsafe_interval
    117  //                     ^v 1 unit                                     v
    118  //  too_low  - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    119  //
    120  //
    121  // Note that the value of buffer could lie anywhere inside the range too_low
    122  // to too_high.
    123  //
    124  // boundary_low, boundary_high and w are approximations of the real boundaries
    125  // and v (the input number). They are guaranteed to be precise up to one unit.
    126  // In fact the error is guaranteed to be strictly less than one unit.
    127  //
    128  // Anything that lies outside the unsafe interval is guaranteed not to round
    129  // to v when read again.
    130  // Anything that lies inside the safe interval is guaranteed to round to v
    131  // when read again.
    132  // If the number inside the buffer lies inside the unsafe interval but not
    133  // inside the safe interval then we simply do not know and bail out (returning
    134  // false).
    135  //
    136  // Similarly we have to take into account the imprecision of 'w' when finding
    137  // the closest representation of 'w'. If we have two potential
    138  // representations, and one is closer to both w_low and w_high, then we know
    139  // it is closer to the actual value v.
    140  //
    141  // By generating the digits of too_high we got the largest (closest to
    142  // too_high) buffer that is still in the unsafe interval. In the case where
    143  // w_high < buffer < too_high we try to decrement the buffer.
    144  // This way the buffer approaches (rounds towards) w.
    145  // There are 3 conditions that stop the decrementation process:
    146  //   1) the buffer is already below w_high
    147  //   2) decrementing the buffer would make it leave the unsafe interval
    148  //   3) decrementing the buffer would yield a number below w_high and farther
    149  //      away than the current number. In other words:
    150  //              (buffer{-1} < w_high) && w_high - buffer{-1} > buffer - w_high
    151  // Instead of using the buffer directly we use its distance to too_high.
    152  // Conceptually rest ~= too_high - buffer
    153  // We need to do the following tests in this order to avoid over- and
    154  // underflows.
    155  DOUBLE_CONVERSION_ASSERT(rest <= unsafe_interval);
    156  while (rest < small_distance &&  // Negated condition 1
    157         unsafe_interval - rest >= ten_kappa &&  // Negated condition 2
    158         (rest + ten_kappa < small_distance ||  // buffer{-1} > w_high
    159          small_distance - rest >= rest + ten_kappa - small_distance)) {
    160    buffer[length - 1]--;
    161    rest += ten_kappa;
    162  }
    163 
    164  // We have approached w+ as much as possible. We now test if approaching w-
    165  // would require changing the buffer. If yes, then we have two possible
    166  // representations close to w, but we cannot decide which one is closer.
    167  if (rest < big_distance &&
    168      unsafe_interval - rest >= ten_kappa &&
    169      (rest + ten_kappa < big_distance ||
    170       big_distance - rest > rest + ten_kappa - big_distance)) {
    171    return false;
    172  }
    173 
    174  // Weeding test.
    175  //   The safe interval is [too_low + 2 ulp; too_high - 2 ulp]
    176  //   Since too_low = too_high - unsafe_interval this is equivalent to
    177  //      [too_high - unsafe_interval + 4 ulp; too_high - 2 ulp]
    178  //   Conceptually we have: rest ~= too_high - buffer
    179  return (2 * unit <= rest) && (rest <= unsafe_interval - 4 * unit);
    180 }
    181 
    182 
    183 // Rounds the buffer upwards if the result is closer to v by possibly adding
    184 // 1 to the buffer. If the precision of the calculation is not sufficient to
    185 // round correctly, return false.
    186 // The rounding might shift the whole buffer in which case the kappa is
    187 // adjusted. For example "99", kappa = 3 might become "10", kappa = 4.
    188 //
    189 // If 2*rest > ten_kappa then the buffer needs to be round up.
    190 // rest can have an error of +/- 1 unit. This function accounts for the
    191 // imprecision and returns false, if the rounding direction cannot be
    192 // unambiguously determined.
    193 //
    194 // Precondition: rest < ten_kappa.
    195 static bool RoundWeedCounted(Vector<char> buffer,
    196                             int length,
    197                             uint64_t rest,
    198                             uint64_t ten_kappa,
    199                             uint64_t unit,
    200                             int* kappa) {
    201  DOUBLE_CONVERSION_ASSERT(rest < ten_kappa);
    202  // The following tests are done in a specific order to avoid overflows. They
    203  // will work correctly with any uint64 values of rest < ten_kappa and unit.
    204  //
    205  // If the unit is too big, then we don't know which way to round. For example
    206  // a unit of 50 means that the real number lies within rest +/- 50. If
    207  // 10^kappa == 40 then there is no way to tell which way to round.
    208  if (unit >= ten_kappa) return false;
    209  // Even if unit is just half the size of 10^kappa we are already completely
    210  // lost. (And after the previous test we know that the expression will not
    211  // over/underflow.)
    212  if (ten_kappa - unit <= unit) return false;
    213  // If 2 * (rest + unit) <= 10^kappa we can safely round down.
    214  if ((ten_kappa - rest > rest) && (ten_kappa - 2 * rest >= 2 * unit)) {
    215    return true;
    216  }
    217  // If 2 * (rest - unit) >= 10^kappa, then we can safely round up.
    218  if ((rest > unit) && (ten_kappa - (rest - unit) <= (rest - unit))) {
    219    // Increment the last digit recursively until we find a non '9' digit.
    220    buffer[length - 1]++;
    221    for (int i = length - 1; i > 0; --i) {
    222      if (buffer[i] != '0' + 10) break;
    223      buffer[i] = '0';
    224      buffer[i - 1]++;
    225    }
    226    // If the first digit is now '0'+ 10 we had a buffer with all '9's. With the
    227    // exception of the first digit all digits are now '0'. Simply switch the
    228    // first digit to '1' and adjust the kappa. Example: "99" becomes "10" and
    229    // the power (the kappa) is increased.
    230    if (buffer[0] == '0' + 10) {
    231      buffer[0] = '1';
    232      (*kappa) += 1;
    233    }
    234    return true;
    235  }
    236  return false;
    237 }
    238 
    239 // Returns the biggest power of ten that is less than or equal to the given
    240 // number. We furthermore receive the maximum number of bits 'number' has.
    241 //
    242 // Returns power == 10^(exponent_plus_one-1) such that
    243 //    power <= number < power * 10.
    244 // If number_bits == 0 then 0^(0-1) is returned.
    245 // The number of bits must be <= 32.
    246 // Precondition: number < (1 << (number_bits + 1)).
    247 
    248 // Inspired by the method for finding an integer log base 10 from here:
    249 // http://graphics.stanford.edu/~seander/bithacks.html#IntegerLog10
    250 static unsigned int const kSmallPowersOfTen[] =
    251    {0, 1, 10, 100, 1000, 10000, 100000, 1000000, 10000000, 100000000,
    252     1000000000};
    253 
    254 static void BiggestPowerTen(uint32_t number,
    255                            int number_bits,
    256                            uint32_t* power,
    257                            int* exponent_plus_one) {
    258  DOUBLE_CONVERSION_ASSERT(number < (1u << (number_bits + 1)));
    259  // 1233/4096 is approximately 1/lg(10).
    260  int exponent_plus_one_guess = ((number_bits + 1) * 1233 >> 12);
    261  // We increment to skip over the first entry in the kPowersOf10 table.
    262  // Note: kPowersOf10[i] == 10^(i-1).
    263  exponent_plus_one_guess++;
    264  // We don't have any guarantees that 2^number_bits <= number.
    265  if (number < kSmallPowersOfTen[exponent_plus_one_guess]) {
    266    exponent_plus_one_guess--;
    267  }
    268  *power = kSmallPowersOfTen[exponent_plus_one_guess];
    269  *exponent_plus_one = exponent_plus_one_guess;
    270 }
    271 
    272 // Generates the digits of input number w.
    273 // w is a floating-point number (DiyFp), consisting of a significand and an
    274 // exponent. Its exponent is bounded by kMinimalTargetExponent and
    275 // kMaximalTargetExponent.
    276 //       Hence -60 <= w.e() <= -32.
    277 //
    278 // Returns false if it fails, in which case the generated digits in the buffer
    279 // should not be used.
    280 // Preconditions:
    281 //  * low, w and high are correct up to 1 ulp (unit in the last place). That
    282 //    is, their error must be less than a unit of their last digits.
    283 //  * low.e() == w.e() == high.e()
    284 //  * low < w < high, and taking into account their error: low~ <= high~
    285 //  * kMinimalTargetExponent <= w.e() <= kMaximalTargetExponent
    286 // Postconditions: returns false if procedure fails.
    287 //   otherwise:
    288 //     * buffer is not null-terminated, but len contains the number of digits.
    289 //     * buffer contains the shortest possible decimal digit-sequence
    290 //       such that LOW < buffer * 10^kappa < HIGH, where LOW and HIGH are the
    291 //       correct values of low and high (without their error).
    292 //     * if more than one decimal representation gives the minimal number of
    293 //       decimal digits then the one closest to W (where W is the correct value
    294 //       of w) is chosen.
    295 // Remark: this procedure takes into account the imprecision of its input
    296 //   numbers. If the precision is not enough to guarantee all the postconditions
    297 //   then false is returned. This usually happens rarely (~0.5%).
    298 //
    299 // Say, for the sake of example, that
    300 //   w.e() == -48, and w.f() == 0x1234567890abcdef
    301 // w's value can be computed by w.f() * 2^w.e()
    302 // We can obtain w's integral digits by simply shifting w.f() by -w.e().
    303 //  -> w's integral part is 0x1234
    304 //  w's fractional part is therefore 0x567890abcdef.
    305 // Printing w's integral part is easy (simply print 0x1234 in decimal).
    306 // In order to print its fraction we repeatedly multiply the fraction by 10 and
    307 // get each digit. Example the first digit after the point would be computed by
    308 //   (0x567890abcdef * 10) >> 48. -> 3
    309 // The whole thing becomes slightly more complicated because we want to stop
    310 // once we have enough digits. That is, once the digits inside the buffer
    311 // represent 'w' we can stop. Everything inside the interval low - high
    312 // represents w. However we have to pay attention to low, high and w's
    313 // imprecision.
    314 static bool DigitGen(DiyFp low,
    315                     DiyFp w,
    316                     DiyFp high,
    317                     Vector<char> buffer,
    318                     int* length,
    319                     int* kappa) {
    320  DOUBLE_CONVERSION_ASSERT(low.e() == w.e() && w.e() == high.e());
    321  DOUBLE_CONVERSION_ASSERT(low.f() + 1 <= high.f() - 1);
    322  DOUBLE_CONVERSION_ASSERT(kMinimalTargetExponent <= w.e() && w.e() <= kMaximalTargetExponent);
    323  // low, w and high are imprecise, but by less than one ulp (unit in the last
    324  // place).
    325  // If we remove (resp. add) 1 ulp from low (resp. high) we are certain that
    326  // the new numbers are outside of the interval we want the final
    327  // representation to lie in.
    328  // Inversely adding (resp. removing) 1 ulp from low (resp. high) would yield
    329  // numbers that are certain to lie in the interval. We will use this fact
    330  // later on.
    331  // We will now start by generating the digits within the uncertain
    332  // interval. Later we will weed out representations that lie outside the safe
    333  // interval and thus _might_ lie outside the correct interval.
    334  uint64_t unit = 1;
    335  DiyFp too_low = DiyFp(low.f() - unit, low.e());
    336  DiyFp too_high = DiyFp(high.f() + unit, high.e());
    337  // too_low and too_high are guaranteed to lie outside the interval we want the
    338  // generated number in.
    339  DiyFp unsafe_interval = DiyFp::Minus(too_high, too_low);
    340  // We now cut the input number into two parts: the integral digits and the
    341  // fractionals. We will not write any decimal separator though, but adapt
    342  // kappa instead.
    343  // Reminder: we are currently computing the digits (stored inside the buffer)
    344  // such that:   too_low < buffer * 10^kappa < too_high
    345  // We use too_high for the digit_generation and stop as soon as possible.
    346  // If we stop early we effectively round down.
    347  DiyFp one = DiyFp(static_cast<uint64_t>(1) << -w.e(), w.e());
    348  // Division by one is a shift.
    349  uint32_t integrals = static_cast<uint32_t>(too_high.f() >> -one.e());
    350  // Modulo by one is an and.
    351  uint64_t fractionals = too_high.f() & (one.f() - 1);
    352  uint32_t divisor;
    353  int divisor_exponent_plus_one;
    354  BiggestPowerTen(integrals, DiyFp::kSignificandSize - (-one.e()),
    355                  &divisor, &divisor_exponent_plus_one);
    356  *kappa = divisor_exponent_plus_one;
    357  *length = 0;
    358  // Loop invariant: buffer = too_high / 10^kappa  (integer division)
    359  // The invariant holds for the first iteration: kappa has been initialized
    360  // with the divisor exponent + 1. And the divisor is the biggest power of ten
    361  // that is smaller than integrals.
    362  while (*kappa > 0) {
    363    int digit = integrals / divisor;
    364    DOUBLE_CONVERSION_ASSERT(digit <= 9);
    365    buffer[*length] = static_cast<char>('0' + digit);
    366    (*length)++;
    367    integrals %= divisor;
    368    (*kappa)--;
    369    // Note that kappa now equals the exponent of the divisor and that the
    370    // invariant thus holds again.
    371    uint64_t rest =
    372        (static_cast<uint64_t>(integrals) << -one.e()) + fractionals;
    373    // Invariant: too_high = buffer * 10^kappa + DiyFp(rest, one.e())
    374    // Reminder: unsafe_interval.e() == one.e()
    375    if (rest < unsafe_interval.f()) {
    376      // Rounding down (by not emitting the remaining digits) yields a number
    377      // that lies within the unsafe interval.
    378      return RoundWeed(buffer, *length, DiyFp::Minus(too_high, w).f(),
    379                       unsafe_interval.f(), rest,
    380                       static_cast<uint64_t>(divisor) << -one.e(), unit);
    381    }
    382    divisor /= 10;
    383  }
    384 
    385  // The integrals have been generated. We are at the point of the decimal
    386  // separator. In the following loop we simply multiply the remaining digits by
    387  // 10 and divide by one. We just need to pay attention to multiply associated
    388  // data (like the interval or 'unit'), too.
    389  // Note that the multiplication by 10 does not overflow, because w.e >= -60
    390  // and thus one.e >= -60.
    391  DOUBLE_CONVERSION_ASSERT(one.e() >= -60);
    392  DOUBLE_CONVERSION_ASSERT(fractionals < one.f());
    393  DOUBLE_CONVERSION_ASSERT(DOUBLE_CONVERSION_UINT64_2PART_C(0xFFFFFFFF, FFFFFFFF) / 10 >= one.f());
    394  for (;;) {
    395    fractionals *= 10;
    396    unit *= 10;
    397    unsafe_interval.set_f(unsafe_interval.f() * 10);
    398    // Integer division by one.
    399    int digit = static_cast<int>(fractionals >> -one.e());
    400    DOUBLE_CONVERSION_ASSERT(digit <= 9);
    401    buffer[*length] = static_cast<char>('0' + digit);
    402    (*length)++;
    403    fractionals &= one.f() - 1;  // Modulo by one.
    404    (*kappa)--;
    405    if (fractionals < unsafe_interval.f()) {
    406      return RoundWeed(buffer, *length, DiyFp::Minus(too_high, w).f() * unit,
    407                       unsafe_interval.f(), fractionals, one.f(), unit);
    408    }
    409  }
    410 }
    411 
    412 
    413 
    414 // Generates (at most) requested_digits digits of input number w.
    415 // w is a floating-point number (DiyFp), consisting of a significand and an
    416 // exponent. Its exponent is bounded by kMinimalTargetExponent and
    417 // kMaximalTargetExponent.
    418 //       Hence -60 <= w.e() <= -32.
    419 //
    420 // Returns false if it fails, in which case the generated digits in the buffer
    421 // should not be used.
    422 // Preconditions:
    423 //  * w is correct up to 1 ulp (unit in the last place). That
    424 //    is, its error must be strictly less than a unit of its last digit.
    425 //  * kMinimalTargetExponent <= w.e() <= kMaximalTargetExponent
    426 //
    427 // Postconditions: returns false if procedure fails.
    428 //   otherwise:
    429 //     * buffer is not null-terminated, but length contains the number of
    430 //       digits.
    431 //     * the representation in buffer is the most precise representation of
    432 //       requested_digits digits.
    433 //     * buffer contains at most requested_digits digits of w. If there are less
    434 //       than requested_digits digits then some trailing '0's have been removed.
    435 //     * kappa is such that
    436 //            w = buffer * 10^kappa + eps with |eps| < 10^kappa / 2.
    437 //
    438 // Remark: This procedure takes into account the imprecision of its input
    439 //   numbers. If the precision is not enough to guarantee all the postconditions
    440 //   then false is returned. This usually happens rarely, but the failure-rate
    441 //   increases with higher requested_digits.
    442 static bool DigitGenCounted(DiyFp w,
    443                            int requested_digits,
    444                            Vector<char> buffer,
    445                            int* length,
    446                            int* kappa) {
    447  DOUBLE_CONVERSION_ASSERT(kMinimalTargetExponent <= w.e() && w.e() <= kMaximalTargetExponent);
    448  DOUBLE_CONVERSION_ASSERT(kMinimalTargetExponent >= -60);
    449  DOUBLE_CONVERSION_ASSERT(kMaximalTargetExponent <= -32);
    450  // w is assumed to have an error less than 1 unit. Whenever w is scaled we
    451  // also scale its error.
    452  uint64_t w_error = 1;
    453  // We cut the input number into two parts: the integral digits and the
    454  // fractional digits. We don't emit any decimal separator, but adapt kappa
    455  // instead. Example: instead of writing "1.2" we put "12" into the buffer and
    456  // increase kappa by 1.
    457  DiyFp one = DiyFp(static_cast<uint64_t>(1) << -w.e(), w.e());
    458  // Division by one is a shift.
    459  uint32_t integrals = static_cast<uint32_t>(w.f() >> -one.e());
    460  // Modulo by one is an and.
    461  uint64_t fractionals = w.f() & (one.f() - 1);
    462  uint32_t divisor;
    463  int divisor_exponent_plus_one;
    464  BiggestPowerTen(integrals, DiyFp::kSignificandSize - (-one.e()),
    465                  &divisor, &divisor_exponent_plus_one);
    466  *kappa = divisor_exponent_plus_one;
    467  *length = 0;
    468 
    469  // Loop invariant: buffer = w / 10^kappa  (integer division)
    470  // The invariant holds for the first iteration: kappa has been initialized
    471  // with the divisor exponent + 1. And the divisor is the biggest power of ten
    472  // that is smaller than 'integrals'.
    473  while (*kappa > 0) {
    474    int digit = integrals / divisor;
    475    DOUBLE_CONVERSION_ASSERT(digit <= 9);
    476    buffer[*length] = static_cast<char>('0' + digit);
    477    (*length)++;
    478    requested_digits--;
    479    integrals %= divisor;
    480    (*kappa)--;
    481    // Note that kappa now equals the exponent of the divisor and that the
    482    // invariant thus holds again.
    483    if (requested_digits == 0) break;
    484    divisor /= 10;
    485  }
    486 
    487  if (requested_digits == 0) {
    488    uint64_t rest =
    489        (static_cast<uint64_t>(integrals) << -one.e()) + fractionals;
    490    return RoundWeedCounted(buffer, *length, rest,
    491                            static_cast<uint64_t>(divisor) << -one.e(), w_error,
    492                            kappa);
    493  }
    494 
    495  // The integrals have been generated. We are at the point of the decimal
    496  // separator. In the following loop we simply multiply the remaining digits by
    497  // 10 and divide by one. We just need to pay attention to multiply associated
    498  // data (the 'unit'), too.
    499  // Note that the multiplication by 10 does not overflow, because w.e >= -60
    500  // and thus one.e >= -60.
    501  DOUBLE_CONVERSION_ASSERT(one.e() >= -60);
    502  DOUBLE_CONVERSION_ASSERT(fractionals < one.f());
    503  DOUBLE_CONVERSION_ASSERT(DOUBLE_CONVERSION_UINT64_2PART_C(0xFFFFFFFF, FFFFFFFF) / 10 >= one.f());
    504  while (requested_digits > 0 && fractionals > w_error) {
    505    fractionals *= 10;
    506    w_error *= 10;
    507    // Integer division by one.
    508    int digit = static_cast<int>(fractionals >> -one.e());
    509    DOUBLE_CONVERSION_ASSERT(digit <= 9);
    510    buffer[*length] = static_cast<char>('0' + digit);
    511    (*length)++;
    512    requested_digits--;
    513    fractionals &= one.f() - 1;  // Modulo by one.
    514    (*kappa)--;
    515  }
    516  if (requested_digits != 0) return false;
    517  return RoundWeedCounted(buffer, *length, fractionals, one.f(), w_error,
    518                          kappa);
    519 }
    520 
    521 
    522 // Provides a decimal representation of v.
    523 // Returns true if it succeeds, otherwise the result cannot be trusted.
    524 // There will be *length digits inside the buffer (not null-terminated).
    525 // If the function returns true then
    526 //        v == (double) (buffer * 10^decimal_exponent).
    527 // The digits in the buffer are the shortest representation possible: no
    528 // 0.09999999999999999 instead of 0.1. The shorter representation will even be
    529 // chosen even if the longer one would be closer to v.
    530 // The last digit will be closest to the actual v. That is, even if several
    531 // digits might correctly yield 'v' when read again, the closest will be
    532 // computed.
    533 static bool Grisu3(double v,
    534                   FastDtoaMode mode,
    535                   Vector<char> buffer,
    536                   int* length,
    537                   int* decimal_exponent) {
    538  DiyFp w = Double(v).AsNormalizedDiyFp();
    539  // boundary_minus and boundary_plus are the boundaries between v and its
    540  // closest floating-point neighbors. Any number strictly between
    541  // boundary_minus and boundary_plus will round to v when convert to a double.
    542  // Grisu3 will never output representations that lie exactly on a boundary.
    543  DiyFp boundary_minus, boundary_plus;
    544  if (mode == FAST_DTOA_SHORTEST) {
    545    Double(v).NormalizedBoundaries(&boundary_minus, &boundary_plus);
    546  } else {
    547    DOUBLE_CONVERSION_ASSERT(mode == FAST_DTOA_SHORTEST_SINGLE);
    548    float single_v = static_cast<float>(v);
    549    Single(single_v).NormalizedBoundaries(&boundary_minus, &boundary_plus);
    550  }
    551  DOUBLE_CONVERSION_ASSERT(boundary_plus.e() == w.e());
    552  DiyFp ten_mk;  // Cached power of ten: 10^-k
    553  int mk;        // -k
    554  int ten_mk_minimal_binary_exponent =
    555     kMinimalTargetExponent - (w.e() + DiyFp::kSignificandSize);
    556  int ten_mk_maximal_binary_exponent =
    557     kMaximalTargetExponent - (w.e() + DiyFp::kSignificandSize);
    558  PowersOfTenCache::GetCachedPowerForBinaryExponentRange(
    559      ten_mk_minimal_binary_exponent,
    560      ten_mk_maximal_binary_exponent,
    561      &ten_mk, &mk);
    562  DOUBLE_CONVERSION_ASSERT((kMinimalTargetExponent <= w.e() + ten_mk.e() +
    563          DiyFp::kSignificandSize) &&
    564         (kMaximalTargetExponent >= w.e() + ten_mk.e() +
    565          DiyFp::kSignificandSize));
    566  // Note that ten_mk is only an approximation of 10^-k. A DiyFp only contains a
    567  // 64 bit significand and ten_mk is thus only precise up to 64 bits.
    568 
    569  // The DiyFp::Times procedure rounds its result, and ten_mk is approximated
    570  // too. The variable scaled_w (as well as scaled_boundary_minus/plus) are now
    571  // off by a small amount.
    572  // In fact: scaled_w - w*10^k < 1ulp (unit in the last place) of scaled_w.
    573  // In other words: let f = scaled_w.f() and e = scaled_w.e(), then
    574  //           (f-1) * 2^e < w*10^k < (f+1) * 2^e
    575  DiyFp scaled_w = DiyFp::Times(w, ten_mk);
    576  DOUBLE_CONVERSION_ASSERT(scaled_w.e() ==
    577         boundary_plus.e() + ten_mk.e() + DiyFp::kSignificandSize);
    578  // In theory it would be possible to avoid some recomputations by computing
    579  // the difference between w and boundary_minus/plus (a power of 2) and to
    580  // compute scaled_boundary_minus/plus by subtracting/adding from
    581  // scaled_w. However the code becomes much less readable and the speed
    582  // enhancements are not terrific.
    583  DiyFp scaled_boundary_minus = DiyFp::Times(boundary_minus, ten_mk);
    584  DiyFp scaled_boundary_plus  = DiyFp::Times(boundary_plus,  ten_mk);
    585 
    586  // DigitGen will generate the digits of scaled_w. Therefore we have
    587  // v == (double) (scaled_w * 10^-mk).
    588  // Set decimal_exponent == -mk and pass it to DigitGen. If scaled_w is not an
    589  // integer than it will be updated. For instance if scaled_w == 1.23 then
    590  // the buffer will be filled with "123" and the decimal_exponent will be
    591  // decreased by 2.
    592  int kappa;
    593  bool result = DigitGen(scaled_boundary_minus, scaled_w, scaled_boundary_plus,
    594                         buffer, length, &kappa);
    595  *decimal_exponent = -mk + kappa;
    596  return result;
    597 }
    598 
    599 
    600 // The "counted" version of grisu3 (see above) only generates requested_digits
    601 // number of digits. This version does not generate the shortest representation,
    602 // and with enough requested digits 0.1 will at some point print as 0.9999999...
    603 // Grisu3 is too imprecise for real halfway cases (1.5 will not work) and
    604 // therefore the rounding strategy for halfway cases is irrelevant.
    605 static bool Grisu3Counted(double v,
    606                          int requested_digits,
    607                          Vector<char> buffer,
    608                          int* length,
    609                          int* decimal_exponent) {
    610  DiyFp w = Double(v).AsNormalizedDiyFp();
    611  DiyFp ten_mk;  // Cached power of ten: 10^-k
    612  int mk;        // -k
    613  int ten_mk_minimal_binary_exponent =
    614     kMinimalTargetExponent - (w.e() + DiyFp::kSignificandSize);
    615  int ten_mk_maximal_binary_exponent =
    616     kMaximalTargetExponent - (w.e() + DiyFp::kSignificandSize);
    617  PowersOfTenCache::GetCachedPowerForBinaryExponentRange(
    618      ten_mk_minimal_binary_exponent,
    619      ten_mk_maximal_binary_exponent,
    620      &ten_mk, &mk);
    621  DOUBLE_CONVERSION_ASSERT((kMinimalTargetExponent <= w.e() + ten_mk.e() +
    622          DiyFp::kSignificandSize) &&
    623         (kMaximalTargetExponent >= w.e() + ten_mk.e() +
    624          DiyFp::kSignificandSize));
    625  // Note that ten_mk is only an approximation of 10^-k. A DiyFp only contains a
    626  // 64 bit significand and ten_mk is thus only precise up to 64 bits.
    627 
    628  // The DiyFp::Times procedure rounds its result, and ten_mk is approximated
    629  // too. The variable scaled_w (as well as scaled_boundary_minus/plus) are now
    630  // off by a small amount.
    631  // In fact: scaled_w - w*10^k < 1ulp (unit in the last place) of scaled_w.
    632  // In other words: let f = scaled_w.f() and e = scaled_w.e(), then
    633  //           (f-1) * 2^e < w*10^k < (f+1) * 2^e
    634  DiyFp scaled_w = DiyFp::Times(w, ten_mk);
    635 
    636  // We now have (double) (scaled_w * 10^-mk).
    637  // DigitGen will generate the first requested_digits digits of scaled_w and
    638  // return together with a kappa such that scaled_w ~= buffer * 10^kappa. (It
    639  // will not always be exactly the same since DigitGenCounted only produces a
    640  // limited number of digits.)
    641  int kappa;
    642  bool result = DigitGenCounted(scaled_w, requested_digits,
    643                                buffer, length, &kappa);
    644  *decimal_exponent = -mk + kappa;
    645  return result;
    646 }
    647 
    648 
    649 bool FastDtoa(double v,
    650              FastDtoaMode mode,
    651              int requested_digits,
    652              Vector<char> buffer,
    653              int* length,
    654              int* decimal_point) {
    655  DOUBLE_CONVERSION_ASSERT(v > 0);
    656  DOUBLE_CONVERSION_ASSERT(!Double(v).IsSpecial());
    657 
    658  bool result = false;
    659  int decimal_exponent = 0;
    660  switch (mode) {
    661    case FAST_DTOA_SHORTEST:
    662    case FAST_DTOA_SHORTEST_SINGLE:
    663      result = Grisu3(v, mode, buffer, length, &decimal_exponent);
    664      break;
    665    case FAST_DTOA_PRECISION:
    666      result = Grisu3Counted(v, requested_digits,
    667                             buffer, length, &decimal_exponent);
    668      break;
    669    default:
    670      DOUBLE_CONVERSION_UNREACHABLE();
    671  }
    672  if (result) {
    673    *decimal_point = *length + decimal_exponent;
    674    buffer[*length] = '\0';
    675  }
    676  return result;
    677 }
    678 
    679 }  // namespace double_conversion
    680 
    681 // ICU PATCH: Close ICU namespace
    682 U_NAMESPACE_END
    683 #endif // ICU PATCH: close #if !UCONFIG_NO_FORMATTING