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// Formatting library for C++ - implementation
//
// Copyright (c) 2012 - 2016, Victor Zverovich
// All rights reserved.
//
// For the license information refer to format.h.
#ifndef FMT_FORMAT_INL_H_
#define FMT_FORMAT_INL_H_
#include <cassert>
#include <cctype>
#include <climits>
#include <cmath>
#include <cstdarg>
#include <cstring> // std::memmove
#include <cwchar>
#include <exception>
#ifndef FMT_STATIC_THOUSANDS_SEPARATOR
# include <locale>
#endif
#ifdef _WIN32
# include <io.h> // _isatty
#endif
#include "format.h"
// Dummy implementations of strerror_r and strerror_s called if corresponding
// system functions are not available.
inline fmt::detail::null<> strerror_r(int, char*, ...) { return {}; }
inline fmt::detail::null<> strerror_s(char*, size_t, ...) { return {}; }
FMT_BEGIN_NAMESPACE
namespace detail {
FMT_FUNC void assert_fail(const char* file, int line, const char* message) {
// Use unchecked std::fprintf to avoid triggering another assertion when
// writing to stderr fails
std::fprintf(stderr, "%s:%d: assertion failed: %s", file, line, message);
// Chosen instead of std::abort to satisfy Clang in CUDA mode during device
// code pass.
std::terminate();
}
#ifndef _MSC_VER
# define FMT_SNPRINTF snprintf
#else // _MSC_VER
inline int fmt_snprintf(char* buffer, size_t size, const char* format, ...) {
va_list args;
va_start(args, format);
int result = vsnprintf_s(buffer, size, _TRUNCATE, format, args);
va_end(args);
return result;
}
# define FMT_SNPRINTF fmt_snprintf
#endif // _MSC_VER
// A portable thread-safe version of strerror.
// Sets buffer to point to a string describing the error code.
// This can be either a pointer to a string stored in buffer,
// or a pointer to some static immutable string.
// Returns one of the following values:
// 0 - success
// ERANGE - buffer is not large enough to store the error message
// other - failure
// Buffer should be at least of size 1.
inline int safe_strerror(int error_code, char*& buffer,
size_t buffer_size) FMT_NOEXCEPT {
FMT_ASSERT(buffer != nullptr && buffer_size != 0, "invalid buffer");
class dispatcher {
private:
int error_code_;
char*& buffer_;
size_t buffer_size_;
// A noop assignment operator to avoid bogus warnings.
void operator=(const dispatcher&) {}
// Handle the result of XSI-compliant version of strerror_r.
int handle(int result) {
// glibc versions before 2.13 return result in errno.
return result == -1 ? errno : result;
}
// Handle the result of GNU-specific version of strerror_r.
FMT_MAYBE_UNUSED
int handle(char* message) {
// If the buffer is full then the message is probably truncated.
if (message == buffer_ && strlen(buffer_) == buffer_size_ - 1)
return ERANGE;
buffer_ = message;
return 0;
}
// Handle the case when strerror_r is not available.
FMT_MAYBE_UNUSED
int handle(detail::null<>) {
return fallback(strerror_s(buffer_, buffer_size_, error_code_));
}
// Fallback to strerror_s when strerror_r is not available.
FMT_MAYBE_UNUSED
int fallback(int result) {
// If the buffer is full then the message is probably truncated.
return result == 0 && strlen(buffer_) == buffer_size_ - 1 ? ERANGE
: result;
}
#if !FMT_MSC_VER
// Fallback to strerror if strerror_r and strerror_s are not available.
int fallback(detail::null<>) {
errno = 0;
buffer_ = strerror(error_code_);
return errno;
}
#endif
public:
dispatcher(int err_code, char*& buf, size_t buf_size)
: error_code_(err_code), buffer_(buf), buffer_size_(buf_size) {}
int run() { return handle(strerror_r(error_code_, buffer_, buffer_size_)); }
};
return dispatcher(error_code, buffer, buffer_size).run();
}
FMT_FUNC void format_error_code(detail::buffer<char>& out, int error_code,
string_view message) FMT_NOEXCEPT {
// Report error code making sure that the output fits into
// inline_buffer_size to avoid dynamic memory allocation and potential
// bad_alloc.
out.try_resize(0);
static const char SEP[] = ": ";
static const char ERROR_STR[] = "error ";
// Subtract 2 to account for terminating null characters in SEP and ERROR_STR.
size_t error_code_size = sizeof(SEP) + sizeof(ERROR_STR) - 2;
auto abs_value = static_cast<uint32_or_64_or_128_t<int>>(error_code);
if (detail::is_negative(error_code)) {
abs_value = 0 - abs_value;
++error_code_size;
}
error_code_size += detail::to_unsigned(detail::count_digits(abs_value));
auto it = buffer_appender<char>(out);
if (message.size() <= inline_buffer_size - error_code_size)
format_to(it, "{}{}", message, SEP);
format_to(it, "{}{}", ERROR_STR, error_code);
assert(out.size() <= inline_buffer_size);
}
FMT_FUNC void report_error(format_func func, int error_code,
string_view message) FMT_NOEXCEPT {
memory_buffer full_message;
func(full_message, error_code, message);
// Don't use fwrite_fully because the latter may throw.
(void)std::fwrite(full_message.data(), full_message.size(), 1, stderr);
std::fputc('\n', stderr);
}
// A wrapper around fwrite that throws on error.
inline void fwrite_fully(const void* ptr, size_t size, size_t count,
FILE* stream) {
size_t written = std::fwrite(ptr, size, count, stream);
if (written < count) FMT_THROW(system_error(errno, "cannot write to file"));
}
} // namespace detail
#if !defined(FMT_STATIC_THOUSANDS_SEPARATOR)
namespace detail {
template <typename Locale>
locale_ref::locale_ref(const Locale& loc) : locale_(&loc) {
static_assert(std::is_same<Locale, std::locale>::value, "");
}
template <typename Locale> Locale locale_ref::get() const {
static_assert(std::is_same<Locale, std::locale>::value, "");
return locale_ ? *static_cast<const std::locale*>(locale_) : std::locale();
}
template <typename Char> FMT_FUNC std::string grouping_impl(locale_ref loc) {
return std::use_facet<std::numpunct<Char>>(loc.get<std::locale>()).grouping();
}
template <typename Char> FMT_FUNC Char thousands_sep_impl(locale_ref loc) {
return std::use_facet<std::numpunct<Char>>(loc.get<std::locale>())
.thousands_sep();
}
template <typename Char> FMT_FUNC Char decimal_point_impl(locale_ref loc) {
return std::use_facet<std::numpunct<Char>>(loc.get<std::locale>())
.decimal_point();
}
} // namespace detail
#else
template <typename Char>
FMT_FUNC std::string detail::grouping_impl(locale_ref) {
return "\03";
}
template <typename Char> FMT_FUNC Char detail::thousands_sep_impl(locale_ref) {
return FMT_STATIC_THOUSANDS_SEPARATOR;
}
template <typename Char> FMT_FUNC Char detail::decimal_point_impl(locale_ref) {
return '.';
}
#endif
FMT_API FMT_FUNC format_error::~format_error() FMT_NOEXCEPT = default;
FMT_API FMT_FUNC system_error::~system_error() FMT_NOEXCEPT = default;
FMT_FUNC void system_error::init(int err_code, string_view format_str,
format_args args) {
error_code_ = err_code;
memory_buffer buffer;
format_system_error(buffer, err_code, vformat(format_str, args));
std::runtime_error& base = *this;
base = std::runtime_error(to_string(buffer));
}
namespace detail {
template <> FMT_FUNC int count_digits<4>(detail::fallback_uintptr n) {
// fallback_uintptr is always stored in little endian.
int i = static_cast<int>(sizeof(void*)) - 1;
while (i > 0 && n.value[i] == 0) --i;
auto char_digits = std::numeric_limits<unsigned char>::digits / 4;
return i >= 0 ? i * char_digits + count_digits<4, unsigned>(n.value[i]) : 1;
}
template <typename T>
const typename basic_data<T>::digit_pair basic_data<T>::digits[] = {
{'0', '0'}, {'0', '1'}, {'0', '2'}, {'0', '3'}, {'0', '4'}, {'0', '5'},
{'0', '6'}, {'0', '7'}, {'0', '8'}, {'0', '9'}, {'1', '0'}, {'1', '1'},
{'1', '2'}, {'1', '3'}, {'1', '4'}, {'1', '5'}, {'1', '6'}, {'1', '7'},
{'1', '8'}, {'1', '9'}, {'2', '0'}, {'2', '1'}, {'2', '2'}, {'2', '3'},
{'2', '4'}, {'2', '5'}, {'2', '6'}, {'2', '7'}, {'2', '8'}, {'2', '9'},
{'3', '0'}, {'3', '1'}, {'3', '2'}, {'3', '3'}, {'3', '4'}, {'3', '5'},
{'3', '6'}, {'3', '7'}, {'3', '8'}, {'3', '9'}, {'4', '0'}, {'4', '1'},
{'4', '2'}, {'4', '3'}, {'4', '4'}, {'4', '5'}, {'4', '6'}, {'4', '7'},
{'4', '8'}, {'4', '9'}, {'5', '0'}, {'5', '1'}, {'5', '2'}, {'5', '3'},
{'5', '4'}, {'5', '5'}, {'5', '6'}, {'5', '7'}, {'5', '8'}, {'5', '9'},
{'6', '0'}, {'6', '1'}, {'6', '2'}, {'6', '3'}, {'6', '4'}, {'6', '5'},
{'6', '6'}, {'6', '7'}, {'6', '8'}, {'6', '9'}, {'7', '0'}, {'7', '1'},
{'7', '2'}, {'7', '3'}, {'7', '4'}, {'7', '5'}, {'7', '6'}, {'7', '7'},
{'7', '8'}, {'7', '9'}, {'8', '0'}, {'8', '1'}, {'8', '2'}, {'8', '3'},
{'8', '4'}, {'8', '5'}, {'8', '6'}, {'8', '7'}, {'8', '8'}, {'8', '9'},
{'9', '0'}, {'9', '1'}, {'9', '2'}, {'9', '3'}, {'9', '4'}, {'9', '5'},
{'9', '6'}, {'9', '7'}, {'9', '8'}, {'9', '9'}};
template <typename T>
const char basic_data<T>::hex_digits[] = "0123456789abcdef";
#define FMT_POWERS_OF_10(factor) \
factor * 10, (factor)*100, (factor)*1000, (factor)*10000, (factor)*100000, \
(factor)*1000000, (factor)*10000000, (factor)*100000000, \
(factor)*1000000000
template <typename T>
const uint64_t basic_data<T>::powers_of_10_64[] = {
1, FMT_POWERS_OF_10(1), FMT_POWERS_OF_10(1000000000ULL),
10000000000000000000ULL};
template <typename T>
const uint32_t basic_data<T>::zero_or_powers_of_10_32[] = {0,
FMT_POWERS_OF_10(1)};
template <typename T>
const uint64_t basic_data<T>::zero_or_powers_of_10_64[] = {
0, FMT_POWERS_OF_10(1), FMT_POWERS_OF_10(1000000000ULL),
10000000000000000000ULL};
template <typename T>
const uint32_t basic_data<T>::zero_or_powers_of_10_32_new[] = {
0, 0, FMT_POWERS_OF_10(1)};
template <typename T>
const uint64_t basic_data<T>::zero_or_powers_of_10_64_new[] = {
0, 0, FMT_POWERS_OF_10(1), FMT_POWERS_OF_10(1000000000ULL),
10000000000000000000ULL};
// Normalized 64-bit significands of pow(10, k), for k = -348, -340, ..., 340.
// These are generated by support/compute-powers.py.
template <typename T>
const uint64_t basic_data<T>::grisu_pow10_significands[] = {
0xfa8fd5a0081c0288, 0xbaaee17fa23ebf76, 0x8b16fb203055ac76,
0xcf42894a5dce35ea, 0x9a6bb0aa55653b2d, 0xe61acf033d1a45df,
0xab70fe17c79ac6ca, 0xff77b1fcbebcdc4f, 0xbe5691ef416bd60c,
0x8dd01fad907ffc3c, 0xd3515c2831559a83, 0x9d71ac8fada6c9b5,
0xea9c227723ee8bcb, 0xaecc49914078536d, 0x823c12795db6ce57,
0xc21094364dfb5637, 0x9096ea6f3848984f, 0xd77485cb25823ac7,
0xa086cfcd97bf97f4, 0xef340a98172aace5, 0xb23867fb2a35b28e,
0x84c8d4dfd2c63f3b, 0xc5dd44271ad3cdba, 0x936b9fcebb25c996,
0xdbac6c247d62a584, 0xa3ab66580d5fdaf6, 0xf3e2f893dec3f126,
0xb5b5ada8aaff80b8, 0x87625f056c7c4a8b, 0xc9bcff6034c13053,
0x964e858c91ba2655, 0xdff9772470297ebd, 0xa6dfbd9fb8e5b88f,
0xf8a95fcf88747d94, 0xb94470938fa89bcf, 0x8a08f0f8bf0f156b,
0xcdb02555653131b6, 0x993fe2c6d07b7fac, 0xe45c10c42a2b3b06,
0xaa242499697392d3, 0xfd87b5f28300ca0e, 0xbce5086492111aeb,
0x8cbccc096f5088cc, 0xd1b71758e219652c, 0x9c40000000000000,
0xe8d4a51000000000, 0xad78ebc5ac620000, 0x813f3978f8940984,
0xc097ce7bc90715b3, 0x8f7e32ce7bea5c70, 0xd5d238a4abe98068,
0x9f4f2726179a2245, 0xed63a231d4c4fb27, 0xb0de65388cc8ada8,
0x83c7088e1aab65db, 0xc45d1df942711d9a, 0x924d692ca61be758,
0xda01ee641a708dea, 0xa26da3999aef774a, 0xf209787bb47d6b85,
0xb454e4a179dd1877, 0x865b86925b9bc5c2, 0xc83553c5c8965d3d,
0x952ab45cfa97a0b3, 0xde469fbd99a05fe3, 0xa59bc234db398c25,
0xf6c69a72a3989f5c, 0xb7dcbf5354e9bece, 0x88fcf317f22241e2,
0xcc20ce9bd35c78a5, 0x98165af37b2153df, 0xe2a0b5dc971f303a,
0xa8d9d1535ce3b396, 0xfb9b7cd9a4a7443c, 0xbb764c4ca7a44410,
0x8bab8eefb6409c1a, 0xd01fef10a657842c, 0x9b10a4e5e9913129,
0xe7109bfba19c0c9d, 0xac2820d9623bf429, 0x80444b5e7aa7cf85,
0xbf21e44003acdd2d, 0x8e679c2f5e44ff8f, 0xd433179d9c8cb841,
0x9e19db92b4e31ba9, 0xeb96bf6ebadf77d9, 0xaf87023b9bf0ee6b,
};
// Binary exponents of pow(10, k), for k = -348, -340, ..., 340, corresponding
// to significands above.
template <typename T>
const int16_t basic_data<T>::grisu_pow10_exponents[] = {
-1220, -1193, -1166, -1140, -1113, -1087, -1060, -1034, -1007, -980, -954,
-927, -901, -874, -847, -821, -794, -768, -741, -715, -688, -661,
-635, -608, -582, -555, -529, -502, -475, -449, -422, -396, -369,
-343, -316, -289, -263, -236, -210, -183, -157, -130, -103, -77,
-50, -24, 3, 30, 56, 83, 109, 136, 162, 189, 216,
242, 269, 295, 322, 348, 375, 402, 428, 455, 481, 508,
534, 561, 588, 614, 641, 667, 694, 720, 747, 774, 800,
827, 853, 880, 907, 933, 960, 986, 1013, 1039, 1066};
template <typename T>
const divtest_table_entry<uint32_t> basic_data<T>::divtest_table_for_pow5_32[] =
{{0x00000001, 0xffffffff}, {0xcccccccd, 0x33333333},
{0xc28f5c29, 0x0a3d70a3}, {0x26e978d5, 0x020c49ba},
{0x3afb7e91, 0x0068db8b}, {0x0bcbe61d, 0x0014f8b5},
{0x68c26139, 0x000431bd}, {0xae8d46a5, 0x0000d6bf},
{0x22e90e21, 0x00002af3}, {0x3a2e9c6d, 0x00000897},
{0x3ed61f49, 0x000001b7}};
template <typename T>
const divtest_table_entry<uint64_t> basic_data<T>::divtest_table_for_pow5_64[] =
{{0x0000000000000001, 0xffffffffffffffff},
{0xcccccccccccccccd, 0x3333333333333333},
{0x8f5c28f5c28f5c29, 0x0a3d70a3d70a3d70},
{0x1cac083126e978d5, 0x020c49ba5e353f7c},
{0xd288ce703afb7e91, 0x0068db8bac710cb2},
{0x5d4e8fb00bcbe61d, 0x0014f8b588e368f0},
{0x790fb65668c26139, 0x000431bde82d7b63},
{0xe5032477ae8d46a5, 0x0000d6bf94d5e57a},
{0xc767074b22e90e21, 0x00002af31dc46118},
{0x8e47ce423a2e9c6d, 0x0000089705f4136b},
{0x4fa7f60d3ed61f49, 0x000001b7cdfd9d7b},
{0x0fee64690c913975, 0x00000057f5ff85e5},
{0x3662e0e1cf503eb1, 0x000000119799812d},
{0xa47a2cf9f6433fbd, 0x0000000384b84d09},
{0x54186f653140a659, 0x00000000b424dc35},
{0x7738164770402145, 0x0000000024075f3d},
{0xe4a4d1417cd9a041, 0x000000000734aca5},
{0xc75429d9e5c5200d, 0x000000000170ef54},
{0xc1773b91fac10669, 0x000000000049c977},
{0x26b172506559ce15, 0x00000000000ec1e4},
{0xd489e3a9addec2d1, 0x000000000002f394},
{0x90e860bb892c8d5d, 0x000000000000971d},
{0x502e79bf1b6f4f79, 0x0000000000001e39},
{0xdcd618596be30fe5, 0x000000000000060b}};
template <typename T>
const uint64_t basic_data<T>::dragonbox_pow10_significands_64[] = {
0x81ceb32c4b43fcf5, 0xa2425ff75e14fc32, 0xcad2f7f5359a3b3f,
0xfd87b5f28300ca0e, 0x9e74d1b791e07e49, 0xc612062576589ddb,
0xf79687aed3eec552, 0x9abe14cd44753b53, 0xc16d9a0095928a28,
0xf1c90080baf72cb2, 0x971da05074da7bef, 0xbce5086492111aeb,
0xec1e4a7db69561a6, 0x9392ee8e921d5d08, 0xb877aa3236a4b44a,
0xe69594bec44de15c, 0x901d7cf73ab0acda, 0xb424dc35095cd810,
0xe12e13424bb40e14, 0x8cbccc096f5088cc, 0xafebff0bcb24aaff,
0xdbe6fecebdedd5bf, 0x89705f4136b4a598, 0xabcc77118461cefd,
0xd6bf94d5e57a42bd, 0x8637bd05af6c69b6, 0xa7c5ac471b478424,
0xd1b71758e219652c, 0x83126e978d4fdf3c, 0xa3d70a3d70a3d70b,
0xcccccccccccccccd, 0x8000000000000000, 0xa000000000000000,
0xc800000000000000, 0xfa00000000000000, 0x9c40000000000000,
0xc350000000000000, 0xf424000000000000, 0x9896800000000000,
0xbebc200000000000, 0xee6b280000000000, 0x9502f90000000000,
0xba43b74000000000, 0xe8d4a51000000000, 0x9184e72a00000000,
0xb5e620f480000000, 0xe35fa931a0000000, 0x8e1bc9bf04000000,
0xb1a2bc2ec5000000, 0xde0b6b3a76400000, 0x8ac7230489e80000,
0xad78ebc5ac620000, 0xd8d726b7177a8000, 0x878678326eac9000,
0xa968163f0a57b400, 0xd3c21bcecceda100, 0x84595161401484a0,
0xa56fa5b99019a5c8, 0xcecb8f27f4200f3a, 0x813f3978f8940984,
0xa18f07d736b90be5, 0xc9f2c9cd04674ede, 0xfc6f7c4045812296,
0x9dc5ada82b70b59d, 0xc5371912364ce305, 0xf684df56c3e01bc6,
0x9a130b963a6c115c, 0xc097ce7bc90715b3, 0xf0bdc21abb48db20,
0x96769950b50d88f4, 0xbc143fa4e250eb31, 0xeb194f8e1ae525fd,
0x92efd1b8d0cf37be, 0xb7abc627050305ad, 0xe596b7b0c643c719,
0x8f7e32ce7bea5c6f, 0xb35dbf821ae4f38b, 0xe0352f62a19e306e};
template <typename T>
const uint128_wrapper basic_data<T>::dragonbox_pow10_significands_128[] = {
#if FMT_USE_FULL_CACHE_DRAGONBOX
{0xff77b1fcbebcdc4f, 0x25e8e89c13bb0f7b},
{0x9faacf3df73609b1, 0x77b191618c54e9ad},
{0xc795830d75038c1d, 0xd59df5b9ef6a2418},
{0xf97ae3d0d2446f25, 0x4b0573286b44ad1e},
{0x9becce62836ac577, 0x4ee367f9430aec33},
{0xc2e801fb244576d5, 0x229c41f793cda740},
{0xf3a20279ed56d48a, 0x6b43527578c11110},
{0x9845418c345644d6, 0x830a13896b78aaaa},
{0xbe5691ef416bd60c, 0x23cc986bc656d554},
{0xedec366b11c6cb8f, 0x2cbfbe86b7ec8aa9},
{0x94b3a202eb1c3f39, 0x7bf7d71432f3d6aa},
{0xb9e08a83a5e34f07, 0xdaf5ccd93fb0cc54},
{0xe858ad248f5c22c9, 0xd1b3400f8f9cff69},
{0x91376c36d99995be, 0x23100809b9c21fa2},
{0xb58547448ffffb2d, 0xabd40a0c2832a78b},
{0xe2e69915b3fff9f9, 0x16c90c8f323f516d},
{0x8dd01fad907ffc3b, 0xae3da7d97f6792e4},
{0xb1442798f49ffb4a, 0x99cd11cfdf41779d},
{0xdd95317f31c7fa1d, 0x40405643d711d584},
{0x8a7d3eef7f1cfc52, 0x482835ea666b2573},
{0xad1c8eab5ee43b66, 0xda3243650005eed0},
{0xd863b256369d4a40, 0x90bed43e40076a83},
{0x873e4f75e2224e68, 0x5a7744a6e804a292},
{0xa90de3535aaae202, 0x711515d0a205cb37},
{0xd3515c2831559a83, 0x0d5a5b44ca873e04},
{0x8412d9991ed58091, 0xe858790afe9486c3},
{0xa5178fff668ae0b6, 0x626e974dbe39a873},
{0xce5d73ff402d98e3, 0xfb0a3d212dc81290},
{0x80fa687f881c7f8e, 0x7ce66634bc9d0b9a},
{0xa139029f6a239f72, 0x1c1fffc1ebc44e81},
{0xc987434744ac874e, 0xa327ffb266b56221},
{0xfbe9141915d7a922, 0x4bf1ff9f0062baa9},
{0x9d71ac8fada6c9b5, 0x6f773fc3603db4aa},
{0xc4ce17b399107c22, 0xcb550fb4384d21d4},
{0xf6019da07f549b2b, 0x7e2a53a146606a49},
{0x99c102844f94e0fb, 0x2eda7444cbfc426e},
{0xc0314325637a1939, 0xfa911155fefb5309},
{0xf03d93eebc589f88, 0x793555ab7eba27cb},
{0x96267c7535b763b5, 0x4bc1558b2f3458df},
{0xbbb01b9283253ca2, 0x9eb1aaedfb016f17},
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{0x82818f1281ed449f, 0xbff8f10e7a8921a4},
{0xa321f2d7226895c7, 0xaff72d52192b6a0d},
{0xcbea6f8ceb02bb39, 0x9bf4f8a69f764490},
{0xfee50b7025c36a08, 0x02f236d04753d5b4},
{0x9f4f2726179a2245, 0x01d762422c946590},
{0xc722f0ef9d80aad6, 0x424d3ad2b7b97ef5},
{0xf8ebad2b84e0d58b, 0xd2e0898765a7deb2},
{0x9b934c3b330c8577, 0x63cc55f49f88eb2f},
{0xc2781f49ffcfa6d5, 0x3cbf6b71c76b25fb},
{0xf316271c7fc3908a, 0x8bef464e3945ef7a},
{0x97edd871cfda3a56, 0x97758bf0e3cbb5ac},
{0xbde94e8e43d0c8ec, 0x3d52eeed1cbea317},
{0xed63a231d4c4fb27, 0x4ca7aaa863ee4bdd},
{0x945e455f24fb1cf8, 0x8fe8caa93e74ef6a},
{0xb975d6b6ee39e436, 0xb3e2fd538e122b44},
{0xe7d34c64a9c85d44, 0x60dbbca87196b616},
{0x90e40fbeea1d3a4a, 0xbc8955e946fe31cd},
{0xb51d13aea4a488dd, 0x6babab6398bdbe41},
{0xe264589a4dcdab14, 0xc696963c7eed2dd1},
{0x8d7eb76070a08aec, 0xfc1e1de5cf543ca2},
{0xb0de65388cc8ada8, 0x3b25a55f43294bcb},
{0xdd15fe86affad912, 0x49ef0eb713f39ebe},
{0x8a2dbf142dfcc7ab, 0x6e3569326c784337},
{0xacb92ed9397bf996, 0x49c2c37f07965404},
{0xd7e77a8f87daf7fb, 0xdc33745ec97be906},
{0x86f0ac99b4e8dafd, 0x69a028bb3ded71a3},
{0xa8acd7c0222311bc, 0xc40832ea0d68ce0c},
{0xd2d80db02aabd62b, 0xf50a3fa490c30190},
{0x83c7088e1aab65db, 0x792667c6da79e0fa},
{0xa4b8cab1a1563f52, 0x577001b891185938},
{0xcde6fd5e09abcf26, 0xed4c0226b55e6f86},
{0x80b05e5ac60b6178, 0x544f8158315b05b4},
{0xa0dc75f1778e39d6, 0x696361ae3db1c721},
{0xc913936dd571c84c, 0x03bc3a19cd1e38e9},
{0xfb5878494ace3a5f, 0x04ab48a04065c723},
{0x9d174b2dcec0e47b, 0x62eb0d64283f9c76},
{0xc45d1df942711d9a, 0x3ba5d0bd324f8394},
{0xf5746577930d6500, 0xca8f44ec7ee36479},
{0x9968bf6abbe85f20, 0x7e998b13cf4e1ecb},
{0xbfc2ef456ae276e8, 0x9e3fedd8c321a67e},
{0xefb3ab16c59b14a2, 0xc5cfe94ef3ea101e},
{0x95d04aee3b80ece5, 0xbba1f1d158724a12},
{0xbb445da9ca61281f, 0x2a8a6e45ae8edc97},
{0xea1575143cf97226, 0xf52d09d71a3293bd},
{0x924d692ca61be758, 0x593c2626705f9c56},
{0xb6e0c377cfa2e12e, 0x6f8b2fb00c77836c},
{0xe498f455c38b997a, 0x0b6dfb9c0f956447},
{0x8edf98b59a373fec, 0x4724bd4189bd5eac},
{0xb2977ee300c50fe7, 0x58edec91ec2cb657},
{0xdf3d5e9bc0f653e1, 0x2f2967b66737e3ed},
{0x8b865b215899f46c, 0xbd79e0d20082ee74},
{0xae67f1e9aec07187, 0xecd8590680a3aa11},
{0xda01ee641a708de9, 0xe80e6f4820cc9495},
{0x884134fe908658b2, 0x3109058d147fdcdd},
{0xaa51823e34a7eede, 0xbd4b46f0599fd415},
{0xd4e5e2cdc1d1ea96, 0x6c9e18ac7007c91a},
{0x850fadc09923329e, 0x03e2cf6bc604ddb0},
{0xa6539930bf6bff45, 0x84db8346b786151c},
{0xcfe87f7cef46ff16, 0xe612641865679a63},
{0x81f14fae158c5f6e, 0x4fcb7e8f3f60c07e},
{0xa26da3999aef7749, 0xe3be5e330f38f09d},
{0xcb090c8001ab551c, 0x5cadf5bfd3072cc5},
{0xfdcb4fa002162a63, 0x73d9732fc7c8f7f6},
{0x9e9f11c4014dda7e, 0x2867e7fddcdd9afa},
{0xc646d63501a1511d, 0xb281e1fd541501b8},
{0xf7d88bc24209a565, 0x1f225a7ca91a4226},
{0x9ae757596946075f, 0x3375788de9b06958},
{0xc1a12d2fc3978937, 0x0052d6b1641c83ae},
{0xf209787bb47d6b84, 0xc0678c5dbd23a49a},
{0x9745eb4d50ce6332, 0xf840b7ba963646e0},
{0xbd176620a501fbff, 0xb650e5a93bc3d898},
{0xec5d3fa8ce427aff, 0xa3e51f138ab4cebe},
{0x93ba47c980e98cdf, 0xc66f336c36b10137},
{0xb8a8d9bbe123f017, 0xb80b0047445d4184},
{0xe6d3102ad96cec1d, 0xa60dc059157491e5},
{0x9043ea1ac7e41392, 0x87c89837ad68db2f},
{0xb454e4a179dd1877, 0x29babe4598c311fb},
{0xe16a1dc9d8545e94, 0xf4296dd6fef3d67a},
{0x8ce2529e2734bb1d, 0x1899e4a65f58660c},
{0xb01ae745b101e9e4, 0x5ec05dcff72e7f8f},
{0xdc21a1171d42645d, 0x76707543f4fa1f73},
{0x899504ae72497eba, 0x6a06494a791c53a8},
{0xabfa45da0edbde69, 0x0487db9d17636892},
{0xd6f8d7509292d603, 0x45a9d2845d3c42b6},
{0x865b86925b9bc5c2, 0x0b8a2392ba45a9b2},
{0xa7f26836f282b732, 0x8e6cac7768d7141e},
{0xd1ef0244af2364ff, 0x3207d795430cd926},
{0x8335616aed761f1f, 0x7f44e6bd49e807b8},
{0xa402b9c5a8d3a6e7, 0x5f16206c9c6209a6},
{0xcd036837130890a1, 0x36dba887c37a8c0f},
{0x802221226be55a64, 0xc2494954da2c9789},
{0xa02aa96b06deb0fd, 0xf2db9baa10b7bd6c},
{0xc83553c5c8965d3d, 0x6f92829494e5acc7},
{0xfa42a8b73abbf48c, 0xcb772339ba1f17f9},
{0x9c69a97284b578d7, 0xff2a760414536efb},
{0xc38413cf25e2d70d, 0xfef5138519684aba},
{0xf46518c2ef5b8cd1, 0x7eb258665fc25d69},
{0x98bf2f79d5993802, 0xef2f773ffbd97a61},
{0xbeeefb584aff8603, 0xaafb550ffacfd8fa},
{0xeeaaba2e5dbf6784, 0x95ba2a53f983cf38},
{0x952ab45cfa97a0b2, 0xdd945a747bf26183},
{0xba756174393d88df, 0x94f971119aeef9e4},
{0xe912b9d1478ceb17, 0x7a37cd5601aab85d},
{0x91abb422ccb812ee, 0xac62e055c10ab33a},
{0xb616a12b7fe617aa, 0x577b986b314d6009},
{0xe39c49765fdf9d94, 0xed5a7e85fda0b80b},
{0x8e41ade9fbebc27d, 0x14588f13be847307},
{0xb1d219647ae6b31c, 0x596eb2d8ae258fc8},
{0xde469fbd99a05fe3, 0x6fca5f8ed9aef3bb},
{0x8aec23d680043bee, 0x25de7bb9480d5854},
{0xada72ccc20054ae9, 0xaf561aa79a10ae6a},
{0xd910f7ff28069da4, 0x1b2ba1518094da04},
{0x87aa9aff79042286, 0x90fb44d2f05d0842},
{0xa99541bf57452b28, 0x353a1607ac744a53},
{0xd3fa922f2d1675f2, 0x42889b8997915ce8},
{0x847c9b5d7c2e09b7, 0x69956135febada11},
{0xa59bc234db398c25, 0x43fab9837e699095},
{0xcf02b2c21207ef2e, 0x94f967e45e03f4bb},
{0x8161afb94b44f57d, 0x1d1be0eebac278f5},
{0xa1ba1ba79e1632dc, 0x6462d92a69731732},
{0xca28a291859bbf93, 0x7d7b8f7503cfdcfe},
{0xfcb2cb35e702af78, 0x5cda735244c3d43e},
{0x9defbf01b061adab, 0x3a0888136afa64a7},
{0xc56baec21c7a1916, 0x088aaa1845b8fdd0},
{0xf6c69a72a3989f5b, 0x8aad549e57273d45},
{0x9a3c2087a63f6399, 0x36ac54e2f678864b},
{0xc0cb28a98fcf3c7f, 0x84576a1bb416a7dd},
{0xf0fdf2d3f3c30b9f, 0x656d44a2a11c51d5},
{0x969eb7c47859e743, 0x9f644ae5a4b1b325},
{0xbc4665b596706114, 0x873d5d9f0dde1fee},
{0xeb57ff22fc0c7959, 0xa90cb506d155a7ea},
{0x9316ff75dd87cbd8, 0x09a7f12442d588f2},
{0xb7dcbf5354e9bece, 0x0c11ed6d538aeb2f},
{0xe5d3ef282a242e81, 0x8f1668c8a86da5fa},
{0x8fa475791a569d10, 0xf96e017d694487bc},
{0xb38d92d760ec4455, 0x37c981dcc395a9ac},
{0xe070f78d3927556a, 0x85bbe253f47b1417},
{0x8c469ab843b89562, 0x93956d7478ccec8e},
{0xaf58416654a6babb, 0x387ac8d1970027b2},
{0xdb2e51bfe9d0696a, 0x06997b05fcc0319e},
{0x88fcf317f22241e2, 0x441fece3bdf81f03},
{0xab3c2fddeeaad25a, 0xd527e81cad7626c3},
{0xd60b3bd56a5586f1, 0x8a71e223d8d3b074},
{0x85c7056562757456, 0xf6872d5667844e49},
{0xa738c6bebb12d16c, 0xb428f8ac016561db},
{0xd106f86e69d785c7, 0xe13336d701beba52},
{0x82a45b450226b39c, 0xecc0024661173473},
{0xa34d721642b06084, 0x27f002d7f95d0190},
{0xcc20ce9bd35c78a5, 0x31ec038df7b441f4},
{0xff290242c83396ce, 0x7e67047175a15271},
{0x9f79a169bd203e41, 0x0f0062c6e984d386},
{0xc75809c42c684dd1, 0x52c07b78a3e60868},
{0xf92e0c3537826145, 0xa7709a56ccdf8a82},
{0x9bbcc7a142b17ccb, 0x88a66076400bb691},
{0xc2abf989935ddbfe, 0x6acff893d00ea435},
{0xf356f7ebf83552fe, 0x0583f6b8c4124d43},
{0x98165af37b2153de, 0xc3727a337a8b704a},
{0xbe1bf1b059e9a8d6, 0x744f18c0592e4c5c},
{0xeda2ee1c7064130c, 0x1162def06f79df73},
{0x9485d4d1c63e8be7, 0x8addcb5645ac2ba8},
{0xb9a74a0637ce2ee1, 0x6d953e2bd7173692},
{0xe8111c87c5c1ba99, 0xc8fa8db6ccdd0437},
{0x910ab1d4db9914a0, 0x1d9c9892400a22a2},
{0xb54d5e4a127f59c8, 0x2503beb6d00cab4b},
{0xe2a0b5dc971f303a, 0x2e44ae64840fd61d},
{0x8da471a9de737e24, 0x5ceaecfed289e5d2},
{0xb10d8e1456105dad, 0x7425a83e872c5f47},
{0xdd50f1996b947518, 0xd12f124e28f77719},
{0x8a5296ffe33cc92f, 0x82bd6b70d99aaa6f},
{0xace73cbfdc0bfb7b, 0x636cc64d1001550b},
{0xd8210befd30efa5a, 0x3c47f7e05401aa4e},
{0x8714a775e3e95c78, 0x65acfaec34810a71},
{0xa8d9d1535ce3b396, 0x7f1839a741a14d0d},
{0xd31045a8341ca07c, 0x1ede48111209a050},
{0x83ea2b892091e44d, 0x934aed0aab460432},
{0xa4e4b66b68b65d60, 0xf81da84d5617853f},
{0xce1de40642e3f4b9, 0x36251260ab9d668e},
{0x80d2ae83e9ce78f3, 0xc1d72b7c6b426019},
{0xa1075a24e4421730, 0xb24cf65b8612f81f},
{0xc94930ae1d529cfc, 0xdee033f26797b627},
{0xfb9b7cd9a4a7443c, 0x169840ef017da3b1},
{0x9d412e0806e88aa5, 0x8e1f289560ee864e},
{0xc491798a08a2ad4e, 0xf1a6f2bab92a27e2},
{0xf5b5d7ec8acb58a2, 0xae10af696774b1db},
{0x9991a6f3d6bf1765, 0xacca6da1e0a8ef29},
{0xbff610b0cc6edd3f, 0x17fd090a58d32af3},
{0xeff394dcff8a948e, 0xddfc4b4cef07f5b0},
{0x95f83d0a1fb69cd9, 0x4abdaf101564f98e},
{0xbb764c4ca7a4440f, 0x9d6d1ad41abe37f1},
{0xea53df5fd18d5513, 0x84c86189216dc5ed},
{0x92746b9be2f8552c, 0x32fd3cf5b4e49bb4},
{0xb7118682dbb66a77, 0x3fbc8c33221dc2a1},
{0xe4d5e82392a40515, 0x0fabaf3feaa5334a},
{0x8f05b1163ba6832d, 0x29cb4d87f2a7400e},
{0xb2c71d5bca9023f8, 0x743e20e9ef511012},
{0xdf78e4b2bd342cf6, 0x914da9246b255416},
{0x8bab8eefb6409c1a, 0x1ad089b6c2f7548e},
{0xae9672aba3d0c320, 0xa184ac2473b529b1},
{0xda3c0f568cc4f3e8, 0xc9e5d72d90a2741e},
{0x8865899617fb1871, 0x7e2fa67c7a658892},
{0xaa7eebfb9df9de8d, 0xddbb901b98feeab7},
{0xd51ea6fa85785631, 0x552a74227f3ea565},
{0x8533285c936b35de, 0xd53a88958f87275f},
{0xa67ff273b8460356, 0x8a892abaf368f137},
{0xd01fef10a657842c, 0x2d2b7569b0432d85},
{0x8213f56a67f6b29b, 0x9c3b29620e29fc73},
{0xa298f2c501f45f42, 0x8349f3ba91b47b8f},
{0xcb3f2f7642717713, 0x241c70a936219a73},
{0xfe0efb53d30dd4d7, 0xed238cd383aa0110},
{0x9ec95d1463e8a506, 0xf4363804324a40aa},
{0xc67bb4597ce2ce48, 0xb143c6053edcd0d5},
{0xf81aa16fdc1b81da, 0xdd94b7868e94050a},
{0x9b10a4e5e9913128, 0xca7cf2b4191c8326},
{0xc1d4ce1f63f57d72, 0xfd1c2f611f63a3f0},
{0xf24a01a73cf2dccf, 0xbc633b39673c8cec},
{0x976e41088617ca01, 0xd5be0503e085d813},
{0xbd49d14aa79dbc82, 0x4b2d8644d8a74e18},
{0xec9c459d51852ba2, 0xddf8e7d60ed1219e},
{0x93e1ab8252f33b45, 0xcabb90e5c942b503},
{0xb8da1662e7b00a17, 0x3d6a751f3b936243},
{0xe7109bfba19c0c9d, 0x0cc512670a783ad4},
{0x906a617d450187e2, 0x27fb2b80668b24c5},
{0xb484f9dc9641e9da, 0xb1f9f660802dedf6},
{0xe1a63853bbd26451, 0x5e7873f8a0396973},
{0x8d07e33455637eb2, 0xdb0b487b6423e1e8},
{0xb049dc016abc5e5f, 0x91ce1a9a3d2cda62},
{0xdc5c5301c56b75f7, 0x7641a140cc7810fb},
{0x89b9b3e11b6329ba, 0xa9e904c87fcb0a9d},
{0xac2820d9623bf429, 0x546345fa9fbdcd44},
{0xd732290fbacaf133, 0xa97c177947ad4095},
{0x867f59a9d4bed6c0, 0x49ed8eabcccc485d},
{0xa81f301449ee8c70, 0x5c68f256bfff5a74},
{0xd226fc195c6a2f8c, 0x73832eec6fff3111},
{0x83585d8fd9c25db7, 0xc831fd53c5ff7eab},
{0xa42e74f3d032f525, 0xba3e7ca8b77f5e55},
{0xcd3a1230c43fb26f, 0x28ce1bd2e55f35eb},
{0x80444b5e7aa7cf85, 0x7980d163cf5b81b3},
{0xa0555e361951c366, 0xd7e105bcc332621f},
{0xc86ab5c39fa63440, 0x8dd9472bf3fefaa7},
{0xfa856334878fc150, 0xb14f98f6f0feb951},
{0x9c935e00d4b9d8d2, 0x6ed1bf9a569f33d3},
{0xc3b8358109e84f07, 0x0a862f80ec4700c8},
{0xf4a642e14c6262c8, 0xcd27bb612758c0fa},
{0x98e7e9cccfbd7dbd, 0x8038d51cb897789c},
{0xbf21e44003acdd2c, 0xe0470a63e6bd56c3},
{0xeeea5d5004981478, 0x1858ccfce06cac74},
{0x95527a5202df0ccb, 0x0f37801e0c43ebc8},
{0xbaa718e68396cffd, 0xd30560258f54e6ba},
{0xe950df20247c83fd, 0x47c6b82ef32a2069},
{0x91d28b7416cdd27e, 0x4cdc331d57fa5441},
{0xb6472e511c81471d, 0xe0133fe4adf8e952},
{0xe3d8f9e563a198e5, 0x58180fddd97723a6},
{0x8e679c2f5e44ff8f, 0x570f09eaa7ea7648},
{0xb201833b35d63f73, 0x2cd2cc6551e513da},
{0xde81e40a034bcf4f, 0xf8077f7ea65e58d1},
{0x8b112e86420f6191, 0xfb04afaf27faf782},
{0xadd57a27d29339f6, 0x79c5db9af1f9b563},
{0xd94ad8b1c7380874, 0x18375281ae7822bc},
{0x87cec76f1c830548, 0x8f2293910d0b15b5},
{0xa9c2794ae3a3c69a, 0xb2eb3875504ddb22},
{0xd433179d9c8cb841, 0x5fa60692a46151eb},
{0x849feec281d7f328, 0xdbc7c41ba6bcd333},
{0xa5c7ea73224deff3, 0x12b9b522906c0800},
{0xcf39e50feae16bef, 0xd768226b34870a00},
{0x81842f29f2cce375, 0xe6a1158300d46640},
{0xa1e53af46f801c53, 0x60495ae3c1097fd0},
{0xca5e89b18b602368, 0x385bb19cb14bdfc4},
{0xfcf62c1dee382c42, 0x46729e03dd9ed7b5},
{0x9e19db92b4e31ba9, 0x6c07a2c26a8346d1},
{0xc5a05277621be293, 0xc7098b7305241885},
{0xf70867153aa2db38, 0xb8cbee4fc66d1ea7}
#else
{0xff77b1fcbebcdc4f, 0x25e8e89c13bb0f7b},
{0xce5d73ff402d98e3, 0xfb0a3d212dc81290},
{0xa6b34ad8c9dfc06f, 0xf42faa48c0ea481f},
{0x86a8d39ef77164bc, 0xae5dff9c02033198},
{0xd98ddaee19068c76, 0x3badd624dd9b0958},
{0xafbd2350644eeacf, 0xe5d1929ef90898fb},
{0x8df5efabc5979c8f, 0xca8d3ffa1ef463c2},
{0xe55990879ddcaabd, 0xcc420a6a101d0516},
{0xb94470938fa89bce, 0xf808e40e8d5b3e6a},
{0x95a8637627989aad, 0xdde7001379a44aa9},
{0xf1c90080baf72cb1, 0x5324c68b12dd6339},
{0xc350000000000000, 0x0000000000000000},
{0x9dc5ada82b70b59d, 0xf020000000000000},
{0xfee50b7025c36a08, 0x02f236d04753d5b4},
{0xcde6fd5e09abcf26, 0xed4c0226b55e6f86},
{0xa6539930bf6bff45, 0x84db8346b786151c},
{0x865b86925b9bc5c2, 0x0b8a2392ba45a9b2},
{0xd910f7ff28069da4, 0x1b2ba1518094da04},
{0xaf58416654a6babb, 0x387ac8d1970027b2},
{0x8da471a9de737e24, 0x5ceaecfed289e5d2},
{0xe4d5e82392a40515, 0x0fabaf3feaa5334a},
{0xb8da1662e7b00a17, 0x3d6a751f3b936243},
{0x95527a5202df0ccb, 0x0f37801e0c43ebc8}
#endif
};
#if !FMT_USE_FULL_CACHE_DRAGONBOX
template <typename T>
const uint64_t basic_data<T>::powers_of_5_64[] = {
0x0000000000000001, 0x0000000000000005, 0x0000000000000019,
0x000000000000007d, 0x0000000000000271, 0x0000000000000c35,
0x0000000000003d09, 0x000000000001312d, 0x000000000005f5e1,
0x00000000001dcd65, 0x00000000009502f9, 0x0000000002e90edd,
0x000000000e8d4a51, 0x0000000048c27395, 0x000000016bcc41e9,
0x000000071afd498d, 0x0000002386f26fc1, 0x000000b1a2bc2ec5,
0x000003782dace9d9, 0x00001158e460913d, 0x000056bc75e2d631,
0x0001b1ae4d6e2ef5, 0x000878678326eac9, 0x002a5a058fc295ed,
0x00d3c21bcecceda1, 0x0422ca8b0a00a425, 0x14adf4b7320334b9};
template <typename T>
const uint32_t basic_data<T>::dragonbox_pow10_recovery_errors[] = {
0x50001400, 0x54044100, 0x54014555, 0x55954415, 0x54115555, 0x00000001,
0x50000000, 0x00104000, 0x54010004, 0x05004001, 0x55555544, 0x41545555,
0x54040551, 0x15445545, 0x51555514, 0x10000015, 0x00101100, 0x01100015,
0x00000000, 0x00000000, 0x00000000, 0x00000000, 0x04450514, 0x45414110,
0x55555145, 0x50544050, 0x15040155, 0x11054140, 0x50111514, 0x11451454,
0x00400541, 0x00000000, 0x55555450, 0x10056551, 0x10054011, 0x55551014,
0x69514555, 0x05151109, 0x00155555};
#endif
template <typename T>
const char basic_data<T>::foreground_color[] = "\x1b[38;2;";
template <typename T>
const char basic_data<T>::background_color[] = "\x1b[48;2;";
template <typename T> const char basic_data<T>::reset_color[] = "\x1b[0m";
template <typename T> const wchar_t basic_data<T>::wreset_color[] = L"\x1b[0m";
template <typename T> const char basic_data<T>::signs[] = {0, '-', '+', ' '};
template <typename T>
const char basic_data<T>::left_padding_shifts[] = {31, 31, 0, 1, 0};
template <typename T>
const char basic_data<T>::right_padding_shifts[] = {0, 31, 0, 1, 0};
template <typename T> struct bits {
static FMT_CONSTEXPR_DECL const int value =
static_cast<int>(sizeof(T) * std::numeric_limits<unsigned char>::digits);
};
class fp;
template <int SHIFT = 0> fp normalize(fp value);
// Lower (upper) boundary is a value half way between a floating-point value
// and its predecessor (successor). Boundaries have the same exponent as the
// value so only significands are stored.
struct boundaries {
uint64_t lower;
uint64_t upper;
};
// A handmade floating-point number f * pow(2, e).
class fp {
private:
using significand_type = uint64_t;
template <typename Float>
using is_supported_float = bool_constant<sizeof(Float) == sizeof(uint64_t) ||
sizeof(Float) == sizeof(uint32_t)>;
public:
significand_type f;
int e;
// All sizes are in bits.
// Subtract 1 to account for an implicit most significant bit in the
// normalized form.
static FMT_CONSTEXPR_DECL const int double_significand_size =
std::numeric_limits<double>::digits - 1;
static FMT_CONSTEXPR_DECL const uint64_t implicit_bit =
1ULL << double_significand_size;
static FMT_CONSTEXPR_DECL const int significand_size =
bits<significand_type>::value;
fp() : f(0), e(0) {}
fp(uint64_t f_val, int e_val) : f(f_val), e(e_val) {}
// Constructs fp from an IEEE754 double. It is a template to prevent compile
// errors on platforms where double is not IEEE754.
template <typename Double> explicit fp(Double d) { assign(d); }
// Assigns d to this and return true iff predecessor is closer than successor.
template <typename Float, FMT_ENABLE_IF(is_supported_float<Float>::value)>
bool assign(Float d) {
// Assume float is in the format [sign][exponent][significand].
using limits = std::numeric_limits<Float>;
const int float_significand_size = limits::digits - 1;
const int exponent_size =
bits<Float>::value - float_significand_size - 1; // -1 for sign
const uint64_t float_implicit_bit = 1ULL << float_significand_size;
const uint64_t significand_mask = float_implicit_bit - 1;
const uint64_t exponent_mask = (~0ULL >> 1) & ~significand_mask;
const int exponent_bias = (1 << exponent_size) - limits::max_exponent - 1;
constexpr bool is_double = sizeof(Float) == sizeof(uint64_t);
auto u = bit_cast<conditional_t<is_double, uint64_t, uint32_t>>(d);
f = u & significand_mask;
int biased_e =
static_cast<int>((u & exponent_mask) >> float_significand_size);
// Predecessor is closer if d is a normalized power of 2 (f == 0) other than
// the smallest normalized number (biased_e > 1).
bool is_predecessor_closer = f == 0 && biased_e > 1;
if (biased_e != 0)
f += float_implicit_bit;
else
biased_e = 1; // Subnormals use biased exponent 1 (min exponent).
e = biased_e - exponent_bias - float_significand_size;
return is_predecessor_closer;
}
template <typename Float, FMT_ENABLE_IF(!is_supported_float<Float>::value)>
bool assign(Float) {
*this = fp();
return false;
}
};
// Normalizes the value converted from double and multiplied by (1 << SHIFT).
template <int SHIFT> fp normalize(fp value) {
// Handle subnormals.
const auto shifted_implicit_bit = fp::implicit_bit << SHIFT;
while ((value.f & shifted_implicit_bit) == 0) {
value.f <<= 1;
--value.e;
}
// Subtract 1 to account for hidden bit.
const auto offset =
fp::significand_size - fp::double_significand_size - SHIFT - 1;
value.f <<= offset;
value.e -= offset;
return value;
}
inline bool operator==(fp x, fp y) { return x.f == y.f && x.e == y.e; }
// Computes lhs * rhs / pow(2, 64) rounded to nearest with half-up tie breaking.
inline uint64_t multiply(uint64_t lhs, uint64_t rhs) {
#if FMT_USE_INT128
auto product = static_cast<__uint128_t>(lhs) * rhs;
auto f = static_cast<uint64_t>(product >> 64);
return (static_cast<uint64_t>(product) & (1ULL << 63)) != 0 ? f + 1 : f;
#else
// Multiply 32-bit parts of significands.
uint64_t mask = (1ULL << 32) - 1;
uint64_t a = lhs >> 32, b = lhs & mask;
uint64_t c = rhs >> 32, d = rhs & mask;
uint64_t ac = a * c, bc = b * c, ad = a * d, bd = b * d;
// Compute mid 64-bit of result and round.
uint64_t mid = (bd >> 32) + (ad & mask) + (bc & mask) + (1U << 31);
return ac + (ad >> 32) + (bc >> 32) + (mid >> 32);
#endif
}
inline fp operator*(fp x, fp y) { return {multiply(x.f, y.f), x.e + y.e + 64}; }
// Returns a cached power of 10 `c_k = c_k.f * pow(2, c_k.e)` such that its
// (binary) exponent satisfies `min_exponent <= c_k.e <= min_exponent + 28`.
inline fp get_cached_power(int min_exponent, int& pow10_exponent) {
const int shift = 32;
const auto significand = static_cast<int64_t>(data::log10_2_significand);
int index = static_cast<int>(
((min_exponent + fp::significand_size - 1) * (significand >> shift) +
((int64_t(1) << shift) - 1)) // ceil
>> 32 // arithmetic shift
);
// Decimal exponent of the first (smallest) cached power of 10.
const int first_dec_exp = -348;
// Difference between 2 consecutive decimal exponents in cached powers of 10.
const int dec_exp_step = 8;
index = (index - first_dec_exp - 1) / dec_exp_step + 1;
pow10_exponent = first_dec_exp + index * dec_exp_step;
return {data::grisu_pow10_significands[index],
data::grisu_pow10_exponents[index]};
}
// A simple accumulator to hold the sums of terms in bigint::square if uint128_t
// is not available.
struct accumulator {
uint64_t lower;
uint64_t upper;
accumulator() : lower(0), upper(0) {}
explicit operator uint32_t() const { return static_cast<uint32_t>(lower); }
void operator+=(uint64_t n) {
lower += n;
if (lower < n) ++upper;
}
void operator>>=(int shift) {
assert(shift == 32);
(void)shift;
lower = (upper << 32) | (lower >> 32);
upper >>= 32;
}
};
class bigint {
private:
// A bigint is stored as an array of bigits (big digits), with bigit at index
// 0 being the least significant one.
using bigit = uint32_t;
using double_bigit = uint64_t;
enum { bigits_capacity = 32 };
basic_memory_buffer<bigit, bigits_capacity> bigits_;
int exp_;
bigit operator[](int index) const { return bigits_[to_unsigned(index)]; }
bigit& operator[](int index) { return bigits_[to_unsigned(index)]; }
static FMT_CONSTEXPR_DECL const int bigit_bits = bits<bigit>::value;
friend struct formatter<bigint>;
void subtract_bigits(int index, bigit other, bigit& borrow) {
auto result = static_cast<double_bigit>((*this)[index]) - other - borrow;
(*this)[index] = static_cast<bigit>(result);
borrow = static_cast<bigit>(result >> (bigit_bits * 2 - 1));
}
void remove_leading_zeros() {
int num_bigits = static_cast<int>(bigits_.size()) - 1;
while (num_bigits > 0 && (*this)[num_bigits] == 0) --num_bigits;
bigits_.resize(to_unsigned(num_bigits + 1));
}
// Computes *this -= other assuming aligned bigints and *this >= other.
void subtract_aligned(const bigint& other) {
FMT_ASSERT(other.exp_ >= exp_, "unaligned bigints");
FMT_ASSERT(compare(*this, other) >= 0, "");
bigit borrow = 0;
int i = other.exp_ - exp_;
for (size_t j = 0, n = other.bigits_.size(); j != n; ++i, ++j)
subtract_bigits(i, other.bigits_[j], borrow);
while (borrow > 0) subtract_bigits(i, 0, borrow);
remove_leading_zeros();
}
void multiply(uint32_t value) {
const double_bigit wide_value = value;
bigit carry = 0;
for (size_t i = 0, n = bigits_.size(); i < n; ++i) {
double_bigit result = bigits_[i] * wide_value + carry;
bigits_[i] = static_cast<bigit>(result);
carry = static_cast<bigit>(result >> bigit_bits);
}
if (carry != 0) bigits_.push_back(carry);
}
void multiply(uint64_t value) {
const bigit mask = ~bigit(0);
const double_bigit lower = value & mask;
const double_bigit upper = value >> bigit_bits;
double_bigit carry = 0;
for (size_t i = 0, n = bigits_.size(); i < n; ++i) {
double_bigit result = bigits_[i] * lower + (carry & mask);
carry =
bigits_[i] * upper + (result >> bigit_bits) + (carry >> bigit_bits);
bigits_[i] = static_cast<bigit>(result);
}
while (carry != 0) {
bigits_.push_back(carry & mask);
carry >>= bigit_bits;
}
}
public:
bigint() : exp_(0) {}
explicit bigint(uint64_t n) { assign(n); }
~bigint() { assert(bigits_.capacity() <= bigits_capacity); }
bigint(const bigint&) = delete;
void operator=(const bigint&) = delete;
void assign(const bigint& other) {
auto size = other.bigits_.size();
bigits_.resize(size);
auto data = other.bigits_.data();
std::copy(data, data + size, make_checked(bigits_.data(), size));
exp_ = other.exp_;
}
void assign(uint64_t n) {
size_t num_bigits = 0;
do {
bigits_[num_bigits++] = n & ~bigit(0);
n >>= bigit_bits;
} while (n != 0);
bigits_.resize(num_bigits);
exp_ = 0;
}
int num_bigits() const { return static_cast<int>(bigits_.size()) + exp_; }
FMT_NOINLINE bigint& operator<<=(int shift) {
assert(shift >= 0);
exp_ += shift / bigit_bits;
shift %= bigit_bits;
if (shift == 0) return *this;
bigit carry = 0;
for (size_t i = 0, n = bigits_.size(); i < n; ++i) {
bigit c = bigits_[i] >> (bigit_bits - shift);
bigits_[i] = (bigits_[i] << shift) + carry;
carry = c;
}
if (carry != 0) bigits_.push_back(carry);
return *this;
}
template <typename Int> bigint& operator*=(Int value) {
FMT_ASSERT(value > 0, "");
multiply(uint32_or_64_or_128_t<Int>(value));
return *this;
}
friend int compare(const bigint& lhs, const bigint& rhs) {
int num_lhs_bigits = lhs.num_bigits(), num_rhs_bigits = rhs.num_bigits();
if (num_lhs_bigits != num_rhs_bigits)
return num_lhs_bigits > num_rhs_bigits ? 1 : -1;
int i = static_cast<int>(lhs.bigits_.size()) - 1;
int j = static_cast<int>(rhs.bigits_.size()) - 1;
int end = i - j;
if (end < 0) end = 0;
for (; i >= end; --i, --j) {
bigit lhs_bigit = lhs[i], rhs_bigit = rhs[j];
if (lhs_bigit != rhs_bigit) return lhs_bigit > rhs_bigit ? 1 : -1;
}
if (i != j) return i > j ? 1 : -1;
return 0;
}
// Returns compare(lhs1 + lhs2, rhs).
friend int add_compare(const bigint& lhs1, const bigint& lhs2,
const bigint& rhs) {
int max_lhs_bigits = (std::max)(lhs1.num_bigits(), lhs2.num_bigits());
int num_rhs_bigits = rhs.num_bigits();
if (max_lhs_bigits + 1 < num_rhs_bigits) return -1;
if (max_lhs_bigits > num_rhs_bigits) return 1;
auto get_bigit = [](const bigint& n, int i) -> bigit {
return i >= n.exp_ && i < n.num_bigits() ? n[i - n.exp_] : 0;
};
double_bigit borrow = 0;
int min_exp = (std::min)((std::min)(lhs1.exp_, lhs2.exp_), rhs.exp_);
for (int i = num_rhs_bigits - 1; i >= min_exp; --i) {
double_bigit sum =
static_cast<double_bigit>(get_bigit(lhs1, i)) + get_bigit(lhs2, i);
bigit rhs_bigit = get_bigit(rhs, i);
if (sum > rhs_bigit + borrow) return 1;
borrow = rhs_bigit + borrow - sum;
if (borrow > 1) return -1;
borrow <<= bigit_bits;
}
return borrow != 0 ? -1 : 0;
}
// Assigns pow(10, exp) to this bigint.
void assign_pow10(int exp) {
assert(exp >= 0);
if (exp == 0) return assign(1);
// Find the top bit.
int bitmask = 1;
while (exp >= bitmask) bitmask <<= 1;
bitmask >>= 1;
// pow(10, exp) = pow(5, exp) * pow(2, exp). First compute pow(5, exp) by
// repeated squaring and multiplication.
assign(5);
bitmask >>= 1;
while (bitmask != 0) {
square();
if ((exp & bitmask) != 0) *this *= 5;
bitmask >>= 1;
}
*this <<= exp; // Multiply by pow(2, exp) by shifting.
}
void square() {
basic_memory_buffer<bigit, bigits_capacity> n(std::move(bigits_));
int num_bigits = static_cast<int>(bigits_.size());
int num_result_bigits = 2 * num_bigits;
bigits_.resize(to_unsigned(num_result_bigits));
using accumulator_t = conditional_t<FMT_USE_INT128, uint128_t, accumulator>;
auto sum = accumulator_t();
for (int bigit_index = 0; bigit_index < num_bigits; ++bigit_index) {
// Compute bigit at position bigit_index of the result by adding
// cross-product terms n[i] * n[j] such that i + j == bigit_index.
for (int i = 0, j = bigit_index; j >= 0; ++i, --j) {
// Most terms are multiplied twice which can be optimized in the future.
sum += static_cast<double_bigit>(n[i]) * n[j];
}
(*this)[bigit_index] = static_cast<bigit>(sum);
sum >>= bits<bigit>::value; // Compute the carry.
}
// Do the same for the top half.
for (int bigit_index = num_bigits; bigit_index < num_result_bigits;
++bigit_index) {
for (int j = num_bigits - 1, i = bigit_index - j; i < num_bigits;)
sum += static_cast<double_bigit>(n[i++]) * n[j--];
(*this)[bigit_index] = static_cast<bigit>(sum);
sum >>= bits<bigit>::value;
}
--num_result_bigits;
remove_leading_zeros();
exp_ *= 2;
}
// If this bigint has a bigger exponent than other, adds trailing zero to make
// exponents equal. This simplifies some operations such as subtraction.
void align(const bigint& other) {
int exp_difference = exp_ - other.exp_;
if (exp_difference <= 0) return;
int num_bigits = static_cast<int>(bigits_.size());
bigits_.resize(to_unsigned(num_bigits + exp_difference));
for (int i = num_bigits - 1, j = i + exp_difference; i >= 0; --i, --j)
bigits_[j] = bigits_[i];
std::uninitialized_fill_n(bigits_.data(), exp_difference, 0);
exp_ -= exp_difference;
}
// Divides this bignum by divisor, assigning the remainder to this and
// returning the quotient.
int divmod_assign(const bigint& divisor) {
FMT_ASSERT(this != &divisor, "");
if (compare(*this, divisor) < 0) return 0;
FMT_ASSERT(divisor.bigits_[divisor.bigits_.size() - 1u] != 0, "");
align(divisor);
int quotient = 0;
do {
subtract_aligned(divisor);
++quotient;
} while (compare(*this, divisor) >= 0);
return quotient;
}
};
enum class round_direction { unknown, up, down };
// Given the divisor (normally a power of 10), the remainder = v % divisor for
// some number v and the error, returns whether v should be rounded up, down, or
// whether the rounding direction can't be determined due to error.
// error should be less than divisor / 2.
inline round_direction get_round_direction(uint64_t divisor, uint64_t remainder,
uint64_t error) {
FMT_ASSERT(remainder < divisor, ""); // divisor - remainder won't overflow.
FMT_ASSERT(error < divisor, ""); // divisor - error won't overflow.
FMT_ASSERT(error < divisor - error, ""); // error * 2 won't overflow.
// Round down if (remainder + error) * 2 <= divisor.
if (remainder <= divisor - remainder && error * 2 <= divisor - remainder * 2)
return round_direction::down;
// Round up if (remainder - error) * 2 >= divisor.
if (remainder >= error &&
remainder - error >= divisor - (remainder - error)) {
return round_direction::up;
}
return round_direction::unknown;
}
namespace digits {
enum result {
more, // Generate more digits.
done, // Done generating digits.
error // Digit generation cancelled due to an error.
};
}
// Generates output using the Grisu digit-gen algorithm.
// error: the size of the region (lower, upper) outside of which numbers
// definitely do not round to value (Delta in Grisu3).
template <typename Handler>
FMT_ALWAYS_INLINE digits::result grisu_gen_digits(fp value, uint64_t error,
int& exp, Handler& handler) {
const fp one(1ULL << -value.e, value.e);
// The integral part of scaled value (p1 in Grisu) = value / one. It cannot be
// zero because it contains a product of two 64-bit numbers with MSB set (due
// to normalization) - 1, shifted right by at most 60 bits.
auto integral = static_cast<uint32_t>(value.f >> -one.e);
FMT_ASSERT(integral != 0, "");
FMT_ASSERT(integral == value.f >> -one.e, "");
// The fractional part of scaled value (p2 in Grisu) c = value % one.
uint64_t fractional = value.f & (one.f - 1);
exp = count_digits(integral); // kappa in Grisu.
// Divide by 10 to prevent overflow.
auto result = handler.on_start(data::powers_of_10_64[exp - 1] << -one.e,
value.f / 10, error * 10, exp);
if (result != digits::more) return result;
// Generate digits for the integral part. This can produce up to 10 digits.
do {
uint32_t digit = 0;
auto divmod_integral = [&](uint32_t divisor) {
digit = integral / divisor;
integral %= divisor;
};
// This optimization by Milo Yip reduces the number of integer divisions by
// one per iteration.
switch (exp) {
case 10:
divmod_integral(1000000000);
break;
case 9:
divmod_integral(100000000);
break;
case 8:
divmod_integral(10000000);
break;
case 7:
divmod_integral(1000000);
break;
case 6:
divmod_integral(100000);
break;
case 5:
divmod_integral(10000);
break;
case 4:
divmod_integral(1000);
break;
case 3:
divmod_integral(100);
break;
case 2:
divmod_integral(10);
break;
case 1:
digit = integral;
integral = 0;
break;
default:
FMT_ASSERT(false, "invalid number of digits");
}
--exp;
auto remainder = (static_cast<uint64_t>(integral) << -one.e) + fractional;
result = handler.on_digit(static_cast<char>('0' + digit),
data::powers_of_10_64[exp] << -one.e, remainder,
error, exp, true);
if (result != digits::more) return result;
} while (exp > 0);
// Generate digits for the fractional part.
for (;;) {
fractional *= 10;
error *= 10;
char digit = static_cast<char>('0' + (fractional >> -one.e));
fractional &= one.f - 1;
--exp;
result = handler.on_digit(digit, one.f, fractional, error, exp, false);
if (result != digits::more) return result;
}
}
// The fixed precision digit handler.
struct fixed_handler {
char* buf;
int size;
int precision;
int exp10;
bool fixed;
digits::result on_start(uint64_t divisor, uint64_t remainder, uint64_t error,
int& exp) {
// Non-fixed formats require at least one digit and no precision adjustment.
if (!fixed) return digits::more;
// Adjust fixed precision by exponent because it is relative to decimal
// point.
precision += exp + exp10;
// Check if precision is satisfied just by leading zeros, e.g.
// format("{:.2f}", 0.001) gives "0.00" without generating any digits.
if (precision > 0) return digits::more;
if (precision < 0) return digits::done;
auto dir = get_round_direction(divisor, remainder, error);
if (dir == round_direction::unknown) return digits::error;
buf[size++] = dir == round_direction::up ? '1' : '0';
return digits::done;
}
digits::result on_digit(char digit, uint64_t divisor, uint64_t remainder,
uint64_t error, int, bool integral) {
FMT_ASSERT(remainder < divisor, "");
buf[size++] = digit;
if (!integral && error >= remainder) return digits::error;
if (size < precision) return digits::more;
if (!integral) {
// Check if error * 2 < divisor with overflow prevention.
// The check is not needed for the integral part because error = 1
// and divisor > (1 << 32) there.
if (error >= divisor || error >= divisor - error) return digits::error;
} else {
FMT_ASSERT(error == 1 && divisor > 2, "");
}
auto dir = get_round_direction(divisor, remainder, error);
if (dir != round_direction::up)
return dir == round_direction::down ? digits::done : digits::error;
++buf[size - 1];
for (int i = size - 1; i > 0 && buf[i] > '9'; --i) {
buf[i] = '0';
++buf[i - 1];
}
if (buf[0] > '9') {
buf[0] = '1';
if (fixed)
buf[size++] = '0';
else
++exp10;
}
return digits::done;
}
};
// Implementation of Dragonbox algorithm: https://github.com/jk-jeon/dragonbox.
namespace dragonbox {
// Computes 128-bit result of multiplication of two 64-bit unsigned integers.
FMT_SAFEBUFFERS inline uint128_wrapper umul128(uint64_t x,
uint64_t y) FMT_NOEXCEPT {
#if FMT_USE_INT128
return static_cast<uint128_t>(x) * static_cast<uint128_t>(y);
#elif defined(_MSC_VER) && defined(_M_X64)
uint128_wrapper result;
result.low_ = _umul128(x, y, &result.high_);
return result;
#else
const uint64_t mask = (uint64_t(1) << 32) - uint64_t(1);
uint64_t a = x >> 32;
uint64_t b = x & mask;
uint64_t c = y >> 32;
uint64_t d = y & mask;
uint64_t ac = a * c;
uint64_t bc = b * c;
uint64_t ad = a * d;
uint64_t bd = b * d;
uint64_t intermediate = (bd >> 32) + (ad & mask) + (bc & mask);
return {ac + (intermediate >> 32) + (ad >> 32) + (bc >> 32),
(intermediate << 32) + (bd & mask)};
#endif
}
// Computes upper 64 bits of multiplication of two 64-bit unsigned integers.
FMT_SAFEBUFFERS inline uint64_t umul128_upper64(uint64_t x,
uint64_t y) FMT_NOEXCEPT {
#if FMT_USE_INT128
auto p = static_cast<uint128_t>(x) * static_cast<uint128_t>(y);
return static_cast<uint64_t>(p >> 64);
#elif defined(_MSC_VER) && defined(_M_X64)
return __umulh(x, y);
#else
return umul128(x, y).high();
#endif
}
// Computes upper 64 bits of multiplication of a 64-bit unsigned integer and a
// 128-bit unsigned integer.
FMT_SAFEBUFFERS inline uint64_t umul192_upper64(uint64_t x, uint128_wrapper y)
FMT_NOEXCEPT {
uint128_wrapper g0 = umul128(x, y.high());
g0 += umul128_upper64(x, y.low());
return g0.high();
}
// Computes upper 32 bits of multiplication of a 32-bit unsigned integer and a
// 64-bit unsigned integer.
inline uint32_t umul96_upper32(uint32_t x, uint64_t y) FMT_NOEXCEPT {
return static_cast<uint32_t>(umul128_upper64(x, y));
}
// Computes middle 64 bits of multiplication of a 64-bit unsigned integer and a
// 128-bit unsigned integer.
FMT_SAFEBUFFERS inline uint64_t umul192_middle64(uint64_t x, uint128_wrapper y)
FMT_NOEXCEPT {
uint64_t g01 = x * y.high();
uint64_t g10 = umul128_upper64(x, y.low());
return g01 + g10;
}
// Computes lower 64 bits of multiplication of a 32-bit unsigned integer and a
// 64-bit unsigned integer.
inline uint64_t umul96_lower64(uint32_t x, uint64_t y) FMT_NOEXCEPT {
return x * y;
}
// Computes floor(log10(pow(2, e))) for e in [-1700, 1700] using the method from
// https://fmt.dev/papers/Grisu-Exact.pdf#page=5, section 3.4.
inline int floor_log10_pow2(int e) FMT_NOEXCEPT {
FMT_ASSERT(e <= 1700 && e >= -1700, "too large exponent");
const int shift = 22;
return (e * static_cast<int>(data::log10_2_significand >> (64 - shift))) >>
shift;
}
// Various fast log computations.
inline int floor_log2_pow10(int e) FMT_NOEXCEPT {
FMT_ASSERT(e <= 1233 && e >= -1233, "too large exponent");
const uint64_t log2_10_integer_part = 3;
const uint64_t log2_10_fractional_digits = 0x5269e12f346e2bf9;
const int shift_amount = 19;
return (e * static_cast<int>(
(log2_10_integer_part << shift_amount) |
(log2_10_fractional_digits >> (64 - shift_amount)))) >>
shift_amount;
}
inline int floor_log10_pow2_minus_log10_4_over_3(int e) FMT_NOEXCEPT {
FMT_ASSERT(e <= 1700 && e >= -1700, "too large exponent");
const uint64_t log10_4_over_3_fractional_digits = 0x1ffbfc2bbc780375;
const int shift_amount = 22;
return (e * static_cast<int>(data::log10_2_significand >>
(64 - shift_amount)) -
static_cast<int>(log10_4_over_3_fractional_digits >>
(64 - shift_amount))) >>
shift_amount;
}
// Returns true iff x is divisible by pow(2, exp).
inline bool divisible_by_power_of_2(uint32_t x, int exp) FMT_NOEXCEPT {
FMT_ASSERT(exp >= 1, "");
FMT_ASSERT(x != 0, "");
#ifdef FMT_BUILTIN_CTZ
return FMT_BUILTIN_CTZ(x) >= exp;
#else
return exp < num_bits<uint32_t>() && x == ((x >> exp) << exp);
#endif
}
inline bool divisible_by_power_of_2(uint64_t x, int exp) FMT_NOEXCEPT {
FMT_ASSERT(exp >= 1, "");
FMT_ASSERT(x != 0, "");
#ifdef FMT_BUILTIN_CTZLL
return FMT_BUILTIN_CTZLL(x) >= exp;
#else
return exp < num_bits<uint64_t>() && x == ((x >> exp) << exp);
#endif
}
// Returns true iff x is divisible by pow(5, exp).
inline bool divisible_by_power_of_5(uint32_t x, int exp) FMT_NOEXCEPT {
FMT_ASSERT(exp <= 10, "too large exponent");
return x * data::divtest_table_for_pow5_32[exp].mod_inv <=
data::divtest_table_for_pow5_32[exp].max_quotient;
}
inline bool divisible_by_power_of_5(uint64_t x, int exp) FMT_NOEXCEPT {
FMT_ASSERT(exp <= 23, "too large exponent");
return x * data::divtest_table_for_pow5_64[exp].mod_inv <=
data::divtest_table_for_pow5_64[exp].max_quotient;
}
// Replaces n by floor(n / pow(5, N)) returning true if and only if n is
// divisible by pow(5, N).
// Precondition: n <= 2 * pow(5, N + 1).
template <int N>
bool check_divisibility_and_divide_by_pow5(uint32_t& n) FMT_NOEXCEPT {
static constexpr struct {
uint32_t magic_number;
int bits_for_comparison;
uint32_t threshold;
int shift_amount;
} infos[] = {{0xcccd, 16, 0x3333, 18}, {0xa429, 8, 0x0a, 20}};
constexpr auto info = infos[N - 1];
n *= info.magic_number;
const uint32_t comparison_mask = (1u << info.bits_for_comparison) - 1;
bool result = (n & comparison_mask) <= info.threshold;
n >>= info.shift_amount;
return result;
}
// Computes floor(n / pow(10, N)) for small n and N.
// Precondition: n <= pow(10, N + 1).
template <int N> uint32_t small_division_by_pow10(uint32_t n) FMT_NOEXCEPT {
static constexpr struct {
uint32_t magic_number;
int shift_amount;
uint32_t divisor_times_10;
} infos[] = {{0xcccd, 19, 100}, {0xa3d8, 22, 1000}};
constexpr auto info = infos[N - 1];
FMT_ASSERT(n <= info.divisor_times_10, "n is too large");
return n * info.magic_number >> info.shift_amount;
}
// Computes floor(n / 10^(kappa + 1)) (float)
inline uint32_t divide_by_10_to_kappa_plus_1(uint32_t n) FMT_NOEXCEPT {
return n / float_info<float>::big_divisor;
}
// Computes floor(n / 10^(kappa + 1)) (double)
inline uint64_t divide_by_10_to_kappa_plus_1(uint64_t n) FMT_NOEXCEPT {
return umul128_upper64(n, 0x83126e978d4fdf3c) >> 9;
}
// Various subroutines using pow10 cache
template <class T> struct cache_accessor;
template <> struct cache_accessor<float> {
using carrier_uint = float_info<float>::carrier_uint;
using cache_entry_type = uint64_t;
static uint64_t get_cached_power(int k) FMT_NOEXCEPT {
FMT_ASSERT(k >= float_info<float>::min_k && k <= float_info<float>::max_k,
"k is out of range");
return data::dragonbox_pow10_significands_64[k - float_info<float>::min_k];
}
static carrier_uint compute_mul(carrier_uint u,
const cache_entry_type& cache) FMT_NOEXCEPT {
return umul96_upper32(u, cache);
}
static uint32_t compute_delta(const cache_entry_type& cache,
int beta_minus_1) FMT_NOEXCEPT {
return static_cast<uint32_t>(cache >> (64 - 1 - beta_minus_1));
}
static bool compute_mul_parity(carrier_uint two_f,
const cache_entry_type& cache,
int beta_minus_1) FMT_NOEXCEPT {
FMT_ASSERT(beta_minus_1 >= 1, "");
FMT_ASSERT(beta_minus_1 < 64, "");
return ((umul96_lower64(two_f, cache) >> (64 - beta_minus_1)) & 1) != 0;
}
static carrier_uint compute_left_endpoint_for_shorter_interval_case(
const cache_entry_type& cache, int beta_minus_1) FMT_NOEXCEPT {
return static_cast<carrier_uint>(
(cache - (cache >> (float_info<float>::significand_bits + 2))) >>
(64 - float_info<float>::significand_bits - 1 - beta_minus_1));
}
static carrier_uint compute_right_endpoint_for_shorter_interval_case(
const cache_entry_type& cache, int beta_minus_1) FMT_NOEXCEPT {
return static_cast<carrier_uint>(
(cache + (cache >> (float_info<float>::significand_bits + 1))) >>
(64 - float_info<float>::significand_bits - 1 - beta_minus_1));
}
static carrier_uint compute_round_up_for_shorter_interval_case(
const cache_entry_type& cache, int beta_minus_1) FMT_NOEXCEPT {
return (static_cast<carrier_uint>(
cache >>
(64 - float_info<float>::significand_bits - 2 - beta_minus_1)) +
1) /
2;
}
};
template <> struct cache_accessor<double> {
using carrier_uint = float_info<double>::carrier_uint;
using cache_entry_type = uint128_wrapper;
static uint128_wrapper get_cached_power(int k) FMT_NOEXCEPT {
FMT_ASSERT(k >= float_info<double>::min_k && k <= float_info<double>::max_k,
"k is out of range");
#if FMT_USE_FULL_CACHE_DRAGONBOX
return data::dragonbox_pow10_significands_128[k -
float_info<double>::min_k];
#else
static const int compression_ratio = 27;
// Compute base index.
int cache_index = (k - float_info<double>::min_k) / compression_ratio;
int kb = cache_index * compression_ratio + float_info<double>::min_k;
int offset = k - kb;
// Get base cache.
uint128_wrapper base_cache =
data::dragonbox_pow10_significands_128[cache_index];
if (offset == 0) return base_cache;
// Compute the required amount of bit-shift.
int alpha = floor_log2_pow10(kb + offset) - floor_log2_pow10(kb) - offset;
FMT_ASSERT(alpha > 0 && alpha < 64, "shifting error detected");
// Try to recover the real cache.
uint64_t pow5 = data::powers_of_5_64[offset];
uint128_wrapper recovered_cache = umul128(base_cache.high(), pow5);
uint128_wrapper middle_low =
umul128(base_cache.low() - (kb < 0 ? 1u : 0u), pow5);
recovered_cache += middle_low.high();
uint64_t high_to_middle = recovered_cache.high() << (64 - alpha);
uint64_t middle_to_low = recovered_cache.low() << (64 - alpha);
recovered_cache =
uint128_wrapper{(recovered_cache.low() >> alpha) | high_to_middle,
((middle_low.low() >> alpha) | middle_to_low)};
if (kb < 0) recovered_cache += 1;
// Get error.
int error_idx = (k - float_info<double>::min_k) / 16;
uint32_t error = (data::dragonbox_pow10_recovery_errors[error_idx] >>
((k - float_info<double>::min_k) % 16) * 2) &
0x3;
// Add the error back.
FMT_ASSERT(recovered_cache.low() + error >= recovered_cache.low(), "");
return {recovered_cache.high(), recovered_cache.low() + error};
#endif
}
static carrier_uint compute_mul(carrier_uint u,
const cache_entry_type& cache) FMT_NOEXCEPT {
return umul192_upper64(u, cache);
}
static uint32_t compute_delta(cache_entry_type const& cache,
int beta_minus_1) FMT_NOEXCEPT {
return static_cast<uint32_t>(cache.high() >> (64 - 1 - beta_minus_1));
}
static bool compute_mul_parity(carrier_uint two_f,
const cache_entry_type& cache,
int beta_minus_1) FMT_NOEXCEPT {
FMT_ASSERT(beta_minus_1 >= 1, "");
FMT_ASSERT(beta_minus_1 < 64, "");
return ((umul192_middle64(two_f, cache) >> (64 - beta_minus_1)) & 1) != 0;
}
static carrier_uint compute_left_endpoint_for_shorter_interval_case(
const cache_entry_type& cache, int beta_minus_1) FMT_NOEXCEPT {
return (cache.high() -
(cache.high() >> (float_info<double>::significand_bits + 2))) >>
(64 - float_info<double>::significand_bits - 1 - beta_minus_1);
}
static carrier_uint compute_right_endpoint_for_shorter_interval_case(
const cache_entry_type& cache, int beta_minus_1) FMT_NOEXCEPT {
return (cache.high() +
(cache.high() >> (float_info<double>::significand_bits + 1))) >>
(64 - float_info<double>::significand_bits - 1 - beta_minus_1);
}
static carrier_uint compute_round_up_for_shorter_interval_case(
const cache_entry_type& cache, int beta_minus_1) FMT_NOEXCEPT {
return ((cache.high() >>
(64 - float_info<double>::significand_bits - 2 - beta_minus_1)) +
1) /
2;
}
};
// Various integer checks
template <class T>
bool is_left_endpoint_integer_shorter_interval(int exponent) FMT_NOEXCEPT {
return exponent >=
float_info<
T>::case_shorter_interval_left_endpoint_lower_threshold &&
exponent <=
float_info<T>::case_shorter_interval_left_endpoint_upper_threshold;
}
template <class T>
bool is_endpoint_integer(typename float_info<T>::carrier_uint two_f,
int exponent, int minus_k) FMT_NOEXCEPT {
if (exponent < float_info<T>::case_fc_pm_half_lower_threshold) return false;
// For k >= 0.
if (exponent <= float_info<T>::case_fc_pm_half_upper_threshold) return true;
// For k < 0.
if (exponent > float_info<T>::divisibility_check_by_5_threshold) return false;
return divisible_by_power_of_5(two_f, minus_k);
}
template <class T>
bool is_center_integer(typename float_info<T>::carrier_uint two_f, int exponent,
int minus_k) FMT_NOEXCEPT {
// Exponent for 5 is negative.
if (exponent > float_info<T>::divisibility_check_by_5_threshold) return false;
if (exponent > float_info<T>::case_fc_upper_threshold)
return divisible_by_power_of_5(two_f, minus_k);
// Both exponents are nonnegative.
if (exponent >= float_info<T>::case_fc_lower_threshold) return true;
// Exponent for 2 is negative.
return divisible_by_power_of_2(two_f, minus_k - exponent + 1);
}
// Remove trailing zeros from n and return the number of zeros removed (float)
FMT_ALWAYS_INLINE int remove_trailing_zeros(uint32_t& n) FMT_NOEXCEPT {
#ifdef FMT_BUILTIN_CTZ
int t = FMT_BUILTIN_CTZ(n);
#else
int t = ctz(n);
#endif
if (t > float_info<float>::max_trailing_zeros)
t = float_info<float>::max_trailing_zeros;
const uint32_t mod_inv1 = 0xcccccccd;
const uint32_t max_quotient1 = 0x33333333;
const uint32_t mod_inv2 = 0xc28f5c29;
const uint32_t max_quotient2 = 0x0a3d70a3;
int s = 0;
for (; s < t - 1; s += 2) {
if (n * mod_inv2 > max_quotient2) break;
n *= mod_inv2;
}
if (s < t && n * mod_inv1 <= max_quotient1) {
n *= mod_inv1;
++s;
}
n >>= s;
return s;
}
// Removes trailing zeros and returns the number of zeros removed (double)
FMT_ALWAYS_INLINE int remove_trailing_zeros(uint64_t& n) FMT_NOEXCEPT {
#ifdef FMT_BUILTIN_CTZLL
int t = FMT_BUILTIN_CTZLL(n);
#else
int t = ctzll(n);
#endif
if (t > float_info<double>::max_trailing_zeros)
t = float_info<double>::max_trailing_zeros;
// Divide by 10^8 and reduce to 32-bits
// Since ret_value.significand <= (2^64 - 1) / 1000 < 10^17,
// both of the quotient and the r should fit in 32-bits
const uint32_t mod_inv1 = 0xcccccccd;
const uint32_t max_quotient1 = 0x33333333;
const uint64_t mod_inv8 = 0xc767074b22e90e21;
const uint64_t max_quotient8 = 0x00002af31dc46118;
// If the number is divisible by 1'0000'0000, work with the quotient
if (t >= 8) {
auto quotient_candidate = n * mod_inv8;
if (quotient_candidate <= max_quotient8) {
auto quotient = static_cast<uint32_t>(quotient_candidate >> 8);
int s = 8;
for (; s < t; ++s) {
if (quotient * mod_inv1 > max_quotient1) break;
quotient *= mod_inv1;
}
quotient >>= (s - 8);
n = quotient;
return s;
}
}
// Otherwise, work with the remainder
auto quotient = static_cast<uint32_t>(n / 100000000);
auto remainder = static_cast<uint32_t>(n - 100000000 * quotient);
if (t == 0 || remainder * mod_inv1 > max_quotient1) {
return 0;
}
remainder *= mod_inv1;
if (t == 1 || remainder * mod_inv1 > max_quotient1) {
n = (remainder >> 1) + quotient * 10000000ull;
return 1;
}
remainder *= mod_inv1;
if (t == 2 || remainder * mod_inv1 > max_quotient1) {
n = (remainder >> 2) + quotient * 1000000ull;
return 2;
}
remainder *= mod_inv1;
if (t == 3 || remainder * mod_inv1 > max_quotient1) {
n = (remainder >> 3) + quotient * 100000ull;
return 3;
}
remainder *= mod_inv1;
if (t == 4 || remainder * mod_inv1 > max_quotient1) {
n = (remainder >> 4) + quotient * 10000ull;
return 4;
}
remainder *= mod_inv1;
if (t == 5 || remainder * mod_inv1 > max_quotient1) {
n = (remainder >> 5) + quotient * 1000ull;
return 5;
}
remainder *= mod_inv1;
if (t == 6 || remainder * mod_inv1 > max_quotient1) {
n = (remainder >> 6) + quotient * 100ull;
return 6;
}
remainder *= mod_inv1;
n = (remainder >> 7) + quotient * 10ull;
return 7;
}
// The main algorithm for shorter interval case
template <class T>
FMT_ALWAYS_INLINE FMT_SAFEBUFFERS decimal_fp<T> shorter_interval_case(
int exponent) FMT_NOEXCEPT {
decimal_fp<T> ret_value;
// Compute k and beta
const int minus_k = floor_log10_pow2_minus_log10_4_over_3(exponent);
const int beta_minus_1 = exponent + floor_log2_pow10(-minus_k);
// Compute xi and zi
using cache_entry_type = typename cache_accessor<T>::cache_entry_type;
const cache_entry_type cache = cache_accessor<T>::get_cached_power(-minus_k);
auto xi = cache_accessor<T>::compute_left_endpoint_for_shorter_interval_case(
cache, beta_minus_1);
auto zi = cache_accessor<T>::compute_right_endpoint_for_shorter_interval_case(
cache, beta_minus_1);
// If the left endpoint is not an integer, increase it
if (!is_left_endpoint_integer_shorter_interval<T>(exponent)) ++xi;
// Try bigger divisor
ret_value.significand = zi / 10;
// If succeed, remove trailing zeros if necessary and return
if (ret_value.significand * 10 >= xi) {
ret_value.exponent = minus_k + 1;
ret_value.exponent += remove_trailing_zeros(ret_value.significand);
return ret_value;
}
// Otherwise, compute the round-up of y
ret_value.significand =
cache_accessor<T>::compute_round_up_for_shorter_interval_case(
cache, beta_minus_1);
ret_value.exponent = minus_k;
// When tie occurs, choose one of them according to the rule
if (exponent >= float_info<T>::shorter_interval_tie_lower_threshold &&
exponent <= float_info<T>::shorter_interval_tie_upper_threshold) {
ret_value.significand = ret_value.significand % 2 == 0
? ret_value.significand
: ret_value.significand - 1;
} else if (ret_value.significand < xi) {
++ret_value.significand;
}
return ret_value;
}
template <typename T>
FMT_SAFEBUFFERS decimal_fp<T> to_decimal(T x) FMT_NOEXCEPT {
// Step 1: integer promotion & Schubfach multiplier calculation.
using carrier_uint = typename float_info<T>::carrier_uint;
using cache_entry_type = typename cache_accessor<T>::cache_entry_type;
auto br = bit_cast<carrier_uint>(x);
// Extract significand bits and exponent bits.
const carrier_uint significand_mask =
(static_cast<carrier_uint>(1) << float_info<T>::significand_bits) - 1;
carrier_uint significand = (br & significand_mask);
int exponent = static_cast<int>((br & exponent_mask<T>()) >>
float_info<T>::significand_bits);
if (exponent != 0) { // Check if normal.
exponent += float_info<T>::exponent_bias - float_info<T>::significand_bits;
// Shorter interval case; proceed like Schubfach.
if (significand == 0) return shorter_interval_case<T>(exponent);
significand |=
(static_cast<carrier_uint>(1) << float_info<T>::significand_bits);
} else {
// Subnormal case; the interval is always regular.
if (significand == 0) return {0, 0};
exponent = float_info<T>::min_exponent - float_info<T>::significand_bits;
}
const bool include_left_endpoint = (significand % 2 == 0);
const bool include_right_endpoint = include_left_endpoint;
// Compute k and beta.
const int minus_k = floor_log10_pow2(exponent) - float_info<T>::kappa;
const cache_entry_type cache = cache_accessor<T>::get_cached_power(-minus_k);
const int beta_minus_1 = exponent + floor_log2_pow10(-minus_k);
// Compute zi and deltai
// 10^kappa <= deltai < 10^(kappa + 1)
const uint32_t deltai = cache_accessor<T>::compute_delta(cache, beta_minus_1);
const carrier_uint two_fc = significand << 1;
const carrier_uint two_fr = two_fc | 1;
const carrier_uint zi =
cache_accessor<T>::compute_mul(two_fr << beta_minus_1, cache);
// Step 2: Try larger divisor; remove trailing zeros if necessary
// Using an upper bound on zi, we might be able to optimize the division
// better than the compiler; we are computing zi / big_divisor here
decimal_fp<T> ret_value;
ret_value.significand = divide_by_10_to_kappa_plus_1(zi);
uint32_t r = static_cast<uint32_t>(zi - float_info<T>::big_divisor *
ret_value.significand);
if (r > deltai) {
goto small_divisor_case_label;
} else if (r < deltai) {
// Exclude the right endpoint if necessary
if (r == 0 && !include_right_endpoint &&
is_endpoint_integer<T>(two_fr, exponent, minus_k)) {
--ret_value.significand;
r = float_info<T>::big_divisor;
goto small_divisor_case_label;
}
} else {
// r == deltai; compare fractional parts
// Check conditions in the order different from the paper
// to take advantage of short-circuiting
const carrier_uint two_fl = two_fc - 1;
if ((!include_left_endpoint ||
!is_endpoint_integer<T>(two_fl, exponent, minus_k)) &&
!cache_accessor<T>::compute_mul_parity(two_fl, cache, beta_minus_1)) {
goto small_divisor_case_label;
}
}
ret_value.exponent = minus_k + float_info<T>::kappa + 1;
// We may need to remove trailing zeros
ret_value.exponent += remove_trailing_zeros(ret_value.significand);
return ret_value;
// Step 3: Find the significand with the smaller divisor
small_divisor_case_label:
ret_value.significand *= 10;
ret_value.exponent = minus_k + float_info<T>::kappa;
const uint32_t mask = (1u << float_info<T>::kappa) - 1;
auto dist = r - (deltai / 2) + (float_info<T>::small_divisor / 2);
// Is dist divisible by 2^kappa?
if ((dist & mask) == 0) {
const bool approx_y_parity =
((dist ^ (float_info<T>::small_divisor / 2)) & 1) != 0;
dist >>= float_info<T>::kappa;
// Is dist divisible by 5^kappa?
if (check_divisibility_and_divide_by_pow5<float_info<T>::kappa>(dist)) {
ret_value.significand += dist;
// Check z^(f) >= epsilon^(f)
// We have either yi == zi - epsiloni or yi == (zi - epsiloni) - 1,
// where yi == zi - epsiloni if and only if z^(f) >= epsilon^(f)
// Since there are only 2 possibilities, we only need to care about the
// parity. Also, zi and r should have the same parity since the divisor
// is an even number
if (cache_accessor<T>::compute_mul_parity(two_fc, cache, beta_minus_1) !=
approx_y_parity) {
--ret_value.significand;
} else {
// If z^(f) >= epsilon^(f), we might have a tie
// when z^(f) == epsilon^(f), or equivalently, when y is an integer
if (is_center_integer<T>(two_fc, exponent, minus_k)) {
ret_value.significand = ret_value.significand % 2 == 0
? ret_value.significand
: ret_value.significand - 1;
}
}
}
// Is dist not divisible by 5^kappa?
else {
ret_value.significand += dist;
}
}
// Is dist not divisible by 2^kappa?
else {
// Since we know dist is small, we might be able to optimize the division
// better than the compiler; we are computing dist / small_divisor here
ret_value.significand +=
small_division_by_pow10<float_info<T>::kappa>(dist);
}
return ret_value;
}
} // namespace dragonbox
// Formats value using a variation of the Fixed-Precision Positive
// Floating-Point Printout ((FPP)^2) algorithm by Steele & White:
// https://fmt.dev/p372-steele.pdf.
template <typename Double>
void fallback_format(Double d, int num_digits, bool binary32, buffer<char>& buf,
int& exp10) {
bigint numerator; // 2 * R in (FPP)^2.
bigint denominator; // 2 * S in (FPP)^2.
// lower and upper are differences between value and corresponding boundaries.
bigint lower; // (M^- in (FPP)^2).
bigint upper_store; // upper's value if different from lower.
bigint* upper = nullptr; // (M^+ in (FPP)^2).
fp value;
// Shift numerator and denominator by an extra bit or two (if lower boundary
// is closer) to make lower and upper integers. This eliminates multiplication
// by 2 during later computations.
const bool is_predecessor_closer =
binary32 ? value.assign(static_cast<float>(d)) : value.assign(d);
int shift = is_predecessor_closer ? 2 : 1;
uint64_t significand = value.f << shift;
if (value.e >= 0) {
numerator.assign(significand);
numerator <<= value.e;
lower.assign(1);
lower <<= value.e;
if (shift != 1) {
upper_store.assign(1);
upper_store <<= value.e + 1;
upper = &upper_store;
}
denominator.assign_pow10(exp10);
denominator <<= shift;
} else if (exp10 < 0) {
numerator.assign_pow10(-exp10);
lower.assign(numerator);
if (shift != 1) {
upper_store.assign(numerator);
upper_store <<= 1;
upper = &upper_store;
}
numerator *= significand;
denominator.assign(1);
denominator <<= shift - value.e;
} else {
numerator.assign(significand);
denominator.assign_pow10(exp10);
denominator <<= shift - value.e;
lower.assign(1);
if (shift != 1) {
upper_store.assign(1ULL << 1);
upper = &upper_store;
}
}
// Invariant: value == (numerator / denominator) * pow(10, exp10).
if (num_digits < 0) {
// Generate the shortest representation.
if (!upper) upper = &lower;
bool even = (value.f & 1) == 0;
num_digits = 0;
char* data = buf.data();
for (;;) {
int digit = numerator.divmod_assign(denominator);
bool low = compare(numerator, lower) - even < 0; // numerator <[=] lower.
// numerator + upper >[=] pow10:
bool high = add_compare(numerator, *upper, denominator) + even > 0;
data[num_digits++] = static_cast<char>('0' + digit);
if (low || high) {
if (!low) {
++data[num_digits - 1];
} else if (high) {
int result = add_compare(numerator, numerator, denominator);
// Round half to even.
if (result > 0 || (result == 0 && (digit % 2) != 0))
++data[num_digits - 1];
}
buf.try_resize(to_unsigned(num_digits));
exp10 -= num_digits - 1;
return;
}
numerator *= 10;
lower *= 10;
if (upper != &lower) *upper *= 10;
}
}
// Generate the given number of digits.
exp10 -= num_digits - 1;
if (num_digits == 0) {
buf.try_resize(1);
denominator *= 10;
buf[0] = add_compare(numerator, numerator, denominator) > 0 ? '1' : '0';
return;
}
buf.try_resize(to_unsigned(num_digits));
for (int i = 0; i < num_digits - 1; ++i) {
int digit = numerator.divmod_assign(denominator);
buf[i] = static_cast<char>('0' + digit);
numerator *= 10;
}
int digit = numerator.divmod_assign(denominator);
auto result = add_compare(numerator, numerator, denominator);
if (result > 0 || (result == 0 && (digit % 2) != 0)) {
if (digit == 9) {
const auto overflow = '0' + 10;
buf[num_digits - 1] = overflow;
// Propagate the carry.
for (int i = num_digits - 1; i > 0 && buf[i] == overflow; --i) {
buf[i] = '0';
++buf[i - 1];
}
if (buf[0] == overflow) {
buf[0] = '1';
++exp10;
}
return;
}
++digit;
}
buf[num_digits - 1] = static_cast<char>('0' + digit);
}
template <typename T>
int format_float(T value, int precision, float_specs specs, buffer<char>& buf) {
static_assert(!std::is_same<T, float>::value, "");
FMT_ASSERT(value >= 0, "value is negative");
const bool fixed = specs.format == float_format::fixed;
if (value <= 0) { // <= instead of == to silence a warning.
if (precision <= 0 || !fixed) {
buf.push_back('0');
return 0;
}
buf.try_resize(to_unsigned(precision));
std::uninitialized_fill_n(buf.data(), precision, '0');
return -precision;
}
if (!specs.use_grisu) return snprintf_float(value, precision, specs, buf);
if (precision < 0) {
// Use Dragonbox for the shortest format.
if (specs.binary32) {
auto dec = dragonbox::to_decimal(static_cast<float>(value));
write<char>(buffer_appender<char>(buf), dec.significand);
return dec.exponent;
}
auto dec = dragonbox::to_decimal(static_cast<double>(value));
write<char>(buffer_appender<char>(buf), dec.significand);
return dec.exponent;
}
// Use Grisu + Dragon4 for the given precision:
// https://www.cs.tufts.edu/~nr/cs257/archive/florian-loitsch/printf.pdf.
int exp = 0;
const int min_exp = -60; // alpha in Grisu.
int cached_exp10 = 0; // K in Grisu.
fp normalized = normalize(fp(value));
const auto cached_pow = get_cached_power(
min_exp - (normalized.e + fp::significand_size), cached_exp10);
normalized = normalized * cached_pow;
// Limit precision to the maximum possible number of significant digits in an
// IEEE754 double because we don't need to generate zeros.
const int max_double_digits = 767;
if (precision > max_double_digits) precision = max_double_digits;
fixed_handler handler{buf.data(), 0, precision, -cached_exp10, fixed};
if (grisu_gen_digits(normalized, 1, exp, handler) == digits::error) {
exp += handler.size - cached_exp10 - 1;
fallback_format(value, handler.precision, specs.binary32, buf, exp);
} else {
exp += handler.exp10;
buf.try_resize(to_unsigned(handler.size));
}
if (!fixed && !specs.showpoint) {
// Remove trailing zeros.
auto num_digits = buf.size();
while (num_digits > 0 && buf[num_digits - 1] == '0') {
--num_digits;
++exp;
}
buf.try_resize(num_digits);
}
return exp;
} // namespace detail
template <typename T>
int snprintf_float(T value, int precision, float_specs specs,
buffer<char>& buf) {
// Buffer capacity must be non-zero, otherwise MSVC's vsnprintf_s will fail.
FMT_ASSERT(buf.capacity() > buf.size(), "empty buffer");
static_assert(!std::is_same<T, float>::value, "");
// Subtract 1 to account for the difference in precision since we use %e for
// both general and exponent format.
if (specs.format == float_format::general ||
specs.format == float_format::exp)
precision = (precision >= 0 ? precision : 6) - 1;
// Build the format string.
enum { max_format_size = 7 }; // The longest format is "%#.*Le".
char format[max_format_size];
char* format_ptr = format;