blame: source/misc/embedded_libs/fmt-11.0.2/include/fmt/format-inl.h

// 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_

#ifndef FMT_MODULE

#  include <algorithm>

#  include <cerrno>  // errno

#  include <climits>

#  include <cmath>

#  include <exception>

#  if !defined(FMT_STATIC_THOUSANDS_SEPARATOR)

#    include <locale>

#  endif

#endif

#if defined(_WIN32) && !defined(FMT_USE_WRITE_CONSOLE)

#  include <io.h>  // _isatty

#endif

#include "format.h"

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();

}

FMT_FUNC void format_error_code(detail::buffer<char>& out, int error_code,

                                string_view message) 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 = appender(out);

  if (message.size() <= inline_buffer_size - error_code_size)

    fmt::format_to(it, FMT_STRING("{}{}"), message, SEP);

  fmt::format_to(it, FMT_STRING("{}{}"), ERROR_STR, error_code);

  FMT_ASSERT(out.size() <= inline_buffer_size, "");

}

FMT_FUNC void report_error(format_func func, int error_code,

                           const char* message) noexcept {

  memory_buffer full_message;

  func(full_message, error_code, message);

  // Don't use fwrite_fully because the latter may throw.

  if (std::fwrite(full_message.data(), full_message.size(), 1, stderr) > 0)

    std::fputc('\n', stderr);

}

// A wrapper around fwrite that throws on error.

inline void fwrite_fully(const void* ptr, size_t count, FILE* stream) {

  size_t written = std::fwrite(ptr, 1, count, stream);

  if (written < count)

    FMT_THROW(system_error(errno, FMT_STRING("cannot write to file")));

}

#ifndef FMT_STATIC_THOUSANDS_SEPARATOR

template <typename Locale>

locale_ref::locale_ref(const Locale& loc) : locale_(&loc) {

  static_assert(std::is_same<Locale, std::locale>::value, "");

}

template <typename Locale> auto locale_ref::get() const -> Locale {

  static_assert(std::is_same<Locale, std::locale>::value, "");

  return locale_ ? *static_cast<const std::locale*>(locale_) : std::locale();

}

template <typename Char>

FMT_FUNC auto thousands_sep_impl(locale_ref loc) -> thousands_sep_result<Char> {

  auto& facet = std::use_facet<std::numpunct<Char>>(loc.get<std::locale>());

  auto grouping = facet.grouping();

  auto thousands_sep = grouping.empty() ? Char() : facet.thousands_sep();

  return {std::move(grouping), thousands_sep};

}

template <typename Char>

FMT_FUNC auto decimal_point_impl(locale_ref loc) -> Char {

  return std::use_facet<std::numpunct<Char>>(loc.get<std::locale>())

      .decimal_point();

}

#else

template <typename Char>

FMT_FUNC auto thousands_sep_impl(locale_ref) -> thousands_sep_result<Char> {

  return {"\03", FMT_STATIC_THOUSANDS_SEPARATOR};

}

template <typename Char> FMT_FUNC Char decimal_point_impl(locale_ref) {

  return '.';

}

#endif

FMT_FUNC auto write_loc(appender out, loc_value value,

                        const format_specs& specs, locale_ref loc) -> bool {

#ifdef FMT_STATIC_THOUSANDS_SEPARATOR

  value.visit(loc_writer<>{

      out, specs, std::string(1, FMT_STATIC_THOUSANDS_SEPARATOR), "\3", "."});

  return true;

#else

  auto locale = loc.get<std::locale>();

  // We cannot use the num_put<char> facet because it may produce output in

  // a wrong encoding.

  using facet = format_facet<std::locale>;

  if (std::has_facet<facet>(locale))

    return std::use_facet<facet>(locale).put(out, value, specs);

  return facet(locale).put(out, value, specs);

#endif

}

}  // namespace detail

FMT_FUNC void report_error(const char* message) {

  FMT_THROW(format_error(message));

}

template <typename Locale> typename Locale::id format_facet<Locale>::id;

#ifndef FMT_STATIC_THOUSANDS_SEPARATOR

template <typename Locale> format_facet<Locale>::format_facet(Locale& loc) {

  auto& numpunct = std::use_facet<std::numpunct<char>>(loc);

  grouping_ = numpunct.grouping();

  if (!grouping_.empty()) separator_ = std::string(1, numpunct.thousands_sep());

}

template <>

FMT_API FMT_FUNC auto format_facet<std::locale>::do_put(

    appender out, loc_value val, const format_specs& specs) const -> bool {

  return val.visit(

      detail::loc_writer<>{out, specs, separator_, grouping_, decimal_point_});

}

#endif

FMT_FUNC auto vsystem_error(int error_code, string_view fmt, format_args args)

    -> std::system_error {

  auto ec = std::error_code(error_code, std::generic_category());

  return std::system_error(ec, vformat(fmt, args));

}

namespace detail {

template <typename F>

inline auto operator==(basic_fp<F> x, basic_fp<F> y) -> bool {

  return x.f == y.f && x.e == y.e;

}

// Compilers should be able to optimize this into the ror instruction.

FMT_CONSTEXPR inline auto rotr(uint32_t n, uint32_t r) noexcept -> uint32_t {

  r &= 31;

  return (n >> r) | (n << (32 - r));

}

FMT_CONSTEXPR inline auto rotr(uint64_t n, uint32_t r) noexcept -> uint64_t {

  r &= 63;

  return (n >> r) | (n << (64 - r));

}

// Implementation of Dragonbox algorithm: https://github.com/jk-jeon/dragonbox.

namespace dragonbox {

// Computes upper 64 bits of multiplication of a 32-bit unsigned integer and a

// 64-bit unsigned integer.

inline auto umul96_upper64(uint32_t x, uint64_t y) noexcept -> uint64_t {

  return umul128_upper64(static_cast<uint64_t>(x) << 32, y);

}

// Computes lower 128 bits of multiplication of a 64-bit unsigned integer and a

// 128-bit unsigned integer.

inline auto umul192_lower128(uint64_t x, uint128_fallback y) noexcept

    -> uint128_fallback {

  uint64_t high = x * y.high();

  uint128_fallback high_low = umul128(x, y.low());

  return {high + high_low.high(), high_low.low()};

}

// Computes lower 64 bits of multiplication of a 32-bit unsigned integer and a

// 64-bit unsigned integer.

inline auto umul96_lower64(uint32_t x, uint64_t y) noexcept -> uint64_t {

  return x * y;

}

// Various fast log computations.

inline auto floor_log10_pow2_minus_log10_4_over_3(int e) noexcept -> int {

  FMT_ASSERT(e <= 2936 && e >= -2985, "too large exponent");

  return (e * 631305 - 261663) >> 21;

}

FMT_INLINE_VARIABLE constexpr struct {

  uint32_t divisor;

  int shift_amount;

} div_small_pow10_infos[] = {{10, 16}, {100, 16}};

// Replaces n by floor(n / pow(10, N)) returning true if and only if n is

// divisible by pow(10, N).

// Precondition: n <= pow(10, N + 1).

template <int N>

auto check_divisibility_and_divide_by_pow10(uint32_t& n) noexcept -> bool {

  // The numbers below are chosen such that:

  //   1. floor(n/d) = floor(nm / 2^k) where d=10 or d=100,

  //   2. nm mod 2^k < m if and only if n is divisible by d,

  // where m is magic_number, k is shift_amount

  // and d is divisor.

  //

  // Item 1 is a common technique of replacing division by a constant with

  // multiplication, see e.g. "Division by Invariant Integers Using

  // Multiplication" by Granlund and Montgomery (1994). magic_number (m) is set

  // to ceil(2^k/d) for large enough k.

  // The idea for item 2 originates from Schubfach.

  constexpr auto info = div_small_pow10_infos[N - 1];

  FMT_ASSERT(n <= info.divisor * 10, "n is too large");

  constexpr uint32_t magic_number =

      (1u << info.shift_amount) / info.divisor + 1;

  n *= magic_number;

  const uint32_t comparison_mask = (1u << info.shift_amount) - 1;

  bool result = (n & comparison_mask) < magic_number;

  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> auto small_division_by_pow10(uint32_t n) noexcept -> uint32_t {

  constexpr auto info = div_small_pow10_infos[N - 1];

  FMT_ASSERT(n <= info.divisor * 10, "n is too large");

  constexpr uint32_t magic_number =

      (1u << info.shift_amount) / info.divisor + 1;

  return (n * magic_number) >> info.shift_amount;

}

// Computes floor(n / 10^(kappa + 1)) (float)

inline auto divide_by_10_to_kappa_plus_1(uint32_t n) noexcept -> uint32_t {

  // 1374389535 = ceil(2^37/100)

  return static_cast<uint32_t>((static_cast<uint64_t>(n) * 1374389535) >> 37);

}

// Computes floor(n / 10^(kappa + 1)) (double)

inline auto divide_by_10_to_kappa_plus_1(uint64_t n) noexcept -> uint64_t {

  // 2361183241434822607 = ceil(2^(64+7)/1000)

  return umul128_upper64(n, 2361183241434822607ull) >> 7;

}

// Various subroutines using pow10 cache

template <typename T> struct cache_accessor;

template <> struct cache_accessor<float> {

  using carrier_uint = float_info<float>::carrier_uint;

  using cache_entry_type = uint64_t;

  static auto get_cached_power(int k) noexcept -> uint64_t {

    FMT_ASSERT(k >= float_info<float>::min_k && k <= float_info<float>::max_k,

               "k is out of range");

    static constexpr const uint64_t pow10_significands[] = {

        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, 0x813f3978f8940985,

        0xa18f07d736b90be6, 0xc9f2c9cd04674edf, 0xfc6f7c4045812297,

        0x9dc5ada82b70b59e, 0xc5371912364ce306, 0xf684df56c3e01bc7,

        0x9a130b963a6c115d, 0xc097ce7bc90715b4, 0xf0bdc21abb48db21,

        0x96769950b50d88f5, 0xbc143fa4e250eb32, 0xeb194f8e1ae525fe,

        0x92efd1b8d0cf37bf, 0xb7abc627050305ae, 0xe596b7b0c643c71a,

        0x8f7e32ce7bea5c70, 0xb35dbf821ae4f38c, 0xe0352f62a19e306f};

    return pow10_significands[k - float_info<float>::min_k];

  }

  struct compute_mul_result {

    carrier_uint result;

    bool is_integer;

  };

  struct compute_mul_parity_result {

    bool parity;

    bool is_integer;

  };

  static auto compute_mul(carrier_uint u,

                          const cache_entry_type& cache) noexcept

      -> compute_mul_result {

    auto r = umul96_upper64(u, cache);

    return {static_cast<carrier_uint>(r >> 32),

            static_cast<carrier_uint>(r) == 0};

  }

  static auto compute_delta(const cache_entry_type& cache, int beta) noexcept

      -> uint32_t {

    return static_cast<uint32_t>(cache >> (64 - 1 - beta));

  }

  static auto compute_mul_parity(carrier_uint two_f,

                                 const cache_entry_type& cache,

                                 int beta) noexcept

      -> compute_mul_parity_result {

    FMT_ASSERT(beta >= 1, "");

    FMT_ASSERT(beta < 64, "");

    auto r = umul96_lower64(two_f, cache);

    return {((r >> (64 - beta)) & 1) != 0,

            static_cast<uint32_t>(r >> (32 - beta)) == 0};

  }

  static auto compute_left_endpoint_for_shorter_interval_case(

      const cache_entry_type& cache, int beta) noexcept -> carrier_uint {

    return static_cast<carrier_uint>(

        (cache - (cache >> (num_significand_bits<float>() + 2))) >>

        (64 - num_significand_bits<float>() - 1 - beta));

  }

  static auto compute_right_endpoint_for_shorter_interval_case(

      const cache_entry_type& cache, int beta) noexcept -> carrier_uint {

    return static_cast<carrier_uint>(

        (cache + (cache >> (num_significand_bits<float>() + 1))) >>

        (64 - num_significand_bits<float>() - 1 - beta));

  }

  static auto compute_round_up_for_shorter_interval_case(

      const cache_entry_type& cache, int beta) noexcept -> carrier_uint {

    return (static_cast<carrier_uint>(

                cache >> (64 - num_significand_bits<float>() - 2 - beta)) +

            1) /

           2;

  }

};

template <> struct cache_accessor<double> {

  using carrier_uint = float_info<double>::carrier_uint;

  using cache_entry_type = uint128_fallback;

  static auto get_cached_power(int k) noexcept -> uint128_fallback {

    FMT_ASSERT(k >= float_info<double>::min_k && k <= float_info<double>::max_k,

               "k is out of range");

    static constexpr const uint128_fallback pow10_significands[] = {

#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},

      {0xea9c227723ee8bcb, 0x465e15a979c1cadd},

      {0x92a1958a7675175f, 0x0bfacd89ec191eca},

      {0xb749faed14125d36, 0xcef980ec671f667c},

      {0xe51c79a85916f484, 0x82b7e12780e7401b},

      {0x8f31cc0937ae58d2, 0xd1b2ecb8b0908811},

      {0xb2fe3f0b8599ef07, 0x861fa7e6dcb4aa16},

      {0xdfbdcece67006ac9, 0x67a791e093e1d49b},

      {0x8bd6a141006042bd, 0xe0c8bb2c5c6d24e1},

      {0xaecc49914078536d, 0x58fae9f773886e19},

      {0xda7f5bf590966848, 0xaf39a475506a899f},

      {0x888f99797a5e012d, 0x6d8406c952429604},

      {0xaab37fd7d8f58178, 0xc8e5087ba6d33b84},

      {0xd5605fcdcf32e1d6, 0xfb1e4a9a90880a65},

      {0x855c3be0a17fcd26, 0x5cf2eea09a550680},

      {0xa6b34ad8c9dfc06f, 0xf42faa48c0ea481f},

      {0xd0601d8efc57b08b, 0xf13b94daf124da27},

      {0x823c12795db6ce57, 0x76c53d08d6b70859},

      {0xa2cb1717b52481ed, 0x54768c4b0c64ca6f},

      {0xcb7ddcdda26da268, 0xa9942f5dcf7dfd0a},

      {0xfe5d54150b090b02, 0xd3f93b35435d7c4d},

      {0x9efa548d26e5a6e1, 0xc47bc5014a1a6db0},

      {0xc6b8e9b0709f109a, 0x359ab6419ca1091c},

      {0xf867241c8cc6d4c0, 0xc30163d203c94b63},

      {0x9b407691d7fc44f8, 0x79e0de63425dcf1e},

      {0xc21094364dfb5636, 0x985915fc12f542e5},

      {0xf294b943e17a2bc4, 0x3e6f5b7b17b2939e},

      {0x979cf3ca6cec5b5a, 0xa705992ceecf9c43},

      {0xbd8430bd08277231, 0x50c6ff782a838354},

      {0xece53cec4a314ebd, 0xa4f8bf5635246429},

      {0x940f4613ae5ed136, 0x871b7795e136be9a},

      {0xb913179899f68584, 0x28e2557b59846e40},

      {0xe757dd7ec07426e5, 0x331aeada2fe589d0},

      {0x9096ea6f3848984f, 0x3ff0d2c85def7622},

      {0xb4bca50b065abe63, 0x0fed077a756b53aa},

      {0xe1ebce4dc7f16dfb, 0xd3e8495912c62895},

      {0x8d3360f09cf6e4bd, 0x64712dd7abbbd95d},

      {0xb080392cc4349dec, 0xbd8d794d96aacfb4},

      {0xdca04777f541c567, 0xecf0d7a0fc5583a1},

      {0x89e42caaf9491b60, 0xf41686c49db57245},

      {0xac5d37d5b79b6239, 0x311c2875c522ced6},

      {0xd77485cb25823ac7, 0x7d633293366b828c},

      {0x86a8d39ef77164bc, 0xae5dff9c02033198},

      {0xa8530886b54dbdeb, 0xd9f57f830283fdfd},

      {0xd267caa862a12d66, 0xd072df63c324fd7c},

      {0x8380dea93da4bc60, 0x4247cb9e59f71e6e},

      {0xa46116538d0deb78, 0x52d9be85f074e609},

      {0xcd795be870516656, 0x67902e276c921f8c},

      {0x806bd9714632dff6, 0x00ba1cd8a3db53b7},

      {0xa086cfcd97bf97f3, 0x80e8a40eccd228a5},

      {0xc8a883c0fdaf7df0, 0x6122cd128006b2ce},

      {0xfad2a4b13d1b5d6c, 0x796b805720085f82},

      {0x9cc3a6eec6311a63, 0xcbe3303674053bb1},

      {0xc3f490aa77bd60fc, 0xbedbfc4411068a9d},

      {0xf4f1b4d515acb93b, 0xee92fb5515482d45},

      {0x991711052d8bf3c5, 0x751bdd152d4d1c4b},

      {0xbf5cd54678eef0b6, 0xd262d45a78a0635e},

      {0xef340a98172aace4, 0x86fb897116c87c35},

      {0x9580869f0e7aac0e, 0xd45d35e6ae3d4da1},

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