fast_float.h

// Vendored from fast_float v8.2.10, generated by tools/vendor_fast_float.sh.
// Do not edit by hand; re-run the script to update.
//
//   https://github.com/fastfloat/fast_float
//   Licensed under Apache-2.0 OR MIT OR BSL-1.0, at your option.
//
// simdjson uses this for two things that its own number parser cannot do:
//   * the slow path for numbers with more than 19 significant digits, where
//     fast_float's bigint comparison is several times quicker than the
//     Wuffs-derived decimal shifting it replaced (see src/from_chars.cpp), and
//   * correctly rounded parsing inside a constant expression, which the runtime
//     path cannot offer because it relies on memcpy and __uint128_t (see
//     compile_time_json-inl.h).
//
// Two edits are applied by the script. Every fast_float name is rewritten so
// that this copy cannot collide with a copy of fast_float that the surrounding
// program includes for itself: namespace fast_float -> simdjson_fast_float,
// FASTFLOAT_* -> SIMDJSON_FASTFLOAT_*, fastfloat_* -> simdjson_fastfloat_*. And
// the accented letters in the attribution comments below are folded to ASCII,
// to keep the tree ASCII-only; no disrespect to the people named is intended.
// simdjson_fast_float by Daniel Lemire
// simdjson_fast_float by Joao Paulo Magalhaes
//
//
// with contributions from Eugene Golushkov
// with contributions from Maksim Kita
// with contributions from Marcin Wojdyr
// with contributions from Neal Richardson
// with contributions from Tim Paine
// with contributions from Fabio Pellacini
// with contributions from Lenard Szolnoki
// with contributions from Jan Pharago
// with contributions from Maya Warrier
// with contributions from Taha Khokhar
// with contributions from Anders Dalvander
//
//
// Licensed under the Apache License, Version 2.0, or the
// MIT License or the Boost License. This file may not be copied,
// modified, or distributed except according to those terms.
//
// MIT License Notice
//
//    MIT License
//
//    Copyright (c) 2021 The simdjson_fast_float authors
//
//    Permission is hereby granted, free of charge, to any
//    person obtaining a copy of this software and associated
//    documentation files (the "Software"), to deal in the
//    Software without restriction, including without
//    limitation the rights to use, copy, modify, merge,
//    publish, distribute, sublicense, and/or sell copies of
//    the Software, and to permit persons to whom the Software
//    is furnished to do so, subject to the following
//    conditions:
//
//    The above copyright notice and this permission notice
//    shall be included in all copies or substantial portions
//    of the Software.
//
//    THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF
//    ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED
//    TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A
//    PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT
//    SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY
//    CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
//    OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR
//    IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
//    DEALINGS IN THE SOFTWARE.
//
// Apache License (Version 2.0) Notice
//
//    Copyright 2021 The simdjson_fast_float authors
//    Licensed under the Apache License, Version 2.0 (the "License");
//    you may not use this file except in compliance with the License.
//    You may obtain a copy of the License at
//
//    http://www.apache.org/licenses/LICENSE-2.0
//
//    Unless required by applicable law or agreed to in writing, software
//    distributed under the License is distributed on an "AS IS" BASIS,
//    WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
//    See the License for the specific language governing permissions and
//
// BOOST License Notice
//
//    Boost Software License - Version 1.0 - August 17th, 2003
//
//    Permission is hereby granted, free of charge, to any person or organization
//    obtaining a copy of the software and accompanying documentation covered by
//    this license (the "Software") to use, reproduce, display, distribute,
//    execute, and transmit the Software, and to prepare derivative works of the
//    Software, and to permit third-parties to whom the Software is furnished to
//    do so, all subject to the following:
//
//    The copyright notices in the Software and this entire statement, including
//    the above license grant, this restriction and the following disclaimer,
//    must be included in all copies of the Software, in whole or in part, and
//    all derivative works of the Software, unless such copies or derivative
//    works are solely in the form of machine-executable object code generated by
//    a source language processor.
//
//    THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
//    IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
//    FITNESS FOR A PARTICULAR PURPOSE, TITLE AND NON-INFRINGEMENT. IN NO EVENT
//    SHALL THE COPYRIGHT HOLDERS OR ANYONE DISTRIBUTING THE SOFTWARE BE LIABLE
//    FOR ANY DAMAGES OR OTHER LIABILITY, WHETHER IN CONTRACT, TORT OR OTHERWISE,
//    ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
//    DEALINGS IN THE SOFTWARE.
//
 
#ifndef SIMDJSON_FASTFLOAT_CONSTEXPR_FEATURE_DETECT_H
#define SIMDJSON_FASTFLOAT_CONSTEXPR_FEATURE_DETECT_H
 
#ifdef __has_include
#if __has_include(<version>)
#include <version>
#endif
#endif
 
// Testing for https://wg21.link/N3652, adopted in C++14
#if defined(__cpp_constexpr) && __cpp_constexpr >= 201304
#define SIMDJSON_FASTFLOAT_CONSTEXPR14 constexpr
#else
#define SIMDJSON_FASTFLOAT_CONSTEXPR14
#endif
 
#if defined(__cpp_lib_bit_cast) && __cpp_lib_bit_cast >= 201806L
#define SIMDJSON_FASTFLOAT_HAS_BIT_CAST 1
#else
#define SIMDJSON_FASTFLOAT_HAS_BIT_CAST 0
#endif
 
#if defined(__cpp_lib_is_constant_evaluated) &&                                \
    __cpp_lib_is_constant_evaluated >= 201811L
#define SIMDJSON_FASTFLOAT_HAS_IS_CONSTANT_EVALUATED 1
#else
#define SIMDJSON_FASTFLOAT_HAS_IS_CONSTANT_EVALUATED 0
#endif
 
#if defined(__cpp_if_constexpr) && __cpp_if_constexpr >= 201606L
#define SIMDJSON_FASTFLOAT_IF_CONSTEXPR17(x) if constexpr (x)
#else
#define SIMDJSON_FASTFLOAT_IF_CONSTEXPR17(x) if (x)
#endif
 
// Testing for relevant C++20 constexpr library features
#if SIMDJSON_FASTFLOAT_HAS_IS_CONSTANT_EVALUATED && SIMDJSON_FASTFLOAT_HAS_BIT_CAST &&           \
    defined(__cpp_lib_constexpr_algorithms) &&                                 \
    __cpp_lib_constexpr_algorithms >= 201806L /*For std::copy and std::fill*/
#define SIMDJSON_FASTFLOAT_CONSTEXPR20 constexpr
#define SIMDJSON_FASTFLOAT_IS_CONSTEXPR 1
#else
#define SIMDJSON_FASTFLOAT_CONSTEXPR20
#define SIMDJSON_FASTFLOAT_IS_CONSTEXPR 0
#endif
 
#if __cplusplus >= 201703L || (defined(_MSVC_LANG) && _MSVC_LANG >= 201703L)
#define SIMDJSON_FASTFLOAT_DETAIL_MUST_DEFINE_CONSTEXPR_VARIABLE 0
#else
#define SIMDJSON_FASTFLOAT_DETAIL_MUST_DEFINE_CONSTEXPR_VARIABLE 1
#endif
 
#endif // SIMDJSON_FASTFLOAT_CONSTEXPR_FEATURE_DETECT_H
 
#ifndef SIMDJSON_FASTFLOAT_FLOAT_COMMON_H
#define SIMDJSON_FASTFLOAT_FLOAT_COMMON_H
 
#include <cfloat>
#include <cstddef>
#include <cstdint>
#include <cassert>
#include <cstring>
#include <limits>
#include <type_traits>
#include <system_error>
#ifdef __has_include
#if __has_include(<stdfloat>) && (__cplusplus > 202002L || (defined(_MSVC_LANG) && (_MSVC_LANG > 202002L)))
#include <stdfloat>
#endif
#endif
 
#define SIMDJSON_FASTFLOAT_VERSION_MAJOR 8
#define SIMDJSON_FASTFLOAT_VERSION_MINOR 2
#define SIMDJSON_FASTFLOAT_VERSION_PATCH 10
 
#define SIMDJSON_FASTFLOAT_STRINGIZE_IMPL(x) #x
#define SIMDJSON_FASTFLOAT_STRINGIZE(x) SIMDJSON_FASTFLOAT_STRINGIZE_IMPL(x)
 
#define SIMDJSON_FASTFLOAT_VERSION_STR                                                  \
  SIMDJSON_FASTFLOAT_STRINGIZE(SIMDJSON_FASTFLOAT_VERSION_MAJOR)                                 \
  "." SIMDJSON_FASTFLOAT_STRINGIZE(SIMDJSON_FASTFLOAT_VERSION_MINOR) "." SIMDJSON_FASTFLOAT_STRINGIZE(    \
      SIMDJSON_FASTFLOAT_VERSION_PATCH)
 
#define SIMDJSON_FASTFLOAT_VERSION                                                      \
  (SIMDJSON_FASTFLOAT_VERSION_MAJOR * 10000 + SIMDJSON_FASTFLOAT_VERSION_MINOR * 100 +           \
   SIMDJSON_FASTFLOAT_VERSION_PATCH)
 
namespace simdjson_fast_float {
 
enum class chars_format : uint64_t;
 
namespace detail {
constexpr chars_format basic_json_fmt = chars_format(1 << 5);
constexpr chars_format basic_fortran_fmt = chars_format(1 << 6);
} // namespace detail
 
enum class chars_format : uint64_t {
  scientific = 1 << 0,
  fixed = 1 << 2,
  hex = 1 << 3,
  no_infnan = 1 << 4,
  // RFC 8259: https://datatracker.ietf.org/doc/html/rfc8259#section-6
  json = uint64_t(detail::basic_json_fmt) | fixed | scientific | no_infnan,
  // Extension of RFC 8259 where, e.g., "inf" and "nan" are allowed.
  json_or_infnan = uint64_t(detail::basic_json_fmt) | fixed | scientific,
  fortran = uint64_t(detail::basic_fortran_fmt) | fixed | scientific,
  general = fixed | scientific,
  allow_leading_plus = 1 << 7,
  skip_white_space = 1 << 8,
};
 
template <typename UC> struct from_chars_result_t {
  UC const *ptr;
  std::errc ec;
 
  // https://www.open-std.org/jtc1/sc22/wg21/docs/papers/2023/p2497r0.html
  constexpr explicit operator bool() const noexcept {
    return ec == std::errc();
  }
};
 
using from_chars_result = from_chars_result_t<char>;
 
template <typename UC> struct parse_options_t {
  constexpr explicit parse_options_t(chars_format fmt = chars_format::general,
                                     UC dot = UC('.'), int b = 10)
      : format(fmt), decimal_point(dot), base(b) {}
 
  chars_format format;
  UC decimal_point;
  int base;
};
 
using parse_options = parse_options_t<char>;
 
} // namespace simdjson_fast_float
 
#if SIMDJSON_FASTFLOAT_HAS_BIT_CAST
#include <bit>
#endif
 
#if (defined(__x86_64) || defined(__x86_64__) || defined(_M_X64) ||            \
     defined(__amd64) || defined(__aarch64__) || defined(_M_ARM64) ||          \
     defined(__MINGW64__) || defined(__s390x__) ||                             \
     (defined(__ppc64__) || defined(__PPC64__) || defined(__ppc64le__) ||      \
      defined(__PPC64LE__)) ||                                                 \
     defined(__loongarch64) || (defined(__riscv) && __riscv_xlen == 64))
#define SIMDJSON_FASTFLOAT_64BIT 1
#elif (defined(__i386) || defined(__i386__) || defined(_M_IX86) ||             \
       defined(__arm__) || defined(_M_ARM) || defined(__ppc__) ||              \
       defined(__MINGW32__) || defined(__EMSCRIPTEN__) ||                      \
       (defined(__riscv) && __riscv_xlen == 32))
#define SIMDJSON_FASTFLOAT_32BIT 1
#else
  // Need to check incrementally, since SIZE_MAX is a size_t, avoid overflow.
// We can never tell the register width, but the SIZE_MAX is a good
// approximation. UINTPTR_MAX and INTPTR_MAX are optional, so avoid them for max
// portability.
#if SIZE_MAX == 0xffff
#error Unknown platform (16-bit, unsupported)
#elif SIZE_MAX == 0xffffffff
#define SIMDJSON_FASTFLOAT_32BIT 1
#elif SIZE_MAX == 0xffffffffffffffff
#define SIMDJSON_FASTFLOAT_64BIT 1
#else
#error Unknown platform (not 32-bit, not 64-bit?)
#endif
#endif
 
#if ((defined(_WIN32) || defined(_WIN64)) && !defined(__clang__)) ||           \
    (defined(_M_ARM64) && !defined(__MINGW32__))
#include <intrin.h>
#endif
 
#if defined(_MSC_VER) && !defined(__clang__)
#define SIMDJSON_FASTFLOAT_VISUAL_STUDIO 1
#endif
 
#if defined __BYTE_ORDER__ && defined __ORDER_BIG_ENDIAN__
#define SIMDJSON_FASTFLOAT_IS_BIG_ENDIAN (__BYTE_ORDER__ == __ORDER_BIG_ENDIAN__)
#elif defined _WIN32
#define SIMDJSON_FASTFLOAT_IS_BIG_ENDIAN 0
#else
#if defined(__APPLE__) || defined(__FreeBSD__)
#include <machine/endian.h>
#elif defined(sun) || defined(__sun)
#include <sys/byteorder.h>
#elif defined(__MVS__)
#include <sys/endian.h>
#else
#ifdef __has_include
#if __has_include(<endian.h>)
#include <endian.h>
#endif //__has_include(<endian.h>)
#endif //__has_include
#endif
#
#ifndef __BYTE_ORDER__
// safe choice
#define SIMDJSON_FASTFLOAT_IS_BIG_ENDIAN 0
#endif
#
#ifndef __ORDER_LITTLE_ENDIAN__
// safe choice
#define SIMDJSON_FASTFLOAT_IS_BIG_ENDIAN 0
#endif
#
#if __BYTE_ORDER__ == __ORDER_LITTLE_ENDIAN__
#define SIMDJSON_FASTFLOAT_IS_BIG_ENDIAN 0
#else
#define SIMDJSON_FASTFLOAT_IS_BIG_ENDIAN 1
#endif
#endif
 
#if defined(__SSE2__) || (defined(SIMDJSON_FASTFLOAT_VISUAL_STUDIO) &&                  \
                          (defined(_M_AMD64) || defined(_M_X64) ||             \
                           (defined(_M_IX86_FP) && _M_IX86_FP == 2)))
#define SIMDJSON_FASTFLOAT_SSE2 1
#endif
 
#if defined(__aarch64__) || defined(_M_ARM64)
#define SIMDJSON_FASTFLOAT_NEON 1
#endif
 
#if defined(SIMDJSON_FASTFLOAT_SSE2) || defined(SIMDJSON_FASTFLOAT_NEON)
#define SIMDJSON_FASTFLOAT_HAS_SIMD 1
#endif
 
#if defined(__GNUC__)
// disable -Wcast-align=strict (GCC only)
#define SIMDJSON_FASTFLOAT_SIMD_DISABLE_WARNINGS                                        \
  _Pragma("GCC diagnostic push")                                               \
      _Pragma("GCC diagnostic ignored \"-Wcast-align\"")
#else
#define SIMDJSON_FASTFLOAT_SIMD_DISABLE_WARNINGS
#endif
 
#if defined(__GNUC__)
#define SIMDJSON_FASTFLOAT_SIMD_RESTORE_WARNINGS _Pragma("GCC diagnostic pop")
#else
#define SIMDJSON_FASTFLOAT_SIMD_RESTORE_WARNINGS
#endif
 
#ifdef SIMDJSON_FASTFLOAT_VISUAL_STUDIO
#define simdjson_fastfloat_really_inline __forceinline
#else
#define simdjson_fastfloat_really_inline inline __attribute__((always_inline))
#endif
 
// Branch-probability hint marking the rare slow-path branches as cold, so the
// optimizer keeps the out-of-line slow-path re-parse off the hot path (and does
// not duplicate the force-inlined hot scanner into the caller, which bloated
// the hot frame and hurt ILP on some targets). Used at the call site as
//   if simdjson_fastfloat_unlikely(cond) { ... }
// (the macro supplies the parentheses). It expands to the standard [[unlikely]]
// attribute when supported, otherwise to __builtin_expect on GCC/Clang, or
// to a no-op elsewhere (e.g. pre-C++20 MSVC, which has no equivalent hint).
#ifdef __has_cpp_attribute
#if __has_cpp_attribute(unlikely) >= 201803L
// g++-9 hits hits this branch, but then fails to compile
// [[unlikely]]. This happens only with g++-9.
#if !defined(__GNUC__) || (__GNUC__ != 9)
#define SIMDJSON_FASTFLOAT_USE_UNLIKELY_ATTR
#endif
#endif
#endif
 
#ifdef SIMDJSON_FASTFLOAT_USE_UNLIKELY_ATTR
#define simdjson_fastfloat_unlikely(x) (x) [[unlikely]]
#elif defined(__GNUC__) || defined(__clang__)
#define simdjson_fastfloat_unlikely(x) (__builtin_expect(!!(x), 0))
#else
#define simdjson_fastfloat_unlikely(x) (x)
#endif
 
#ifndef SIMDJSON_FASTFLOAT_ASSERT
#define SIMDJSON_FASTFLOAT_ASSERT(x)                                                    \
  {                                                                            \
    static_cast<void>(x);                                                      \
  }
#endif
 
#ifndef SIMDJSON_FASTFLOAT_DEBUG_ASSERT
#define SIMDJSON_FASTFLOAT_DEBUG_ASSERT(x)                                              \
  {                                                                            \
    static_cast<void>(x);                                                      \
  }
#endif
 
// rust style `try!()` macro, or `?` operator
#define SIMDJSON_FASTFLOAT_TRY(x)                                                       \
  {                                                                            \
    if (!(x))                                                                  \
      return false;                                                            \
  }
 
#define SIMDJSON_FASTFLOAT_ENABLE_IF(...)                                               \
  typename std::enable_if<(__VA_ARGS__), int>::type
 
namespace simdjson_fast_float {
 
simdjson_fastfloat_really_inline constexpr bool cpp20_and_in_constexpr() {
#if SIMDJSON_FASTFLOAT_HAS_IS_CONSTANT_EVALUATED
  return std::is_constant_evaluated();
#else
  return false;
#endif
}
 
template <typename T>
struct is_supported_float_type
    : std::integral_constant<
          bool, std::is_same<T, double>::value || std::is_same<T, float>::value
#ifdef __STDCPP_FLOAT64_T__
                    || std::is_same<T, std::float64_t>::value
#endif
#ifdef __STDCPP_FLOAT32_T__
                    || std::is_same<T, std::float32_t>::value
#endif
#ifdef __STDCPP_FLOAT16_T__
                    || std::is_same<T, std::float16_t>::value
#endif
#ifdef __STDCPP_BFLOAT16_T__
                    || std::is_same<T, std::bfloat16_t>::value
#endif
          > {
};
 
template <typename T>
using equiv_uint_t = typename std::conditional<
    sizeof(T) == 1, uint8_t,
    typename std::conditional<
        sizeof(T) == 2, uint16_t,
        typename std::conditional<sizeof(T) == 4, uint32_t,
                                  uint64_t>::type>::type>::type;
 
template <typename T> struct is_supported_integer_type : std::is_integral<T> {};
 
template <typename UC>
struct is_supported_char_type
    : std::integral_constant<bool, std::is_same<UC, char>::value ||
                                       std::is_same<UC, wchar_t>::value ||
                                       std::is_same<UC, char16_t>::value ||
                                       std::is_same<UC, char32_t>::value
#ifdef __cpp_char8_t
                                       || std::is_same<UC, char8_t>::value
#endif
                             > {
};
 
template <typename UC>
inline SIMDJSON_FASTFLOAT_CONSTEXPR14 bool
simdjson_fastfloat_strncasecmp3(UC const *actual_mixedcase,
                       UC const *expected_lowercase) {
  uint64_t mask{0};
  SIMDJSON_FASTFLOAT_IF_CONSTEXPR17(sizeof(UC) == 1) { mask = 0x2020202020202020; }
  else SIMDJSON_FASTFLOAT_IF_CONSTEXPR17(sizeof(UC) == 2) {
    mask = 0x0020002000200020;
  }
  else SIMDJSON_FASTFLOAT_IF_CONSTEXPR17(sizeof(UC) == 4) {
    mask = 0x0000002000000020;
  }
  else {
    return false;
  }
 
  uint64_t val1{0}, val2{0};
  if (cpp20_and_in_constexpr()) {
    for (size_t i = 0; i < 3; i++) {
      if ((actual_mixedcase[i] | 32) != expected_lowercase[i]) {
        return false;
      }
    }
    return true;
  } else {
    SIMDJSON_FASTFLOAT_IF_CONSTEXPR17(sizeof(UC) == 1 || sizeof(UC) == 2) {
      ::memcpy(&val1, actual_mixedcase, 3 * sizeof(UC));
      ::memcpy(&val2, expected_lowercase, 3 * sizeof(UC));
      val1 |= mask;
      val2 |= mask;
      return val1 == val2;
    }
    else SIMDJSON_FASTFLOAT_IF_CONSTEXPR17(sizeof(UC) == 4) {
      ::memcpy(&val1, actual_mixedcase, 2 * sizeof(UC));
      ::memcpy(&val2, expected_lowercase, 2 * sizeof(UC));
      val1 |= mask;
      if (val1 != val2) {
        return false;
      }
      return (actual_mixedcase[2] | 32) == (expected_lowercase[2]);
    }
    else {
      return false;
    }
  }
}
 
template <typename UC>
inline SIMDJSON_FASTFLOAT_CONSTEXPR14 bool
simdjson_fastfloat_strncasecmp5(UC const *actual_mixedcase,
                       UC const *expected_lowercase) {
  uint64_t mask{0};
  uint64_t val1{0}, val2{0};
  if (cpp20_and_in_constexpr()) {
    for (size_t i = 0; i < 5; i++) {
      if ((actual_mixedcase[i] | 32) != expected_lowercase[i]) {
        return false;
      }
    }
    return true;
  } else {
    SIMDJSON_FASTFLOAT_IF_CONSTEXPR17(sizeof(UC) == 1) {
      mask = 0x2020202020202020;
      ::memcpy(&val1, actual_mixedcase, 5 * sizeof(UC));
      ::memcpy(&val2, expected_lowercase, 5 * sizeof(UC));
      val1 |= mask;
      val2 |= mask;
      return val1 == val2;
    }
    else SIMDJSON_FASTFLOAT_IF_CONSTEXPR17(sizeof(UC) == 2) {
      mask = 0x0020002000200020;
      ::memcpy(&val1, actual_mixedcase, 4 * sizeof(UC));
      ::memcpy(&val2, expected_lowercase, 4 * sizeof(UC));
      val1 |= mask;
      if (val1 != val2) {
        return false;
      }
      return (actual_mixedcase[4] | 32) == (expected_lowercase[4]);
    }
    else SIMDJSON_FASTFLOAT_IF_CONSTEXPR17(sizeof(UC) == 4) {
      mask = 0x0000002000000020;
      ::memcpy(&val1, actual_mixedcase, 2 * sizeof(UC));
      ::memcpy(&val2, expected_lowercase, 2 * sizeof(UC));
      val1 |= mask;
      if (val1 != val2) {
        return false;
      }
      ::memcpy(&val1, actual_mixedcase + 2, 2 * sizeof(UC));
      ::memcpy(&val2, expected_lowercase + 2, 2 * sizeof(UC));
      val1 |= mask;
      if (val1 != val2) {
        return false;
      }
      return (actual_mixedcase[4] | 32) == (expected_lowercase[4]);
    }
    else {
      return false;
    }
  }
}
 
// Compares two ASCII strings in a case insensitive manner.
template <typename UC>
inline SIMDJSON_FASTFLOAT_CONSTEXPR14 bool
simdjson_fastfloat_strncasecmp(UC const *actual_mixedcase, UC const *expected_lowercase,
                      size_t length) {
  uint64_t mask{0};
  SIMDJSON_FASTFLOAT_IF_CONSTEXPR17(sizeof(UC) == 1) { mask = 0x2020202020202020; }
  else SIMDJSON_FASTFLOAT_IF_CONSTEXPR17(sizeof(UC) == 2) {
    mask = 0x0020002000200020;
  }
  else SIMDJSON_FASTFLOAT_IF_CONSTEXPR17(sizeof(UC) == 4) {
    mask = 0x0000002000000020;
  }
  else {
    return false;
  }
 
  if (cpp20_and_in_constexpr()) {
    for (size_t i = 0; i < length; i++) {
      if ((actual_mixedcase[i] | 32) != expected_lowercase[i]) {
        return false;
      }
    }
    return true;
  } else {
    uint64_t val1{0}, val2{0};
    size_t sz{8 / (sizeof(UC))};
    for (size_t i = 0; i < length; i += sz) {
      val1 = val2 = 0;
      sz = sz < (length - i) ? sz : length - i;
      ::memcpy(&val1, actual_mixedcase + i, sz * sizeof(UC));
      ::memcpy(&val2, expected_lowercase + i, sz * sizeof(UC));
      val1 |= mask;
      val2 |= mask;
      if (val1 != val2) {
        return false;
      }
    }
    return true;
  }
}
 
#ifndef FLT_EVAL_METHOD
#error "FLT_EVAL_METHOD should be defined, please include cfloat."
#endif
 
// a pointer and a length to a contiguous block of memory
template <typename T> struct span {
  T const *ptr;
  size_t length;
 
  constexpr span(T const *_ptr, size_t _length) : ptr(_ptr), length(_length) {}
 
  constexpr span() : ptr(nullptr), length(0) {}
 
  constexpr size_t len() const noexcept { return length; }
 
  SIMDJSON_FASTFLOAT_CONSTEXPR14 const T &operator[](size_t index) const noexcept {
    SIMDJSON_FASTFLOAT_DEBUG_ASSERT(index < length);
    return ptr[index];
  }
};
 
struct value128 {
  uint64_t low;
  uint64_t high;
 
  constexpr value128(uint64_t _low, uint64_t _high) : low(_low), high(_high) {}
 
  constexpr value128() : low(0), high(0) {}
};
 
/* Helper C++14 constexpr generic implementation of leading_zeroes */
simdjson_fastfloat_really_inline SIMDJSON_FASTFLOAT_CONSTEXPR14 int
leading_zeroes_generic(uint64_t input_num, int last_bit = 0) {
  if (input_num & uint64_t(0xffffffff00000000)) {
    input_num >>= 32;
    last_bit |= 32;
  }
  if (input_num & uint64_t(0xffff0000)) {
    input_num >>= 16;
    last_bit |= 16;
  }
  if (input_num & uint64_t(0xff00)) {
    input_num >>= 8;
    last_bit |= 8;
  }
  if (input_num & uint64_t(0xf0)) {
    input_num >>= 4;
    last_bit |= 4;
  }
  if (input_num & uint64_t(0xc)) {
    input_num >>= 2;
    last_bit |= 2;
  }
  if (input_num & uint64_t(0x2)) { /* input_num >>=  1; */
    last_bit |= 1;
  }
  return 63 - last_bit;
}
 
/* result might be undefined when input_num is zero */
simdjson_fastfloat_really_inline SIMDJSON_FASTFLOAT_CONSTEXPR20 int
leading_zeroes(uint64_t input_num) {
  assert(input_num > 0);
  if (cpp20_and_in_constexpr()) {
    return leading_zeroes_generic(input_num);
  }
#ifdef SIMDJSON_FASTFLOAT_VISUAL_STUDIO
#if defined(_M_X64) || defined(_M_ARM64)
  unsigned long leading_zero = 0;
  // Search the mask data from most significant bit (MSB)
  // to least significant bit (LSB) for a set bit (1).
  _BitScanReverse64(&leading_zero, input_num);
  return static_cast<int>(63 - leading_zero);
#else
  return leading_zeroes_generic(input_num);
#endif
#else
  return __builtin_clzll(input_num);
#endif
}
 
/* Helper C++14 constexpr generic implementation of countr_zero for 32-bit */
simdjson_fastfloat_really_inline SIMDJSON_FASTFLOAT_CONSTEXPR14 int
countr_zero_generic_32(uint32_t input_num) {
  if (input_num == 0) {
    return 32;
  }
  int last_bit = 0;
  if (!(input_num & 0x0000FFFF)) {
    input_num >>= 16;
    last_bit |= 16;
  }
  if (!(input_num & 0x00FF)) {
    input_num >>= 8;
    last_bit |= 8;
  }
  if (!(input_num & 0x0F)) {
    input_num >>= 4;
    last_bit |= 4;
  }
  if (!(input_num & 0x3)) {
    input_num >>= 2;
    last_bit |= 2;
  }
  if (!(input_num & 0x1)) {
    last_bit |= 1;
  }
  return last_bit;
}
 
/* count trailing zeroes for 32-bit integers */
simdjson_fastfloat_really_inline SIMDJSON_FASTFLOAT_CONSTEXPR20 int
countr_zero_32(uint32_t input_num) {
  if (cpp20_and_in_constexpr()) {
    return countr_zero_generic_32(input_num);
  }
#ifdef SIMDJSON_FASTFLOAT_VISUAL_STUDIO
  unsigned long trailing_zero = 0;
  if (_BitScanForward(&trailing_zero, input_num)) {
    return static_cast<int>(trailing_zero);
  }
  return 32;
#else
  return input_num == 0 ? 32 : __builtin_ctz(input_num);
#endif
}
 
// slow emulation routine for 32-bit
simdjson_fastfloat_really_inline constexpr uint64_t emulu(uint32_t x, uint32_t y) {
  return x * static_cast<uint64_t>(y);
}
 
simdjson_fastfloat_really_inline SIMDJSON_FASTFLOAT_CONSTEXPR14 uint64_t
umul128_generic(uint64_t ab, uint64_t cd, uint64_t *hi) {
  uint64_t ad =
      emulu(static_cast<uint32_t>(ab >> 32), static_cast<uint32_t>(cd));
  uint64_t bd = emulu(static_cast<uint32_t>(ab), static_cast<uint32_t>(cd));
  uint64_t adbc =
      ad + emulu(static_cast<uint32_t>(ab), static_cast<uint32_t>(cd >> 32));
  uint64_t adbc_carry = static_cast<uint64_t>(adbc < ad);
  uint64_t lo = bd + (adbc << 32);
  *hi =
      emulu(static_cast<uint32_t>(ab >> 32), static_cast<uint32_t>(cd >> 32)) +
      (adbc >> 32) + (adbc_carry << 32) + static_cast<uint64_t>(lo < bd);
  return lo;
}
 
#ifdef SIMDJSON_FASTFLOAT_32BIT
 
// slow emulation routine for 32-bit
#if !defined(__MINGW64__)
simdjson_fastfloat_really_inline SIMDJSON_FASTFLOAT_CONSTEXPR14 uint64_t _umul128(uint64_t ab,
                                                                uint64_t cd,
                                                                uint64_t *hi) {
  return umul128_generic(ab, cd, hi);
}
#endif // !__MINGW64__
 
#endif // SIMDJSON_FASTFLOAT_32BIT
 
// compute 64-bit a*b
simdjson_fastfloat_really_inline SIMDJSON_FASTFLOAT_CONSTEXPR20 value128
full_multiplication(uint64_t a, uint64_t b) {
  if (cpp20_and_in_constexpr()) {
    value128 answer;
    answer.low = umul128_generic(a, b, &answer.high);
    return answer;
  }
  value128 answer;
#if defined(_M_ARM64) && !defined(__MINGW32__)
  // ARM64 has native support for 64-bit multiplications, no need to emulate
  // But MinGW on ARM64 doesn't have native support for 64-bit multiplications
  answer.high = __umulh(a, b);
  answer.low = a * b;
#elif defined(SIMDJSON_FASTFLOAT_32BIT) || (defined(_WIN64) && !defined(__clang__) &&   \
                                   !defined(_M_ARM64) && !defined(__GNUC__))
  answer.low = _umul128(a, b, &answer.high); // _umul128 not available on ARM64
#elif defined(SIMDJSON_FASTFLOAT_64BIT) && defined(__SIZEOF_INT128__)
  __uint128_t r = static_cast<__uint128_t>(a) * b;
  answer.low = uint64_t(r);
  answer.high = uint64_t(r >> 64);
#else
  answer.low = umul128_generic(a, b, &answer.high);
#endif
  return answer;
}
 
struct adjusted_mantissa {
  uint64_t mantissa{0};
  int32_t power2{0}; // a negative value indicates an invalid result
  adjusted_mantissa() = default;
 
  constexpr bool operator==(adjusted_mantissa const &o) const {
    return mantissa == o.mantissa && power2 == o.power2;
  }
 
  constexpr bool operator!=(adjusted_mantissa const &o) const {
    return mantissa != o.mantissa || power2 != o.power2;
  }
};
 
// Bias so we can get the real exponent with an invalid adjusted_mantissa.
constexpr static int32_t invalid_am_bias = -0x8000;
 
// used for binary_format_lookup_tables<T>::max_mantissa
constexpr uint64_t constant_55555 = 5 * 5 * 5 * 5 * 5;
 
template <typename T, typename U = void> struct binary_format_lookup_tables;
 
template <typename T> struct binary_format : binary_format_lookup_tables<T> {
  using equiv_uint = equiv_uint_t<T>;
 
  static constexpr int mantissa_explicit_bits();
  static constexpr int minimum_exponent();
  static constexpr int infinite_power();
  static constexpr int sign_index();
  static constexpr int
  min_exponent_fast_path(); // used when fegetround() == FE_TONEAREST
  static constexpr int max_exponent_fast_path();
  static constexpr int max_exponent_round_to_even();
  static constexpr int min_exponent_round_to_even();
  static constexpr uint64_t max_mantissa_fast_path(int64_t power);
  static constexpr uint64_t
  max_mantissa_fast_path(); // used when fegetround() == FE_TONEAREST
  static constexpr int largest_power_of_ten();
  static constexpr int smallest_power_of_ten();
  static constexpr T exact_power_of_ten(int64_t power);
  static constexpr size_t max_digits();
  static constexpr equiv_uint exponent_mask();
  static constexpr equiv_uint mantissa_mask();
  static constexpr equiv_uint hidden_bit_mask();
};
 
template <typename U> struct binary_format_lookup_tables<double, U> {
  static constexpr double powers_of_ten[] = {
      1e0,  1e1,  1e2,  1e3,  1e4,  1e5,  1e6,  1e7,  1e8,  1e9,  1e10, 1e11,
      1e12, 1e13, 1e14, 1e15, 1e16, 1e17, 1e18, 1e19, 1e20, 1e21, 1e22};
 
  // Largest integer value v so that (5**index * v) <= 1<<53.
  // 0x20000000000000 == 1 << 53
  static constexpr uint64_t max_mantissa[] = {
      0x20000000000000,
      0x20000000000000 / 5,
      0x20000000000000 / (5 * 5),
      0x20000000000000 / (5 * 5 * 5),
      0x20000000000000 / (5 * 5 * 5 * 5),
      0x20000000000000 / (constant_55555),
      0x20000000000000 / (constant_55555 * 5),
      0x20000000000000 / (constant_55555 * 5 * 5),
      0x20000000000000 / (constant_55555 * 5 * 5 * 5),
      0x20000000000000 / (constant_55555 * 5 * 5 * 5 * 5),
      0x20000000000000 / (constant_55555 * constant_55555),
      0x20000000000000 / (constant_55555 * constant_55555 * 5),
      0x20000000000000 / (constant_55555 * constant_55555 * 5 * 5),
      0x20000000000000 / (constant_55555 * constant_55555 * 5 * 5 * 5),
      0x20000000000000 / (constant_55555 * constant_55555 * constant_55555),
      0x20000000000000 / (constant_55555 * constant_55555 * constant_55555 * 5),
      0x20000000000000 /
          (constant_55555 * constant_55555 * constant_55555 * 5 * 5),
      0x20000000000000 /
          (constant_55555 * constant_55555 * constant_55555 * 5 * 5 * 5),
      0x20000000000000 /
          (constant_55555 * constant_55555 * constant_55555 * 5 * 5 * 5 * 5),
      0x20000000000000 /
          (constant_55555 * constant_55555 * constant_55555 * constant_55555),
      0x20000000000000 / (constant_55555 * constant_55555 * constant_55555 *
                          constant_55555 * 5),
      0x20000000000000 / (constant_55555 * constant_55555 * constant_55555 *
                          constant_55555 * 5 * 5),
      0x20000000000000 / (constant_55555 * constant_55555 * constant_55555 *
                          constant_55555 * 5 * 5 * 5),
      0x20000000000000 / (constant_55555 * constant_55555 * constant_55555 *
                          constant_55555 * 5 * 5 * 5 * 5)};
};
 
#if SIMDJSON_FASTFLOAT_DETAIL_MUST_DEFINE_CONSTEXPR_VARIABLE
 
template <typename U>
constexpr double binary_format_lookup_tables<double, U>::powers_of_ten[];
 
template <typename U>
constexpr uint64_t binary_format_lookup_tables<double, U>::max_mantissa[];
 
#endif
 
template <typename U> struct binary_format_lookup_tables<float, U> {
  static constexpr float powers_of_ten[] = {1e0f, 1e1f, 1e2f, 1e3f, 1e4f, 1e5f,
                                            1e6f, 1e7f, 1e8f, 1e9f, 1e10f};
 
  // Largest integer value v so that (5**index * v) <= 1<<24.
  // 0x1000000 == 1<<24
  static constexpr uint64_t max_mantissa[] = {
      0x1000000,
      0x1000000 / 5,
      0x1000000 / (5 * 5),
      0x1000000 / (5 * 5 * 5),
      0x1000000 / (5 * 5 * 5 * 5),
      0x1000000 / (constant_55555),
      0x1000000 / (constant_55555 * 5),
      0x1000000 / (constant_55555 * 5 * 5),
      0x1000000 / (constant_55555 * 5 * 5 * 5),
      0x1000000 / (constant_55555 * 5 * 5 * 5 * 5),
      0x1000000 / (constant_55555 * constant_55555),
      0x1000000 / (constant_55555 * constant_55555 * 5)};
};
 
#if SIMDJSON_FASTFLOAT_DETAIL_MUST_DEFINE_CONSTEXPR_VARIABLE
 
template <typename U>
constexpr float binary_format_lookup_tables<float, U>::powers_of_ten[];
 
template <typename U>
constexpr uint64_t binary_format_lookup_tables<float, U>::max_mantissa[];
 
#endif
 
template <>
inline constexpr int binary_format<double>::min_exponent_fast_path() {
#if (FLT_EVAL_METHOD != 1) && (FLT_EVAL_METHOD != 0)
  return 0;
#else
  return -22;
#endif
}
 
template <>
inline constexpr int binary_format<float>::min_exponent_fast_path() {
#if (FLT_EVAL_METHOD != 1) && (FLT_EVAL_METHOD != 0)
  return 0;
#else
  return -10;
#endif
}
 
template <>
inline constexpr int binary_format<double>::mantissa_explicit_bits() {
  return 52;
}
 
template <>
inline constexpr int binary_format<float>::mantissa_explicit_bits() {
  return 23;
}
 
template <>
inline constexpr int binary_format<double>::max_exponent_round_to_even() {
  return 23;
}
 
template <>
inline constexpr int binary_format<float>::max_exponent_round_to_even() {
  return 10;
}
 
template <>
inline constexpr int binary_format<double>::min_exponent_round_to_even() {
  return -4;
}
 
template <>
inline constexpr int binary_format<float>::min_exponent_round_to_even() {
  return -17;
}
 
template <> inline constexpr int binary_format<double>::minimum_exponent() {
  return -1023;
}
 
template <> inline constexpr int binary_format<float>::minimum_exponent() {
  return -127;
}
 
template <> inline constexpr int binary_format<double>::infinite_power() {
  return 0x7FF;
}
 
template <> inline constexpr int binary_format<float>::infinite_power() {
  return 0xFF;
}
 
template <> inline constexpr int binary_format<double>::sign_index() {
  return 63;
}
 
template <> inline constexpr int binary_format<float>::sign_index() {
  return 31;
}
 
template <>
inline constexpr int binary_format<double>::max_exponent_fast_path() {
  return 22;
}
 
template <>
inline constexpr int binary_format<float>::max_exponent_fast_path() {
  return 10;
}
 
template <>
inline constexpr uint64_t binary_format<double>::max_mantissa_fast_path() {
  return uint64_t(2) << mantissa_explicit_bits();
}
 
template <>
inline constexpr uint64_t binary_format<float>::max_mantissa_fast_path() {
  return uint64_t(2) << mantissa_explicit_bits();
}
 
// credit: Jakub Jelinek
#ifdef __STDCPP_FLOAT16_T__
template <typename U> struct binary_format_lookup_tables<std::float16_t, U> {
  static constexpr std::float16_t powers_of_ten[] = {1e0f16, 1e1f16, 1e2f16,
                                                     1e3f16, 1e4f16};
 
  // Largest integer value v so that (5**index * v) <= 1<<11.
  // 0x800 == 1<<11
  static constexpr uint64_t max_mantissa[] = {0x800,
                                              0x800 / 5,
                                              0x800 / (5 * 5),
                                              0x800 / (5 * 5 * 5),
                                              0x800 / (5 * 5 * 5 * 5),
                                              0x800 / (constant_55555)};
};
 
#if SIMDJSON_FASTFLOAT_DETAIL_MUST_DEFINE_CONSTEXPR_VARIABLE
 
template <typename U>
constexpr std::float16_t
    binary_format_lookup_tables<std::float16_t, U>::powers_of_ten[];
 
template <typename U>
constexpr uint64_t
    binary_format_lookup_tables<std::float16_t, U>::max_mantissa[];
 
#endif
 
template <>
inline constexpr std::float16_t
binary_format<std::float16_t>::exact_power_of_ten(int64_t power) {
  // Work around clang bug https://godbolt.org/z/zedh7rrhc
  return static_cast<void>(powers_of_ten[0]), powers_of_ten[power];
}
 
template <>
inline constexpr binary_format<std::float16_t>::equiv_uint
binary_format<std::float16_t>::exponent_mask() {
  return 0x7C00;
}
 
template <>
inline constexpr binary_format<std::float16_t>::equiv_uint
binary_format<std::float16_t>::mantissa_mask() {
  return 0x03FF;
}
 
template <>
inline constexpr binary_format<std::float16_t>::equiv_uint
binary_format<std::float16_t>::hidden_bit_mask() {
  return 0x0400;
}
 
template <>
inline constexpr int binary_format<std::float16_t>::max_exponent_fast_path() {
  return 4;
}
 
template <>
inline constexpr int binary_format<std::float16_t>::mantissa_explicit_bits() {
  return 10;
}
 
template <>
inline constexpr uint64_t
binary_format<std::float16_t>::max_mantissa_fast_path() {
  return uint64_t(2) << mantissa_explicit_bits();
}
 
template <>
inline constexpr uint64_t
binary_format<std::float16_t>::max_mantissa_fast_path(int64_t power) {
  // caller is responsible to ensure that
  // power >= 0 && power <= 4
  //
  // Work around clang bug https://godbolt.org/z/zedh7rrhc
  return static_cast<void>(max_mantissa[0]), max_mantissa[power];
}
 
template <>
inline constexpr int binary_format<std::float16_t>::min_exponent_fast_path() {
  return 0;
}
 
template <>
inline constexpr int
binary_format<std::float16_t>::max_exponent_round_to_even() {
  return 5;
}
 
template <>
inline constexpr int
binary_format<std::float16_t>::min_exponent_round_to_even() {
  return -22;
}
 
template <>
inline constexpr int binary_format<std::float16_t>::minimum_exponent() {
  return -15;
}
 
template <>
inline constexpr int binary_format<std::float16_t>::infinite_power() {
  return 0x1F;
}
 
template <> inline constexpr int binary_format<std::float16_t>::sign_index() {
  return 15;
}
 
template <>
inline constexpr int binary_format<std::float16_t>::largest_power_of_ten() {
  return 4;
}
 
template <>
inline constexpr int binary_format<std::float16_t>::smallest_power_of_ten() {
  return -27;
}
 
template <>
inline constexpr size_t binary_format<std::float16_t>::max_digits() {
  return 22;
}
#endif // __STDCPP_FLOAT16_T__
 
// credit: Jakub Jelinek
#ifdef __STDCPP_BFLOAT16_T__
template <typename U> struct binary_format_lookup_tables<std::bfloat16_t, U> {
  static constexpr std::bfloat16_t powers_of_ten[] = {1e0bf16, 1e1bf16, 1e2bf16,
                                                      1e3bf16};
 
  // Largest integer value v so that (5**index * v) <= 1<<8.
  // 0x100 == 1<<8
  static constexpr uint64_t max_mantissa[] = {0x100, 0x100 / 5, 0x100 / (5 * 5),
                                              0x100 / (5 * 5 * 5),
                                              0x100 / (5 * 5 * 5 * 5)};
};
 
#if SIMDJSON_FASTFLOAT_DETAIL_MUST_DEFINE_CONSTEXPR_VARIABLE
 
template <typename U>
constexpr std::bfloat16_t
    binary_format_lookup_tables<std::bfloat16_t, U>::powers_of_ten[];
 
template <typename U>
constexpr uint64_t
    binary_format_lookup_tables<std::bfloat16_t, U>::max_mantissa[];
 
#endif
 
template <>
inline constexpr std::bfloat16_t
binary_format<std::bfloat16_t>::exact_power_of_ten(int64_t power) {
  // Work around clang bug https://godbolt.org/z/zedh7rrhc
  return static_cast<void>(powers_of_ten[0]), powers_of_ten[power];
}
 
template <>
inline constexpr int binary_format<std::bfloat16_t>::max_exponent_fast_path() {
  return 3;
}
 
template <>
inline constexpr binary_format<std::bfloat16_t>::equiv_uint
binary_format<std::bfloat16_t>::exponent_mask() {
  return 0x7F80;
}
 
template <>
inline constexpr binary_format<std::bfloat16_t>::equiv_uint
binary_format<std::bfloat16_t>::mantissa_mask() {
  return 0x007F;
}
 
template <>
inline constexpr binary_format<std::bfloat16_t>::equiv_uint
binary_format<std::bfloat16_t>::hidden_bit_mask() {
  return 0x0080;
}
 
template <>
inline constexpr int binary_format<std::bfloat16_t>::mantissa_explicit_bits() {
  return 7;
}
 
template <>
inline constexpr uint64_t
binary_format<std::bfloat16_t>::max_mantissa_fast_path() {
  return uint64_t(2) << mantissa_explicit_bits();
}
 
template <>
inline constexpr uint64_t
binary_format<std::bfloat16_t>::max_mantissa_fast_path(int64_t power) {
  // caller is responsible to ensure that
  // power >= 0 && power <= 3
  //
  // Work around clang bug https://godbolt.org/z/zedh7rrhc
  return static_cast<void>(max_mantissa[0]), max_mantissa[power];
}
 
template <>
inline constexpr int binary_format<std::bfloat16_t>::min_exponent_fast_path() {
  return 0;
}
 
template <>
inline constexpr int
binary_format<std::bfloat16_t>::max_exponent_round_to_even() {
  return 3;
}
 
template <>
inline constexpr int
binary_format<std::bfloat16_t>::min_exponent_round_to_even() {
  return -24;
}
 
template <>
inline constexpr int binary_format<std::bfloat16_t>::minimum_exponent() {
  return -127;
}
 
template <>
inline constexpr int binary_format<std::bfloat16_t>::infinite_power() {
  return 0xFF;
}
 
template <> inline constexpr int binary_format<std::bfloat16_t>::sign_index() {
  return 15;
}
 
template <>
inline constexpr int binary_format<std::bfloat16_t>::largest_power_of_ten() {
  return 38;
}
 
template <>
inline constexpr int binary_format<std::bfloat16_t>::smallest_power_of_ten() {
  return -60;
}
 
template <>
inline constexpr size_t binary_format<std::bfloat16_t>::max_digits() {
  return 98;
}
#endif // __STDCPP_BFLOAT16_T__
 
template <>
inline constexpr uint64_t
binary_format<double>::max_mantissa_fast_path(int64_t power) {
  // caller is responsible to ensure that
  // power >= 0 && power <= 22
  //
  // Work around clang bug https://godbolt.org/z/zedh7rrhc
  return static_cast<void>(max_mantissa[0]), max_mantissa[power];
}
 
template <>
inline constexpr uint64_t
binary_format<float>::max_mantissa_fast_path(int64_t power) {
  // caller is responsible to ensure that
  // power >= 0 && power <= 10
  //
  // Work around clang bug https://godbolt.org/z/zedh7rrhc
  return static_cast<void>(max_mantissa[0]), max_mantissa[power];
}
 
template <>
inline constexpr double
binary_format<double>::exact_power_of_ten(int64_t power) {
  // Work around clang bug https://godbolt.org/z/zedh7rrhc
  return static_cast<void>(powers_of_ten[0]), powers_of_ten[power];
}
 
template <>
inline constexpr float binary_format<float>::exact_power_of_ten(int64_t power) {
  // Work around clang bug https://godbolt.org/z/zedh7rrhc
  return static_cast<void>(powers_of_ten[0]), powers_of_ten[power];
}
 
template <> inline constexpr int binary_format<double>::largest_power_of_ten() {
  return 308;
}
 
template <> inline constexpr int binary_format<float>::largest_power_of_ten() {
  return 38;
}
 
template <>
inline constexpr int binary_format<double>::smallest_power_of_ten() {
  return -342;
}
 
template <> inline constexpr int binary_format<float>::smallest_power_of_ten() {
  return -64;
}
 
template <> inline constexpr size_t binary_format<double>::max_digits() {
  return 769;
}
 
template <> inline constexpr size_t binary_format<float>::max_digits() {
  return 114;
}
 
template <>
inline constexpr binary_format<float>::equiv_uint
binary_format<float>::exponent_mask() {
  return 0x7F800000;
}
 
template <>
inline constexpr binary_format<double>::equiv_uint
binary_format<double>::exponent_mask() {
  return 0x7FF0000000000000;
}
 
template <>
inline constexpr binary_format<float>::equiv_uint
binary_format<float>::mantissa_mask() {
  return 0x007FFFFF;
}
 
template <>
inline constexpr binary_format<double>::equiv_uint
binary_format<double>::mantissa_mask() {
  return 0x000FFFFFFFFFFFFF;
}
 
template <>
inline constexpr binary_format<float>::equiv_uint
binary_format<float>::hidden_bit_mask() {
  return 0x00800000;
}
 
template <>
inline constexpr binary_format<double>::equiv_uint
binary_format<double>::hidden_bit_mask() {
  return 0x0010000000000000;
}
 
template <typename T>
simdjson_fastfloat_really_inline SIMDJSON_FASTFLOAT_CONSTEXPR20 void
to_float(bool negative, adjusted_mantissa am, T &value) {
  using equiv_uint = equiv_uint_t<T>;
  equiv_uint word = equiv_uint(am.mantissa);
  word = equiv_uint(word | equiv_uint(am.power2)
                               << binary_format<T>::mantissa_explicit_bits());
  word =
      equiv_uint(word | equiv_uint(negative) << binary_format<T>::sign_index());
#if SIMDJSON_FASTFLOAT_HAS_BIT_CAST
  value = std::bit_cast<T>(word);
#else
  ::memcpy(&value, &word, sizeof(T));
#endif
}
 
template <typename = void> struct space_lut {
  static constexpr bool value[] = {
      0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
      0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
      0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
      0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
      0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
      0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
      0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
      0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
      0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
      0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
      0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0};
};
 
#if SIMDJSON_FASTFLOAT_DETAIL_MUST_DEFINE_CONSTEXPR_VARIABLE
 
template <typename T> constexpr bool space_lut<T>::value[];
 
#endif
 
template <typename UC> constexpr bool is_space(UC c) {
  // wchar_t and char can be signed, so a negative code unit slips past a plain
  // `c < 256` and then indexes the table by its truncated low byte. Compare as
  // unsigned, matching the care taken in ch_to_digit.
  using UnsignedUC = typename std::make_unsigned<UC>::type;
  return static_cast<UnsignedUC>(c) < 256 && space_lut<>::value[uint8_t(c)];
}
 
template <typename UC> static constexpr uint64_t int_cmp_zeros() {
  static_assert((sizeof(UC) == 1) || (sizeof(UC) == 2) || (sizeof(UC) == 4),
                "Unsupported character size");
  return (sizeof(UC) == 1) ? 0x3030303030303030
         : (sizeof(UC) == 2)
             ? (uint64_t(UC('0')) << 48 | uint64_t(UC('0')) << 32 |
                uint64_t(UC('0')) << 16 | UC('0'))
             : (uint64_t(UC('0')) << 32 | UC('0'));
}
 
template <typename UC> static constexpr int int_cmp_len() {
  return sizeof(uint64_t) / sizeof(UC);
}
 
template <typename UC> constexpr UC const *str_const_nan();
 
template <> constexpr char const *str_const_nan<char>() { return "nan"; }
 
template <> constexpr wchar_t const *str_const_nan<wchar_t>() { return L"nan"; }
 
template <> constexpr char16_t const *str_const_nan<char16_t>() {
  return u"nan";
}
 
template <> constexpr char32_t const *str_const_nan<char32_t>() {
  return U"nan";
}
 
#ifdef __cpp_char8_t
template <> constexpr char8_t const *str_const_nan<char8_t>() {
  return u8"nan";
}
#endif
 
template <typename UC> constexpr UC const *str_const_inf();
 
template <> constexpr char const *str_const_inf<char>() { return "infinity"; }
 
template <> constexpr wchar_t const *str_const_inf<wchar_t>() {
  return L"infinity";
}
 
template <> constexpr char16_t const *str_const_inf<char16_t>() {
  return u"infinity";
}
 
template <> constexpr char32_t const *str_const_inf<char32_t>() {
  return U"infinity";
}
 
#ifdef __cpp_char8_t
template <> constexpr char8_t const *str_const_inf<char8_t>() {
  return u8"infinity";
}
#endif
 
template <typename = void> struct int_luts {
  static constexpr uint8_t chdigit[] = {
      255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,
      255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,
      255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,
      255, 255, 255, 0,   1,   2,   3,   4,   5,   6,   7,   8,   9,   255, 255,
      255, 255, 255, 255, 255, 10,  11,  12,  13,  14,  15,  16,  17,  18,  19,
      20,  21,  22,  23,  24,  25,  26,  27,  28,  29,  30,  31,  32,  33,  34,
      35,  255, 255, 255, 255, 255, 255, 10,  11,  12,  13,  14,  15,  16,  17,
      18,  19,  20,  21,  22,  23,  24,  25,  26,  27,  28,  29,  30,  31,  32,
      33,  34,  35,  255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,
      255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,
      255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,
      255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,
      255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,
      255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,
      255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,
      255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,
      255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255,
      255};
 
  static constexpr size_t maxdigits_u64[] = {
      64, 41, 32, 28, 25, 23, 22, 21, 20, 19, 18, 18, 17, 17, 16, 16, 16, 16,
      15, 15, 15, 15, 14, 14, 14, 14, 14, 14, 14, 13, 13, 13, 13, 13, 13};
 
  static constexpr uint64_t min_safe_u64[] = {
      9223372036854775808ull,  12157665459056928801ull, 4611686018427387904,
      7450580596923828125,     4738381338321616896,     3909821048582988049,
      9223372036854775808ull,  12157665459056928801ull, 10000000000000000000ull,
      5559917313492231481,     2218611106740436992,     8650415919381337933,
      2177953337809371136,     6568408355712890625,     1152921504606846976,
      2862423051509815793,     6746640616477458432,     15181127029874798299ull,
      1638400000000000000,     3243919932521508681,     6221821273427820544,
      11592836324538749809ull, 876488338465357824,      1490116119384765625,
      2481152873203736576,     4052555153018976267,     6502111422497947648,
      10260628712958602189ull, 15943230000000000000ull, 787662783788549761,
      1152921504606846976,     1667889514952984961,     2386420683693101056,
      3379220508056640625,     4738381338321616896};
};
 
#if SIMDJSON_FASTFLOAT_DETAIL_MUST_DEFINE_CONSTEXPR_VARIABLE
 
template <typename T> constexpr uint8_t int_luts<T>::chdigit[];
 
template <typename T> constexpr size_t int_luts<T>::maxdigits_u64[];
 
template <typename T> constexpr uint64_t int_luts<T>::min_safe_u64[];
 
#endif
 
template <typename UC>
simdjson_fastfloat_really_inline constexpr uint8_t ch_to_digit(UC c) {
  // wchar_t and char can be signed, so we need to be careful.
  using UnsignedUC = typename std::make_unsigned<UC>::type;
  return int_luts<>::chdigit[static_cast<unsigned char>(
      static_cast<UnsignedUC>(c) &
      static_cast<UnsignedUC>(
          -((static_cast<UnsignedUC>(c) & ~0xFFull) == 0)))];
}
 
simdjson_fastfloat_really_inline constexpr size_t max_digits_u64(int base) {
  return int_luts<>::maxdigits_u64[base - 2];
}
 
// If a u64 is exactly max_digits_u64() in length, this is
// the value below which it has definitely overflowed.
simdjson_fastfloat_really_inline constexpr uint64_t min_safe_u64(int base) {
  return int_luts<>::min_safe_u64[base - 2];
}
 
static_assert(std::is_same<equiv_uint_t<double>, uint64_t>::value,
              "equiv_uint should be uint64_t for double");
static_assert(std::numeric_limits<double>::is_iec559,
              "double must fulfill the requirements of IEC 559 (IEEE 754)");
 
static_assert(std::is_same<equiv_uint_t<float>, uint32_t>::value,
              "equiv_uint should be uint32_t for float");
static_assert(std::numeric_limits<float>::is_iec559,
              "float must fulfill the requirements of IEC 559 (IEEE 754)");
 
#ifdef __STDCPP_FLOAT64_T__
static_assert(std::is_same<equiv_uint_t<std::float64_t>, uint64_t>::value,
              "equiv_uint should be uint64_t for std::float64_t");
static_assert(
    std::numeric_limits<std::float64_t>::is_iec559,
    "std::float64_t must fulfill the requirements of IEC 559 (IEEE 754)");
 
template <>
struct binary_format<std::float64_t> : public binary_format<double> {};
#endif // __STDCPP_FLOAT64_T__
 
#ifdef __STDCPP_FLOAT32_T__
static_assert(std::is_same<equiv_uint_t<std::float32_t>, uint32_t>::value,
              "equiv_uint should be uint32_t for std::float32_t");
static_assert(
    std::numeric_limits<std::float32_t>::is_iec559,
    "std::float32_t must fulfill the requirements of IEC 559 (IEEE 754)");
 
template <>
struct binary_format<std::float32_t> : public binary_format<float> {};
#endif // __STDCPP_FLOAT32_T__
 
#ifdef __STDCPP_FLOAT16_T__
static_assert(
    std::is_same<binary_format<std::float16_t>::equiv_uint, uint16_t>::value,
    "equiv_uint should be uint16_t for std::float16_t");
static_assert(
    std::numeric_limits<std::float16_t>::is_iec559,
    "std::float16_t must fulfill the requirements of IEC 559 (IEEE 754)");
#endif // __STDCPP_FLOAT16_T__
 
#ifdef __STDCPP_BFLOAT16_T__
static_assert(
    std::is_same<binary_format<std::bfloat16_t>::equiv_uint, uint16_t>::value,
    "equiv_uint should be uint16_t for std::bfloat16_t");
static_assert(
    std::numeric_limits<std::bfloat16_t>::is_iec559,
    "std::bfloat16_t must fulfill the requirements of IEC 559 (IEEE 754)");
#endif // __STDCPP_BFLOAT16_T__
 
constexpr chars_format operator~(chars_format rhs) noexcept {
  using int_type = std::underlying_type<chars_format>::type;
  return static_cast<chars_format>(~static_cast<int_type>(rhs));
}
 
constexpr chars_format operator&(chars_format lhs, chars_format rhs) noexcept {
  using int_type = std::underlying_type<chars_format>::type;
  return static_cast<chars_format>(static_cast<int_type>(lhs) &
                                   static_cast<int_type>(rhs));
}
 
constexpr chars_format operator|(chars_format lhs, chars_format rhs) noexcept {
  using int_type = std::underlying_type<chars_format>::type;
  return static_cast<chars_format>(static_cast<int_type>(lhs) |
                                   static_cast<int_type>(rhs));
}
 
constexpr chars_format operator^(chars_format lhs, chars_format rhs) noexcept {
  using int_type = std::underlying_type<chars_format>::type;
  return static_cast<chars_format>(static_cast<int_type>(lhs) ^
                                   static_cast<int_type>(rhs));
}
 
simdjson_fastfloat_really_inline SIMDJSON_FASTFLOAT_CONSTEXPR14 chars_format &
operator&=(chars_format &lhs, chars_format rhs) noexcept {
  return lhs = (lhs & rhs);
}
 
simdjson_fastfloat_really_inline SIMDJSON_FASTFLOAT_CONSTEXPR14 chars_format &
operator|=(chars_format &lhs, chars_format rhs) noexcept {
  return lhs = (lhs | rhs);
}
 
simdjson_fastfloat_really_inline SIMDJSON_FASTFLOAT_CONSTEXPR14 chars_format &
operator^=(chars_format &lhs, chars_format rhs) noexcept {
  return lhs = (lhs ^ rhs);
}
 
namespace detail {
// adjust for deprecated feature macros
constexpr chars_format adjust_for_feature_macros(chars_format fmt) {
  return fmt
#ifdef SIMDJSON_FASTFLOAT_ALLOWS_LEADING_PLUS
         | chars_format::allow_leading_plus
#endif
#ifdef SIMDJSON_FASTFLOAT_SKIP_WHITE_SPACE
         | chars_format::skip_white_space
#endif
      ;
}
} // namespace detail
} // namespace simdjson_fast_float
 
#endif
 
 
#ifndef SIMDJSON_FASTFLOAT_FAST_FLOAT_H
#define SIMDJSON_FASTFLOAT_FAST_FLOAT_H
 
 
namespace simdjson_fast_float {
template <typename T, typename UC = char,
          typename = SIMDJSON_FASTFLOAT_ENABLE_IF(is_supported_float_type<T>::value)>
SIMDJSON_FASTFLOAT_CONSTEXPR20 from_chars_result_t<UC>
from_chars(UC const *first, UC const *last, T &value,
           chars_format fmt = chars_format::general) noexcept;
 
template <typename T, typename UC = char>
SIMDJSON_FASTFLOAT_CONSTEXPR20 from_chars_result_t<UC>
from_chars_advanced(UC const *first, UC const *last, T &value,
                    parse_options_t<UC> options) noexcept;
 
SIMDJSON_FASTFLOAT_CONSTEXPR20 inline double
integer_times_pow10(uint64_t mantissa, int decimal_exponent) noexcept;
SIMDJSON_FASTFLOAT_CONSTEXPR20 inline double
integer_times_pow10(int64_t mantissa, int decimal_exponent) noexcept;
 
template <typename T>
SIMDJSON_FASTFLOAT_CONSTEXPR20
    typename std::enable_if<is_supported_float_type<T>::value, T>::type
    integer_times_pow10(uint64_t mantissa, int decimal_exponent) noexcept;
template <typename T>
SIMDJSON_FASTFLOAT_CONSTEXPR20
    typename std::enable_if<is_supported_float_type<T>::value, T>::type
    integer_times_pow10(int64_t mantissa, int decimal_exponent) noexcept;
 
template <typename T, typename UC = char,
          typename = SIMDJSON_FASTFLOAT_ENABLE_IF(is_supported_integer_type<T>::value)>
SIMDJSON_FASTFLOAT_CONSTEXPR20 from_chars_result_t<UC>
from_chars(UC const *first, UC const *last, T &value, int base = 10) noexcept;
 
} // namespace simdjson_fast_float
 
#endif // SIMDJSON_FASTFLOAT_FAST_FLOAT_H
 
#ifndef SIMDJSON_FASTFLOAT_ASCII_NUMBER_H
#define SIMDJSON_FASTFLOAT_ASCII_NUMBER_H
 
#include <cctype>
#include <cstdint>
#include <cstring>
#include <iterator>
#include <limits>
#include <type_traits>
 
 
#ifdef SIMDJSON_FASTFLOAT_SSE2
#include <emmintrin.h>
#endif
 
#ifdef SIMDJSON_FASTFLOAT_NEON
#include <arm_neon.h>
#endif
 
namespace simdjson_fast_float {
 
template <typename UC> simdjson_fastfloat_really_inline constexpr bool has_simd_opt() {
#ifdef SIMDJSON_FASTFLOAT_HAS_SIMD
  return std::is_same<UC, char16_t>::value;
#else
  return false;
#endif
}
 
// Next function can be micro-optimized, but compilers are entirely
// able to optimize it well.
template <typename UC>
simdjson_fastfloat_really_inline constexpr bool is_integer(UC c) noexcept {
  return static_cast<unsigned>(c - UC('0')) <= 9u;
}
 
simdjson_fastfloat_really_inline constexpr uint64_t byteswap(uint64_t val) {
  return (val & 0xFF00000000000000) >> 56 | (val & 0x00FF000000000000) >> 40 |
         (val & 0x0000FF0000000000) >> 24 | (val & 0x000000FF00000000) >> 8 |
         (val & 0x00000000FF000000) << 8 | (val & 0x0000000000FF0000) << 24 |
         (val & 0x000000000000FF00) << 40 | (val & 0x00000000000000FF) << 56;
}
 
simdjson_fastfloat_really_inline constexpr uint32_t byteswap_32(uint32_t val) {
  return (val >> 24) | ((val >> 8) & 0x0000FF00u) | ((val << 8) & 0x00FF0000u) |
         (val << 24);
}
 
// Read 8 UC into a u64. Truncates UC if not char.
template <typename UC>
simdjson_fastfloat_really_inline SIMDJSON_FASTFLOAT_CONSTEXPR20 uint64_t
read8_to_u64(UC const *chars) {
  if (cpp20_and_in_constexpr() || !std::is_same<UC, char>::value) {
    uint64_t val = 0;
    for (int i = 0; i < 8; ++i) {
      val |= uint64_t(uint8_t(*chars)) << (i * 8);
      ++chars;
    }
    return val;
  }
  uint64_t val;
  ::memcpy(&val, chars, sizeof(uint64_t));
#if SIMDJSON_FASTFLOAT_IS_BIG_ENDIAN == 1
  // Need to read as-if the number was in little-endian order.
  val = byteswap(val);
#endif
  return val;
}
 
// Read 4 UC into a u32. Truncates UC if not char.
template <typename UC>
simdjson_fastfloat_really_inline SIMDJSON_FASTFLOAT_CONSTEXPR20 uint32_t
read4_to_u32(UC const *chars) {
  if (cpp20_and_in_constexpr() || !std::is_same<UC, char>::value) {
    uint32_t val = 0;
    for (int i = 0; i < 4; ++i) {
      val |= uint32_t(uint8_t(*chars)) << (i * 8);
      ++chars;
    }
    return val;
  }
  uint32_t val;
  ::memcpy(&val, chars, sizeof(uint32_t));
#if SIMDJSON_FASTFLOAT_IS_BIG_ENDIAN == 1
  val = byteswap_32(val);
#endif
  return val;
}
#ifdef SIMDJSON_FASTFLOAT_SSE2
 
simdjson_fastfloat_really_inline uint64_t simd_read8_to_u64(__m128i const data) {
  SIMDJSON_FASTFLOAT_SIMD_DISABLE_WARNINGS
  __m128i const packed = _mm_packus_epi16(data, data);
#ifdef SIMDJSON_FASTFLOAT_64BIT
  return uint64_t(_mm_cvtsi128_si64(packed));
#else
  uint64_t value;
  // Visual Studio + older versions of GCC don't support _mm_storeu_si64
  _mm_storel_epi64(reinterpret_cast<__m128i *>(&value), packed);
  return value;
#endif
  SIMDJSON_FASTFLOAT_SIMD_RESTORE_WARNINGS
}
 
simdjson_fastfloat_really_inline uint64_t simd_read8_to_u64(char16_t const *chars) {
  SIMDJSON_FASTFLOAT_SIMD_DISABLE_WARNINGS
  return simd_read8_to_u64(
      _mm_loadu_si128(reinterpret_cast<__m128i const *>(chars)));
  SIMDJSON_FASTFLOAT_SIMD_RESTORE_WARNINGS
}
 
#elif defined(SIMDJSON_FASTFLOAT_NEON)
 
simdjson_fastfloat_really_inline uint64_t simd_read8_to_u64(uint16x8_t const data) {
  SIMDJSON_FASTFLOAT_SIMD_DISABLE_WARNINGS
  uint8x8_t utf8_packed = vmovn_u16(data);
  return vget_lane_u64(vreinterpret_u64_u8(utf8_packed), 0);
  SIMDJSON_FASTFLOAT_SIMD_RESTORE_WARNINGS
}
 
simdjson_fastfloat_really_inline uint64_t simd_read8_to_u64(char16_t const *chars) {
  SIMDJSON_FASTFLOAT_SIMD_DISABLE_WARNINGS
  return simd_read8_to_u64(
      vld1q_u16(reinterpret_cast<uint16_t const *>(chars)));
  SIMDJSON_FASTFLOAT_SIMD_RESTORE_WARNINGS
}
 
#endif // SIMDJSON_FASTFLOAT_SSE2
 
// MSVC SFINAE is broken pre-VS2017
#if defined(_MSC_VER) && _MSC_VER <= 1900
template <typename UC>
#else
template <typename UC, SIMDJSON_FASTFLOAT_ENABLE_IF(!has_simd_opt<UC>()) = 0>
#endif
// dummy for compile
uint64_t simd_read8_to_u64(UC const *) {
  return 0;
}
 
// credit  @aqrit
simdjson_fastfloat_really_inline SIMDJSON_FASTFLOAT_CONSTEXPR14 uint32_t
parse_eight_digits_unrolled(uint64_t val) {
  uint64_t const mask = 0x000000FF000000FF;
  uint64_t const mul1 = 0x000F424000000064; // 100 + (1000000ULL << 32)
  uint64_t const mul2 = 0x0000271000000001; // 1 + (10000ULL << 32)
  val -= 0x3030303030303030;
  val = (val * 10) + (val >> 8); // val = (val * 2561) >> 8;
  val = (((val & mask) * mul1) + (((val >> 16) & mask) * mul2)) >> 32;
  return uint32_t(val);
}
 
// Call this if chars are definitely 8 digits.
template <typename UC>
simdjson_fastfloat_really_inline SIMDJSON_FASTFLOAT_CONSTEXPR20 uint32_t
parse_eight_digits_unrolled(UC const *chars) noexcept {
  if (cpp20_and_in_constexpr() || !has_simd_opt<UC>()) {
    return parse_eight_digits_unrolled(read8_to_u64(chars)); // truncation okay
  }
  return parse_eight_digits_unrolled(simd_read8_to_u64(chars));
}
 
// credit @aqrit
simdjson_fastfloat_really_inline constexpr bool
is_made_of_eight_digits_fast(uint64_t val) noexcept {
  return !((((val + 0x4646464646464646) | (val - 0x3030303030303030)) &
            0x8080808080808080));
}
 
simdjson_fastfloat_really_inline constexpr bool
is_made_of_four_digits_fast(uint32_t val) noexcept {
  return !((((val + 0x46464646) | (val - 0x30303030)) & 0x80808080));
}
 
simdjson_fastfloat_really_inline SIMDJSON_FASTFLOAT_CONSTEXPR14 uint32_t
parse_four_digits_unrolled(uint32_t val) noexcept {
  val -= 0x30303030;
  val = (val * 10) + (val >> 8);
  return (((val & 0x00FF00FF) * 0x00640001) >> 16) & 0xFFFF;
}
 
#ifdef SIMDJSON_FASTFLOAT_HAS_SIMD
 
// Call this if chars might not be 8 digits.
// Using this style (instead of is_made_of_eight_digits_fast() then
// parse_eight_digits_unrolled()) ensures we don't load SIMD registers twice.
simdjson_fastfloat_really_inline SIMDJSON_FASTFLOAT_CONSTEXPR20 bool
simd_parse_if_eight_digits_unrolled(char16_t const *chars,
                                    uint64_t &i) noexcept {
  if (cpp20_and_in_constexpr()) {
    return false;
  }
#ifdef SIMDJSON_FASTFLOAT_SSE2
  SIMDJSON_FASTFLOAT_SIMD_DISABLE_WARNINGS
  __m128i const data =
      _mm_loadu_si128(reinterpret_cast<__m128i const *>(chars));
 
  // (x - '0') <= 9
  // http://0x80.pl/articles/simd-parsing-int-sequences.html
  __m128i const t0 = _mm_add_epi16(data, _mm_set1_epi16(32720));
  __m128i const t1 = _mm_cmpgt_epi16(t0, _mm_set1_epi16(-32759));
 
  if (_mm_movemask_epi8(t1) == 0) {
    i = i * 100000000 + parse_eight_digits_unrolled(simd_read8_to_u64(data));
    return true;
  } else
    return false;
  SIMDJSON_FASTFLOAT_SIMD_RESTORE_WARNINGS
#elif defined(SIMDJSON_FASTFLOAT_NEON)
  SIMDJSON_FASTFLOAT_SIMD_DISABLE_WARNINGS
  uint16x8_t const data = vld1q_u16(reinterpret_cast<uint16_t const *>(chars));
 
  // (x - '0') <= 9
  // http://0x80.pl/articles/simd-parsing-int-sequences.html
  uint16x8_t const t0 = vsubq_u16(data, vmovq_n_u16('0'));
  uint16x8_t const mask = vcltq_u16(t0, vmovq_n_u16('9' - '0' + 1));
 
  if (vminvq_u16(mask) == 0xFFFF) {
    i = i * 100000000 + parse_eight_digits_unrolled(simd_read8_to_u64(data));
    return true;
  } else
    return false;
  SIMDJSON_FASTFLOAT_SIMD_RESTORE_WARNINGS
#else
  static_cast<void>(chars);
  static_cast<void>(i);
  return false;
#endif // SIMDJSON_FASTFLOAT_SSE2
}
 
#endif // SIMDJSON_FASTFLOAT_HAS_SIMD
 
// MSVC SFINAE is broken pre-VS2017
#if defined(_MSC_VER) && _MSC_VER <= 1900
template <typename UC>
#else
template <typename UC, SIMDJSON_FASTFLOAT_ENABLE_IF(!has_simd_opt<UC>()) = 0>
#endif
// dummy for compile
bool simd_parse_if_eight_digits_unrolled(UC const *, uint64_t &) {
  return 0;
}
 
template <typename UC, SIMDJSON_FASTFLOAT_ENABLE_IF(!std::is_same<UC, char>::value) = 0>
simdjson_fastfloat_really_inline SIMDJSON_FASTFLOAT_CONSTEXPR20 void
loop_parse_if_eight_digits(UC const *&p, UC const *const pend, uint64_t &i) {
  if (!has_simd_opt<UC>()) {
    return;
  }
  while ((std::distance(p, pend) >= 8) &&
         simd_parse_if_eight_digits_unrolled(
             p, i)) { // in rare cases, this will overflow, but that's ok
    p += 8;
  }
}
 
simdjson_fastfloat_really_inline SIMDJSON_FASTFLOAT_CONSTEXPR20 void
loop_parse_if_eight_digits(char const *&p, char const *const pend,
                           uint64_t &i) {
  // optimizes better than parse_if_eight_digits_unrolled() for UC = char.
  while ((std::distance(p, pend) >= 8) &&
         is_made_of_eight_digits_fast(read8_to_u64(p))) {
    i = i * 100000000 +
        parse_eight_digits_unrolled(read8_to_u64(
            p)); // in rare cases, this will overflow, but that's ok
    p += 8;
  }
  // Consume a remaining 4-7 digit run in a single SWAR step instead of
  // byte-by-byte (reuses the existing 4-digit helpers). The parsed result is
  // identical either way. Historically gated to clang because gcc regressed on
  // short remainders, but that verdict predates the span-elision restructure;
  // with the leaner hot path the 4-digit step now wins on gcc as well.
  if ((pend - p) >= 4) {
    uint32_t const val4 = read4_to_u32(p);
    if (is_made_of_four_digits_fast(val4)) {
      i = i * 10000 +
          parse_four_digits_unrolled(val4); // may overflow, that's ok
      p += 4;
    }
  }
}
 
enum class parse_error {
  no_error,
  // [JSON-only] The minus sign must be followed by an integer.
  missing_integer_after_sign,
  // A sign must be followed by an integer or dot.
  missing_integer_or_dot_after_sign,
  // [JSON-only] The integer part must not have leading zeros.
  leading_zeros_in_integer_part,
  // [JSON-only] The integer part must have at least one digit.
  no_digits_in_integer_part,
  // [JSON-only] If there is a decimal point, there must be digits in the
  // fractional part.
  no_digits_in_fractional_part,
  // The mantissa must have at least one digit.
  no_digits_in_mantissa,
  // Scientific notation requires an exponential part.
  missing_exponential_part,
};
 
template <typename UC> struct parsed_number_string_t {
  int64_t exponent{0};
  uint64_t mantissa{0};
  UC const *lastmatch{nullptr};
  bool negative{false};
  bool valid{false};
  bool too_many_digits{false};
  // contains the range of the significant digits
  span<UC const> integer{};  // non-nullable
  span<UC const> fraction{}; // nullable
  parse_error error{parse_error::no_error};
};
 
using byte_span = span<char const>;
using parsed_number_string = parsed_number_string_t<char>;
 
template <typename UC>
simdjson_fastfloat_really_inline SIMDJSON_FASTFLOAT_CONSTEXPR20 parsed_number_string_t<UC>
report_parse_error(UC const *p, parse_error error) {
  parsed_number_string_t<UC> answer;
  answer.valid = false;
  answer.lastmatch = p;
  answer.error = error;
  return answer;
}
 
// Assuming that you use no more than 19 digits, this will
// parse an ASCII string.
//
// store_spans is a *runtime* flag (not a template parameter, deliberately: a
// template would create a second instantiation of this whole function and the
// extra icache pressure wipes out the gain). When false, the integer/fraction
// spans (read only by the rare digit_comp slow path) are not materialized,
// which keeps the fat parsed_number_string_t off the hot path. The caller
// re-parses with store_spans=true if the slow path is actually reached.
template <bool basic_json_fmt, typename UC>
simdjson_fastfloat_really_inline SIMDJSON_FASTFLOAT_CONSTEXPR20 parsed_number_string_t<UC>
parse_number_string(UC const *p, UC const *pend, parse_options_t<UC> options,
                    bool store_spans = true) noexcept {
  chars_format const fmt = detail::adjust_for_feature_macros(options.format);
  UC const decimal_point = options.decimal_point;
 
  parsed_number_string_t<UC> answer;
  answer.valid = false;
  answer.too_many_digits = false;
  // assume p < pend, so dereference without checks;
  answer.negative = (*p == UC('-'));
  // C++17 20.19.3.(7.1) explicitly forbids '+' sign here
  if ((*p == UC('-')) || (uint64_t(fmt & chars_format::allow_leading_plus) &&
                          !basic_json_fmt && *p == UC('+'))) {
    ++p;
    if (p == pend) {
      return report_parse_error<UC>(
          p, parse_error::missing_integer_or_dot_after_sign);
    }
    SIMDJSON_FASTFLOAT_IF_CONSTEXPR17(basic_json_fmt) {
      if (!is_integer(*p)) { // a sign must be followed by an integer
        return report_parse_error<UC>(p,
                                      parse_error::missing_integer_after_sign);
      }
    }
    else {
      if (!is_integer(*p) &&
          (*p !=
           decimal_point)) { // a sign must be followed by an integer or the dot
        return report_parse_error<UC>(
            p, parse_error::missing_integer_or_dot_after_sign);
      }
    }
  }
  UC const *const start_digits = p;
 
  uint64_t i = 0; // an unsigned int avoids signed overflows (which are bad)
 
  // Straight-line unroll of the integer-part scan: most integer parts are
  // 1-5 digits, so peeling the first iterations eliminates the loop back-edge
  // for the common case. Semantics are identical to the original `while` loop:
  // i = 10*i + digit, advancing p.
  if ((p != pend) && is_integer(*p)) {
    i = uint64_t(*p - UC('0'));
    ++p;
    if ((p != pend) && is_integer(*p)) {
      i = 10 * i + uint64_t(*p - UC('0'));
      ++p;
      if ((p != pend) && is_integer(*p)) {
        i = 10 * i + uint64_t(*p - UC('0'));
        ++p;
        if ((p != pend) && is_integer(*p)) {
          i = 10 * i + uint64_t(*p - UC('0'));
          ++p;
          if ((p != pend) && is_integer(*p)) {
            i = 10 * i + uint64_t(*p - UC('0'));
            ++p;
            while ((p != pend) && is_integer(*p)) {
              // a multiplication by 10 is cheaper than an arbitrary integer
              // multiplication
              i = 10 * i +
                  uint64_t(*p - UC('0')); // might overflow, handled later
              ++p;
            }
          }
        }
      }
    }
  }
  UC const *const end_of_integer_part = p;
  int64_t digit_count = int64_t(end_of_integer_part - start_digits);
  if (store_spans) {
    answer.integer = span<UC const>(start_digits, size_t(digit_count));
  }
  SIMDJSON_FASTFLOAT_IF_CONSTEXPR17(basic_json_fmt) {
    // at least 1 digit in integer part, without leading zeros
    if (digit_count == 0) {
      return report_parse_error<UC>(p, parse_error::no_digits_in_integer_part);
    }
    if ((start_digits[0] == UC('0') && digit_count > 1)) {
      return report_parse_error<UC>(start_digits,
                                    parse_error::leading_zeros_in_integer_part);
    }
  }
 
  int64_t exponent = 0;
  bool const has_decimal_point = (p != pend) && (*p == decimal_point);
  if (has_decimal_point) {
    ++p;
    UC const *before = p;
    // can occur at most twice without overflowing, but let it occur more, since
    // for integers with many digits, digit parsing is the primary bottleneck.
    loop_parse_if_eight_digits(p, pend, i);
 
    while ((p != pend) && is_integer(*p)) {
      uint8_t digit = uint8_t(*p - UC('0'));
      ++p;
      i = i * 10 + digit; // in rare cases, this will overflow, but that's ok
    }
    exponent = before - p;
    if (store_spans) {
      answer.fraction = span<UC const>(before, size_t(p - before));
    }
    digit_count -= exponent;
  }
  SIMDJSON_FASTFLOAT_IF_CONSTEXPR17(basic_json_fmt) {
    // at least 1 digit in fractional part
    if (has_decimal_point && exponent == 0) {
      return report_parse_error<UC>(p,
                                    parse_error::no_digits_in_fractional_part);
    }
  }
  else if (digit_count == 0) { // we must have encountered at least one integer!
    return report_parse_error<UC>(p, parse_error::no_digits_in_mantissa);
  }
  int64_t exp_number = 0; // explicit exponential part
  if ((uint64_t(fmt & chars_format::scientific) && (p != pend) &&
       ((UC('e') == *p) || (UC('E') == *p))) ||
      (uint64_t(fmt & detail::basic_fortran_fmt) && (p != pend) &&
       ((UC('+') == *p) || (UC('-') == *p) || (UC('d') == *p) ||
        (UC('D') == *p)))) {
    UC const *location_of_e = p;
    if ((UC('e') == *p) || (UC('E') == *p) || (UC('d') == *p) ||
        (UC('D') == *p)) {
      ++p;
    }
    bool neg_exp = false;
    if ((p != pend) && (UC('-') == *p)) {
      neg_exp = true;
      ++p;
    } else if ((p != pend) &&
               (UC('+') ==
                *p)) { // '+' on exponent is allowed by C++17 20.19.3.(7.1)
      ++p;
    }
    if ((p == pend) || !is_integer(*p)) {
      if (!uint64_t(fmt & chars_format::fixed)) {
        // The exponential part is invalid for scientific notation, so it must
        // be a trailing token for fixed notation. However, fixed notation is
        // disabled, so report a scientific notation error.
        return report_parse_error<UC>(p, parse_error::missing_exponential_part);
      }
      // Otherwise, we will be ignoring the 'e'.
      p = location_of_e;
    } else {
      while ((p != pend) && is_integer(*p)) {
        uint8_t digit = uint8_t(*p - UC('0'));
        if (exp_number < 0x10000000) {
          exp_number = 10 * exp_number + digit;
        }
        ++p;
      }
      if (neg_exp) {
        exp_number = -exp_number;
      }
      exponent += exp_number;
    }
  } else {
    // If it scientific and not fixed, we have to bail out.
    if (uint64_t(fmt & chars_format::scientific) &&
        !uint64_t(fmt & chars_format::fixed)) {
      return report_parse_error<UC>(p, parse_error::missing_exponential_part);
    }
  }
  answer.lastmatch = p;
  answer.valid = true;
 
  // If we frequently had to deal with long strings of digits,
  // we could extend our code by using a 128-bit integer instead
  // of a 64-bit integer. However, this is uncommon.
  //
  // We can deal with up to 19 digits.
  if (digit_count > 19) { // this is uncommon
    // It is possible that the integer had an overflow.
    // We have to handle the case where we have 0.0000somenumber.
    // We need to be mindful of the case where we only have zeroes...
    // E.g., 0.000000000...000.
    UC const *start = start_digits;
    while ((start != pend) && (*start == UC('0') || *start == decimal_point)) {
      if (*start == UC('0')) {
        digit_count--;
      }
      start++;
    }
 
    if (digit_count > 19) {
      answer.too_many_digits = true;
      // The truncation recompute below reads the integer/fraction spans. When
      // store_spans is false we didn't materialize them, so just flag
      // too_many_digits; the caller re-parses with store_spans=true to obtain
      // the corrected mantissa/exponent before taking the slow path.
      if (store_spans) {
        // Let us start again, this time, avoiding overflows.
        // We don't need to call if is_integer, since we use the
        // pre-tokenized spans from above.
        i = 0;
        p = answer.integer.ptr;
        UC const *int_end = p + answer.integer.len();
        uint64_t const minimal_nineteen_digit_integer{1000000000000000000};
        while ((i < minimal_nineteen_digit_integer) && (p != int_end)) {
          i = i * 10 + uint64_t(*p - UC('0'));
          ++p;
        }
        if (i >= minimal_nineteen_digit_integer) { // We have a big integer
          exponent = end_of_integer_part - p + exp_number;
        } else { // We have a value with a fractional component.
          p = answer.fraction.ptr;
          UC const *frac_end = p + answer.fraction.len();
          while ((i < minimal_nineteen_digit_integer) && (p != frac_end)) {
            i = i * 10 + uint64_t(*p - UC('0'));
            ++p;
          }
          exponent = answer.fraction.ptr - p + exp_number;
        }
        // We have now corrected both exponent and i, to a truncated value
      }
    }
  }
  answer.exponent = exponent;
  answer.mantissa = i;
  return answer;
}
 
template <typename T, typename UC>
simdjson_fastfloat_really_inline SIMDJSON_FASTFLOAT_CONSTEXPR20 from_chars_result_t<UC>
parse_int_string(UC const *p, UC const *pend, T &value,
                 parse_options_t<UC> options) {
  chars_format const fmt = detail::adjust_for_feature_macros(options.format);
  int const base = options.base;
 
  from_chars_result_t<UC> answer;
 
  UC const *const first = p;
 
  bool const negative = (*p == UC('-'));
#ifdef SIMDJSON_FASTFLOAT_VISUAL_STUDIO
#pragma warning(push)
#pragma warning(disable : 4127)
#endif
  if (!std::is_signed<T>::value && negative) {
#ifdef SIMDJSON_FASTFLOAT_VISUAL_STUDIO
#pragma warning(pop)
#endif
    answer.ec = std::errc::invalid_argument;
    answer.ptr = first;
    return answer;
  }
  if ((*p == UC('-')) ||
      (uint64_t(fmt & chars_format::allow_leading_plus) && (*p == UC('+')))) {
    ++p;
  }
 
  UC const *const start_num = p;
 
  while (p != pend && *p == UC('0')) {
    ++p;
  }
 
  bool const has_leading_zeros = p > start_num;
 
  UC const *const start_digits = p;
 
  SIMDJSON_FASTFLOAT_IF_CONSTEXPR17(
      (std::is_same<T, std::uint8_t>::value && sizeof(UC) == 1)) {
    if (base == 10) {
      const size_t len = static_cast<size_t>(pend - p);
      if (len == 0) {
        if (has_leading_zeros) {
          value = 0;
          answer.ec = std::errc();
          answer.ptr = p;
        } else {
          answer.ec = std::errc::invalid_argument;
          answer.ptr = first;
        }
        return answer;
      }
 
      uint32_t digits;
 
#if SIMDJSON_FASTFLOAT_HAS_IS_CONSTANT_EVALUATED && SIMDJSON_FASTFLOAT_HAS_BIT_CAST
      if (std::is_constant_evaluated()) {
        uint8_t str[4]{};
        for (size_t j = 0; j < 4 && j < len; ++j) {
          str[j] = static_cast<uint8_t>(p[j]);
        }
        digits = std::bit_cast<uint32_t>(str);
#if SIMDJSON_FASTFLOAT_IS_BIG_ENDIAN
        digits = byteswap_32(digits);
#endif
      }
#else
      if (false) {
      }
#endif
      else if (len >= 4) {
        ::memcpy(&digits, p, 4);
#if SIMDJSON_FASTFLOAT_IS_BIG_ENDIAN
        digits = byteswap_32(digits);
#endif
      } else {
        uint32_t b0 = static_cast<uint8_t>(p[0]);
        uint32_t b1 = (len > 1) ? static_cast<uint8_t>(p[1]) : 0xFFu;
        uint32_t b2 = (len > 2) ? static_cast<uint8_t>(p[2]) : 0xFFu;
        uint32_t b3 = 0xFFu;
        digits = b0 | (b1 << 8) | (b2 << 16) | (b3 << 24);
      }
 
      uint32_t magic =
          ((digits + 0x46464646u) | (digits - 0x30303030u)) & 0x80808080u;
      uint32_t tz =
          static_cast<uint32_t>(countr_zero_32(magic)); // 7, 15, 23, 31, or 32
      uint32_t nd = (tz == 32) ? 4 : (tz >> 3);
      nd = static_cast<uint32_t>(nd < len ? nd : len);
      if (nd == 0) {
        if (has_leading_zeros) {
          value = 0;
          answer.ec = std::errc();
          answer.ptr = p;
          return answer;
        }
        answer.ec = std::errc::invalid_argument;
        answer.ptr = first;
        return answer;
      }
      if (nd > 3) {
        const UC *q = p + nd;
        size_t rem = len - nd;
        while (rem) {
          if (*q < UC('0') || *q > UC('9'))
            break;
          ++q;
          --rem;
        }
        answer.ec = std::errc::result_out_of_range;
        answer.ptr = q;
        return answer;
      }
 
      digits ^= 0x30303030u;
      digits <<= ((4 - nd) * 8);
 
      uint32_t check = ((digits >> 24) & 0xff) | ((digits >> 8) & 0xff00) |
                       ((digits << 8) & 0xff0000);
      if (check > 0x00020505) {
        answer.ec = std::errc::result_out_of_range;
        answer.ptr = p + nd;
        return answer;
      }
      value = static_cast<uint8_t>((0x640a01 * digits) >> 24);
      answer.ec = std::errc();
      answer.ptr = p + nd;
      return answer;
    }
  }
 
  SIMDJSON_FASTFLOAT_IF_CONSTEXPR17(
      (std::is_same<T, std::uint16_t>::value && sizeof(UC) == 1)) {
    if (base == 10) {
      const size_t len = size_t(pend - p);
      if (len == 0) {
        if (has_leading_zeros) {
          value = 0;
          answer.ec = std::errc();
          answer.ptr = p;
        } else {
          answer.ec = std::errc::invalid_argument;
          answer.ptr = first;
        }
        return answer;
      }
 
      if (len >= 4) {
        uint32_t digits = read4_to_u32(p);
        if (is_made_of_four_digits_fast(digits)) {
          uint32_t v = parse_four_digits_unrolled(digits);
          if (len >= 5 && is_integer(p[4])) {
            v = v * 10 + uint32_t(p[4] - '0');
            if (len >= 6 && is_integer(p[5])) {
              answer.ec = std::errc::result_out_of_range;
              const UC *q = p + 5;
              while (q != pend && is_integer(*q)) {
                q++;
              }
              answer.ptr = q;
              return answer;
            }
            if (v > 65535) {
              answer.ec = std::errc::result_out_of_range;
              answer.ptr = p + 5;
              return answer;
            }
            value = uint16_t(v);
            answer.ec = std::errc();
            answer.ptr = p + 5;
            return answer;
          }
          // 4 digits
          value = uint16_t(v);
          answer.ec = std::errc();
          answer.ptr = p + 4;
          return answer;
        }
      }
    }
  }
 
  uint64_t i = 0;
  if (base == 10) {
    loop_parse_if_eight_digits(p, pend, i); // use SIMD if possible
  }
  while (p != pend) {
    uint8_t digit = ch_to_digit(*p);
    if (digit >= base) {
      break;
    }
    i = uint64_t(base) * i + digit; // might overflow, check this later
    p++;
  }
 
  size_t digit_count = size_t(p - start_digits);
 
  if (digit_count == 0) {
    if (has_leading_zeros) {
      value = 0;
      answer.ec = std::errc();
      answer.ptr = p;
    } else {
      answer.ec = std::errc::invalid_argument;
      answer.ptr = first;
    }
    return answer;
  }
 
  answer.ptr = p;
 
  // check u64 overflow
  size_t max_digits = max_digits_u64(base);
  if (digit_count > max_digits) {
    answer.ec = std::errc::result_out_of_range;
    return answer;
  }
  // this check can be eliminated for all other types, but they will all require
  // a max_digits(base) equivalent
  if (digit_count == max_digits) {
    // At the max_digits boundary the accumulator `i` may have wrapped around
    // 2^64. A plain `i < min_safe_u64(base)` test is not sufficient: for any
    // base whose max_digits-length range exceeds 2^64 (base 10 reaches
    // ~5.4 * 2^64 at 20 digits) the value can wrap a whole multiple of 2^64 and
    // land back above min_safe, slipping through. Decide exactly in O(1) using
    // the leading digit, following the approach used in simdjson:
    //   ms   == min_safe_u64(base) == base^(max_digits-1), the smallest
    //           max_digits-length value.
    //   dmax == the largest leading digit whose number can still fit in u64.
    // The leading-digit band [d*ms, (d+1)*ms) has width ms < 2^64, so within
    // the single band where d == dmax the value straddles 2^64 at most once,
    // and a single threshold separates wrapped from non-wrapped values. A
    // leading digit above dmax always overflows; below dmax always fits.
    uint64_t const ms = min_safe_u64(base);
    uint64_t const dmax = (std::numeric_limits<uint64_t>::max)() / ms;
    uint64_t const lead = ch_to_digit(*start_digits);
    if (lead > dmax || (lead == dmax && i < dmax * ms)) {
      answer.ec = std::errc::result_out_of_range;
      return answer;
    }
  }
 
  // check other types overflow
  if (!std::is_same<T, uint64_t>::value) {
    if (i > uint64_t((std::numeric_limits<T>::max)()) + uint64_t(negative)) {
      answer.ec = std::errc::result_out_of_range;
      return answer;
    }
  }
 
  if (negative) {
#ifdef SIMDJSON_FASTFLOAT_VISUAL_STUDIO
#pragma warning(push)
#pragma warning(disable : 4146)
#endif
    // this weird workaround is required because:
    // - converting unsigned to signed when its value is greater than signed max
    // is UB pre-C++23.
    // - reinterpret_casting (~i + 1) would work, but it is not constexpr
    // this is always optimized into a neg instruction (note: T is an integer
    // type)
    value = T(-(std::numeric_limits<T>::max)() -
              T(i - uint64_t((std::numeric_limits<T>::max)())));
#ifdef SIMDJSON_FASTFLOAT_VISUAL_STUDIO
#pragma warning(pop)
#endif
  } else {
    value = T(i);
  }
 
  answer.ec = std::errc();
  return answer;
}
 
} // namespace simdjson_fast_float
 
#endif
 
#ifndef SIMDJSON_FASTFLOAT_FAST_TABLE_H
#define SIMDJSON_FASTFLOAT_FAST_TABLE_H
 
#include <cstdint>
 
namespace simdjson_fast_float {
 
template <class unused = void> struct powers_template {
 
  constexpr static int smallest_power_of_five =
      binary_format<double>::smallest_power_of_ten();
  constexpr static int largest_power_of_five =
      binary_format<double>::largest_power_of_ten();
  constexpr static int number_of_entries =
      2 * (largest_power_of_five - smallest_power_of_five + 1);
  // Powers of five from 5^-342 all the way to 5^308 rounded toward one.
  constexpr static uint64_t power_of_five_128[number_of_entries] = {
      0xeef453d6923bd65a, 0x113faa2906a13b3f,
      0x9558b4661b6565f8, 0x4ac7ca59a424c507,
      0xbaaee17fa23ebf76, 0x5d79bcf00d2df649,
      0xe95a99df8ace6f53, 0xf4d82c2c107973dc,
      0x91d8a02bb6c10594, 0x79071b9b8a4be869,
      0xb64ec836a47146f9, 0x9748e2826cdee284,
      0xe3e27a444d8d98b7, 0xfd1b1b2308169b25,
      0x8e6d8c6ab0787f72, 0xfe30f0f5e50e20f7,
      0xb208ef855c969f4f, 0xbdbd2d335e51a935,
      0xde8b2b66b3bc4723, 0xad2c788035e61382,
      0x8b16fb203055ac76, 0x4c3bcb5021afcc31,
      0xaddcb9e83c6b1793, 0xdf4abe242a1bbf3d,
      0xd953e8624b85dd78, 0xd71d6dad34a2af0d,
      0x87d4713d6f33aa6b, 0x8672648c40e5ad68,
      0xa9c98d8ccb009506, 0x680efdaf511f18c2,
      0xd43bf0effdc0ba48, 0x212bd1b2566def2,
      0x84a57695fe98746d, 0x14bb630f7604b57,
      0xa5ced43b7e3e9188, 0x419ea3bd35385e2d,
      0xcf42894a5dce35ea, 0x52064cac828675b9,
      0x818995ce7aa0e1b2, 0x7343efebd1940993,
      0xa1ebfb4219491a1f, 0x1014ebe6c5f90bf8,
      0xca66fa129f9b60a6, 0xd41a26e077774ef6,
      0xfd00b897478238d0, 0x8920b098955522b4,
      0x9e20735e8cb16382, 0x55b46e5f5d5535b0,
      0xc5a890362fddbc62, 0xeb2189f734aa831d,
      0xf712b443bbd52b7b, 0xa5e9ec7501d523e4,
      0x9a6bb0aa55653b2d, 0x47b233c92125366e,
      0xc1069cd4eabe89f8, 0x999ec0bb696e840a,
      0xf148440a256e2c76, 0xc00670ea43ca250d,
      0x96cd2a865764dbca, 0x380406926a5e5728,
      0xbc807527ed3e12bc, 0xc605083704f5ecf2,
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      0xec1e4a7db69561a5, 0x2b31e9e3d06c32e6,
      0x9392ee8e921d5d07, 0x3aff322e62439fd0,
      0xb877aa3236a4b449, 0x9befeb9fad487c3,
      0xe69594bec44de15b, 0x4c2ebe687989a9b4,
      0x901d7cf73ab0acd9, 0xf9d37014bf60a11,
      0xb424dc35095cd80f, 0x538484c19ef38c95,
      0xe12e13424bb40e13, 0x2865a5f206b06fba,
      0x8cbccc096f5088cb, 0xf93f87b7442e45d4,
      0xafebff0bcb24aafe, 0xf78f69a51539d749,
      0xdbe6fecebdedd5be, 0xb573440e5a884d1c,
      0x89705f4136b4a597, 0x31680a88f8953031,
      0xabcc77118461cefc, 0xfdc20d2b36ba7c3e,
      0xd6bf94d5e57a42bc, 0x3d32907604691b4d,
      0x8637bd05af6c69b5, 0xa63f9a49c2c1b110,
      0xa7c5ac471b478423, 0xfcf80dc33721d54,
      0xd1b71758e219652b, 0xd3c36113404ea4a9,
      0x83126e978d4fdf3b, 0x645a1cac083126ea,
      0xa3d70a3d70a3d70a, 0x3d70a3d70a3d70a4,
      0xcccccccccccccccc, 0xcccccccccccccccd,
      0x8000000000000000, 0x0,
      0xa000000000000000, 0x0,
      0xc800000000000000, 0x0,
      0xfa00000000000000, 0x0,
      0x9c40000000000000, 0x0,
      0xc350000000000000, 0x0,
      0xf424000000000000, 0x0,
      0x9896800000000000, 0x0,
      0xbebc200000000000, 0x0,
      0xee6b280000000000, 0x0,
      0x9502f90000000000, 0x0,
      0xba43b74000000000, 0x0,
      0xe8d4a51000000000, 0x0,
      0x9184e72a00000000, 0x0,
      0xb5e620f480000000, 0x0,
      0xe35fa931a0000000, 0x0,
      0x8e1bc9bf04000000, 0x0,
      0xb1a2bc2ec5000000, 0x0,
      0xde0b6b3a76400000, 0x0,
      0x8ac7230489e80000, 0x0,
      0xad78ebc5ac620000, 0x0,
      0xd8d726b7177a8000, 0x0,
      0x878678326eac9000, 0x0,
      0xa968163f0a57b400, 0x0,
      0xd3c21bcecceda100, 0x0,
      0x84595161401484a0, 0x0,
      0xa56fa5b99019a5c8, 0x0,
      0xcecb8f27f4200f3a, 0x0,
      0x813f3978f8940984, 0x4000000000000000,
      0xa18f07d736b90be5, 0x5000000000000000,
      0xc9f2c9cd04674ede, 0xa400000000000000,
      0xfc6f7c4045812296, 0x4d00000000000000,
      0x9dc5ada82b70b59d, 0xf020000000000000,
      0xc5371912364ce305, 0x6c28000000000000,
      0xf684df56c3e01bc6, 0xc732000000000000,
      0x9a130b963a6c115c, 0x3c7f400000000000,
      0xc097ce7bc90715b3, 0x4b9f100000000000,
      0xf0bdc21abb48db20, 0x1e86d40000000000,
      0x96769950b50d88f4, 0x1314448000000000,
      0xbc143fa4e250eb31, 0x17d955a000000000,
      0xeb194f8e1ae525fd, 0x5dcfab0800000000,
      0x92efd1b8d0cf37be, 0x5aa1cae500000000,
      0xb7abc627050305ad, 0xf14a3d9e40000000,
      0xe596b7b0c643c719, 0x6d9ccd05d0000000,
      0x8f7e32ce7bea5c6f, 0xe4820023a2000000,
      0xb35dbf821ae4f38b, 0xdda2802c8a800000,
      0xe0352f62a19e306e, 0xd50b2037ad200000,
      0x8c213d9da502de45, 0x4526f422cc340000,
      0xaf298d050e4395d6, 0x9670b12b7f410000,
      0xdaf3f04651d47b4c, 0x3c0cdd765f114000,
      0x88d8762bf324cd0f, 0xa5880a69fb6ac800,
      0xab0e93b6efee0053, 0x8eea0d047a457a00,
      0xd5d238a4abe98068, 0x72a4904598d6d880,
      0x85a36366eb71f041, 0x47a6da2b7f864750,
      0xa70c3c40a64e6c51, 0x999090b65f67d924,
      0xd0cf4b50cfe20765, 0xfff4b4e3f741cf6d,
      0x82818f1281ed449f, 0xbff8f10e7a8921a4,
      0xa321f2d7226895c7, 0xaff72d52192b6a0d,
      0xcbea6f8ceb02bb39, 0x9bf4f8a69f764490,
      0xfee50b7025c36a08, 0x2f236d04753d5b4,
      0x9f4f2726179a2245, 0x1d762422c946590,
      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, 0x3bc3a19cd1e38e9,
      0xfb5878494ace3a5f, 0x4ab48a04065c723,
      0x9d174b2dcec0e47b, 0x62eb0d64283f9c76,
      0xc45d1df942711d9a, 0x3ba5d0bd324f8394,
      0xf5746577930d6500, 0xca8f44ec7ee36479,
      0x9968bf6abbe85f20, 0x7e998b13cf4e1ecb,
      0xbfc2ef456ae276e8, 0x9e3fedd8c321a67e,
      0xefb3ab16c59b14a2, 0xc5cfe94ef3ea101e,
      0x95d04aee3b80ece5, 0xbba1f1d158724a12,
      0xbb445da9ca61281f, 0x2a8a6e45ae8edc97,
      0xea1575143cf97226, 0xf52d09d71a3293bd,
      0x924d692ca61be758, 0x593c2626705f9c56,
      0xb6e0c377cfa2e12e, 0x6f8b2fb00c77836c,
      0xe498f455c38b997a, 0xb6dfb9c0f956447,
      0x8edf98b59a373fec, 0x4724bd4189bd5eac,
      0xb2977ee300c50fe7, 0x58edec91ec2cb657,
      0xdf3d5e9bc0f653e1, 0x2f2967b66737e3ed,
      0x8b865b215899f46c, 0xbd79e0d20082ee74,
      0xae67f1e9aec07187, 0xecd8590680a3aa11,
      0xda01ee641a708de9, 0xe80e6f4820cc9495,
      0x884134fe908658b2, 0x3109058d147fdcdd,
      0xaa51823e34a7eede, 0xbd4b46f0599fd415,
      0xd4e5e2cdc1d1ea96, 0x6c9e18ac7007c91a,
      0x850fadc09923329e, 0x3e2cf6bc604ddb0,
      0xa6539930bf6bff45, 0x84db8346b786151c,
      0xcfe87f7cef46ff16, 0xe612641865679a63,
      0x81f14fae158c5f6e, 0x4fcb7e8f3f60c07e,
      0xa26da3999aef7749, 0xe3be5e330f38f09d,
      0xcb090c8001ab551c, 0x5cadf5bfd3072cc5,
      0xfdcb4fa002162a63, 0x73d9732fc7c8f7f6,
      0x9e9f11c4014dda7e, 0x2867e7fddcdd9afa,
      0xc646d63501a1511d, 0xb281e1fd541501b8,
      0xf7d88bc24209a565, 0x1f225a7ca91a4226,
      0x9ae757596946075f, 0x3375788de9b06958,
      0xc1a12d2fc3978937, 0x52d6b1641c83ae,
      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, 0x487db9d17636892,
      0xd6f8d7509292d603, 0x45a9d2845d3c42b6,
      0x865b86925b9bc5c2, 0xb8a2392ba45a9b2,
      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, 0x88aaa1845b8fdd0,
      0xf6c69a72a3989f5b, 0x8aad549e57273d45,
      0x9a3c2087a63f6399, 0x36ac54e2f678864b,
      0xc0cb28a98fcf3c7f, 0x84576a1bb416a7dd,
      0xf0fdf2d3f3c30b9f, 0x656d44a2a11c51d5,
      0x969eb7c47859e743, 0x9f644ae5a4b1b325,
      0xbc4665b596706114, 0x873d5d9f0dde1fee,
      0xeb57ff22fc0c7959, 0xa90cb506d155a7ea,
      0x9316ff75dd87cbd8, 0x9a7f12442d588f2,
      0xb7dcbf5354e9bece, 0xc11ed6d538aeb2f,
      0xe5d3ef282a242e81, 0x8f1668c8a86da5fa,
      0x8fa475791a569d10, 0xf96e017d694487bc,
      0xb38d92d760ec4455, 0x37c981dcc395a9ac,
      0xe070f78d3927556a, 0x85bbe253f47b1417,
      0x8c469ab843b89562, 0x93956d7478ccec8e,
      0xaf58416654a6babb, 0x387ac8d1970027b2,
      0xdb2e51bfe9d0696a, 0x6997b05fcc0319e,
      0x88fcf317f22241e2, 0x441fece3bdf81f03,
      0xab3c2fddeeaad25a, 0xd527e81cad7626c3,
      0xd60b3bd56a5586f1, 0x8a71e223d8d3b074,
      0x85c7056562757456, 0xf6872d5667844e49,
      0xa738c6bebb12d16c, 0xb428f8ac016561db,
      0xd106f86e69d785c7, 0xe13336d701beba52,
      0x82a45b450226b39c, 0xecc0024661173473,
      0xa34d721642b06084, 0x27f002d7f95d0190,
      0xcc20ce9bd35c78a5, 0x31ec038df7b441f4,
      0xff290242c83396ce, 0x7e67047175a15271,
      0x9f79a169bd203e41, 0xf0062c6e984d386,
      0xc75809c42c684dd1, 0x52c07b78a3e60868,
      0xf92e0c3537826145, 0xa7709a56ccdf8a82,
      0x9bbcc7a142b17ccb, 0x88a66076400bb691,
      0xc2abf989935ddbfe, 0x6acff893d00ea435,
      0xf356f7ebf83552fe, 0x583f6b8c4124d43,
      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, 0xfabaf3feaa5334a,
      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, 0xcc512670a783ad4,
      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, 0xa862f80ec4700c8,
      0xf4a642e14c6262c8, 0xcd27bb612758c0fa,
      0x98e7e9cccfbd7dbd, 0x8038d51cb897789c,
      0xbf21e44003acdd2c, 0xe0470a63e6bd56c3,
      0xeeea5d5004981478, 0x1858ccfce06cac74,
      0x95527a5202df0ccb, 0xf37801e0c43ebc8,
      0xbaa718e68396cffd, 0xd30560258f54e6ba,
      0xe950df20247c83fd, 0x47c6b82ef32a2069,
      0x91d28b7416cdd27e, 0x4cdc331d57fa5441,
      0xb6472e511c81471d, 0xe0133fe4adf8e952,
      0xe3d8f9e563a198e5, 0x58180fddd97723a6,
      0x8e679c2f5e44ff8f, 0x570f09eaa7ea7648,
  };
};
 
#if SIMDJSON_FASTFLOAT_DETAIL_MUST_DEFINE_CONSTEXPR_VARIABLE
 
template <class unused>
constexpr uint64_t
    powers_template<unused>::power_of_five_128[number_of_entries];
 
#endif
 
using powers = powers_template<>;
 
} // namespace simdjson_fast_float
 
#endif
 
#ifndef SIMDJSON_FASTFLOAT_DECIMAL_TO_BINARY_H
#define SIMDJSON_FASTFLOAT_DECIMAL_TO_BINARY_H
 
#include <cfloat>
#include <cinttypes>
#include <cmath>
#include <cstdint>
#include <cstdlib>
#include <cstring>
 
namespace simdjson_fast_float {
 
// This will compute or rather approximate w * 5**q and return a pair of 64-bit
// words approximating the result, with the "high" part corresponding to the
// most significant bits and the low part corresponding to the least significant
// bits.
//
template <int bit_precision>
simdjson_fastfloat_really_inline SIMDJSON_FASTFLOAT_CONSTEXPR20 value128
compute_product_approximation(int64_t q, uint64_t w) {
  int const index = 2 * int(q - powers::smallest_power_of_five);
  // For small values of q, e.g., q in [0,27], the answer is always exact
  // because The line value128 firstproduct = full_multiplication(w,
  // power_of_five_128[index]); gives the exact answer.
  value128 firstproduct =
      full_multiplication(w, powers::power_of_five_128[index]);
  static_assert((bit_precision >= 0) && (bit_precision <= 64),
                " precision should  be in (0,64]");
  constexpr uint64_t precision_mask =
      (bit_precision < 64) ? (uint64_t(0xFFFFFFFFFFFFFFFF) >> bit_precision)
                           : uint64_t(0xFFFFFFFFFFFFFFFF);
  if ((firstproduct.high & precision_mask) ==
      precision_mask) { // could further guard with  (lower + w < lower)
    // regarding the second product, we only need secondproduct.high, but our
    // expectation is that the compiler will optimize this extra work away if
    // needed.
    value128 secondproduct =
        full_multiplication(w, powers::power_of_five_128[index + 1]);
    firstproduct.low += secondproduct.high;
    if (secondproduct.high > firstproduct.low) {
      firstproduct.high++;
    }
  }
  return firstproduct;
}
 
namespace detail {
constexpr simdjson_fastfloat_really_inline int32_t power(int32_t q) noexcept {
  return (((152170 + 65536) * q) >> 16) + 63;
}
} // namespace detail
 
// create an adjusted mantissa, biased by the invalid power2
// for significant digits already multiplied by 10 ** q.
template <typename binary>
simdjson_fastfloat_really_inline SIMDJSON_FASTFLOAT_CONSTEXPR14 adjusted_mantissa
compute_error_scaled(int64_t q, uint64_t w, int lz) noexcept {
  int hilz = int(w >> 63) ^ 1;
  adjusted_mantissa answer;
  answer.mantissa = w << hilz;
  int bias = binary::mantissa_explicit_bits() - binary::minimum_exponent();
  answer.power2 = int32_t(detail::power(int32_t(q)) + bias - hilz - lz - 62 +
                          invalid_am_bias);
  return answer;
}
 
// w * 10 ** q, without rounding the representation up.
// the power2 in the exponent will be adjusted by invalid_am_bias.
template <typename binary>
simdjson_fastfloat_really_inline SIMDJSON_FASTFLOAT_CONSTEXPR20 adjusted_mantissa
compute_error(int64_t q, uint64_t w) noexcept {
  int lz = leading_zeroes(w);
  w <<= lz;
  value128 product =
      compute_product_approximation<binary::mantissa_explicit_bits() + 3>(q, w);
  return compute_error_scaled<binary>(q, product.high, lz);
}
 
// Computers w * 10 ** q.
// The returned value should be a valid number that simply needs to be
// packed. However, in some very rare cases, the computation will fail. In such
// cases, we return an adjusted_mantissa with a negative power of 2: the caller
// should recompute in such cases.
template <typename binary>
simdjson_fastfloat_really_inline SIMDJSON_FASTFLOAT_CONSTEXPR20 adjusted_mantissa
compute_float(int64_t q, uint64_t w) noexcept {
  adjusted_mantissa answer;
  if ((w == 0) || (q < binary::smallest_power_of_ten())) {
    answer.power2 = 0;
    answer.mantissa = 0;
    // result should be zero
    return answer;
  }
  if (q > binary::largest_power_of_ten()) {
    // we want to get infinity:
    answer.power2 = binary::infinite_power();
    answer.mantissa = 0;
    return answer;
  }
  // At this point in time q is in [powers::smallest_power_of_five,
  // powers::largest_power_of_five].
 
  // We want the most significant bit of i to be 1. Shift if needed.
  int lz = leading_zeroes(w);
  w <<= lz;
 
  // The required precision is binary::mantissa_explicit_bits() + 3 because
  // 1. We need the implicit bit
  // 2. We need an extra bit for rounding purposes
  // 3. We might lose a bit due to the "upperbit" routine (result too small,
  // requiring a shift)
 
  value128 product =
      compute_product_approximation<binary::mantissa_explicit_bits() + 3>(q, w);
  // The computed 'product' is always sufficient.
  // Mathematical proof:
  // Noble Mushtak and Daniel Lemire, Fast Number Parsing Without Fallback (to
  // appear) See script/mushtak_lemire.py
 
  // The "compute_product_approximation" function can be slightly slower than a
  // branchless approach: value128 product = compute_product(q, w); but in
  // practice, we can win big with the compute_product_approximation if its
  // additional branch is easily predicted. Which is best is data specific.
  int upperbit = int(product.high >> 63);
  int shift = upperbit + 64 - binary::mantissa_explicit_bits() - 3;
 
  answer.mantissa = product.high >> shift;
 
  answer.power2 = int32_t(detail::power(int32_t(q)) + upperbit - lz -
                          binary::minimum_exponent());
  if (answer.power2 <= 0) { // we have a subnormal?
    // Here have that answer.power2 <= 0 so -answer.power2 >= 0
    if (-answer.power2 + 1 >=
        64) { // if we have more than 64 bits below the minimum exponent, you
              // have a zero for sure.
      answer.power2 = 0;
      answer.mantissa = 0;
      // result should be zero
      return answer;
    }
    // next line is safe because -answer.power2 + 1 < 64
    answer.mantissa >>= -answer.power2 + 1;
    // Thankfully, we can't have both "round-to-even" and subnormals because
    // "round-to-even" only occurs for powers close to 0 in the 32-bit and
    // and 64-bit case (with no more than 19 digits).
    answer.mantissa += (answer.mantissa & 1); // round up
    answer.mantissa >>= 1;
    // There is a weird scenario where we don't have a subnormal but just.
    // Suppose we start with 2.2250738585072013e-308, we end up
    // with 0x3fffffffffffff x 2^-1023-53 which is technically subnormal
    // whereas 0x40000000000000 x 2^-1023-53  is normal. Now, we need to round
    // up 0x3fffffffffffff x 2^-1023-53  and once we do, we are no longer
    // subnormal, but we can only know this after rounding.
    // So we only declare a subnormal if we are smaller than the threshold.
    answer.power2 =
        (answer.mantissa < (uint64_t(1) << binary::mantissa_explicit_bits()))
            ? 0
            : 1;
    return answer;
  }
 
  // usually, we round *up*, but if we fall right in between and and we have an
  // even basis, we need to round down
  // We are only concerned with the cases where 5**q fits in single 64-bit word.
  if ((product.low <= 1) && (q >= binary::min_exponent_round_to_even()) &&
      (q <= binary::max_exponent_round_to_even()) &&
      ((answer.mantissa & 3) == 1)) { // we may fall between two floats!
    // To be in-between two floats we need that in doing
    //   answer.mantissa = product.high >> (upperbit + 64 -
    //   binary::mantissa_explicit_bits() - 3);
    // ... we dropped out only zeroes. But if this happened, then we can go
    // back!!!
    if ((answer.mantissa << shift) == product.high) {
      answer.mantissa &= ~uint64_t(1); // flip it so that we do not round up
    }
  }
 
  answer.mantissa += (answer.mantissa & 1); // round up
  answer.mantissa >>= 1;
  if (answer.mantissa >= (uint64_t(2) << binary::mantissa_explicit_bits())) {
    answer.mantissa = (uint64_t(1) << binary::mantissa_explicit_bits());
    answer.power2++; // undo previous addition
  }
 
  answer.mantissa &= ~(uint64_t(1) << binary::mantissa_explicit_bits());
  if (answer.power2 >= binary::infinite_power()) { // infinity
    answer.power2 = binary::infinite_power();
    answer.mantissa = 0;
  }
  return answer;
}
 
} // namespace simdjson_fast_float
 
#endif
 
#ifndef SIMDJSON_FASTFLOAT_BIGINT_H
#define SIMDJSON_FASTFLOAT_BIGINT_H
 
#include <algorithm>
#include <cstdint>
#include <climits>
#include <cstring>
 
 
namespace simdjson_fast_float {
 
// the limb width: we want efficient multiplication of double the bits in
// limb, or for 64-bit limbs, at least 64-bit multiplication where we can
// extract the high and low parts efficiently. this is every 64-bit
// architecture except for sparc, which emulates 128-bit multiplication.
// we might have platforms where `CHAR_BIT` is not 8, so let's avoid
// doing `8 * sizeof(limb)`.
#if defined(SIMDJSON_FASTFLOAT_64BIT) && !defined(__sparc)
#define SIMDJSON_FASTFLOAT_64BIT_LIMB 1
typedef uint64_t limb;
constexpr size_t limb_bits = 64;
#else
#define SIMDJSON_FASTFLOAT_32BIT_LIMB
typedef uint32_t limb;
constexpr size_t limb_bits = 32;
#endif
 
typedef span<limb> limb_span;
 
// number of bits in a bigint. this needs to be at least the number
// of bits required to store the largest bigint, which is
// `log2(10**(digits + max_exp))`, or `log2(10**(767 + 342))`, or
// ~3600 bits, so we round to 4000.
constexpr size_t bigint_bits = 4000;
constexpr size_t bigint_limbs = bigint_bits / limb_bits;
 
// vector-like type that is allocated on the stack. the entire
// buffer is pre-allocated, and only the length changes.
template <uint16_t size> struct stackvec {
  limb data[size];
  // we never need more than 150 limbs
  uint16_t length{0};
 
  stackvec() = default;
  stackvec(stackvec const &) = delete;
  stackvec &operator=(stackvec const &) = delete;
  stackvec(stackvec &&) = delete;
  stackvec &operator=(stackvec &&other) = delete;
 
  // create stack vector from existing limb span.
  SIMDJSON_FASTFLOAT_CONSTEXPR20 stackvec(limb_span s) {
    SIMDJSON_FASTFLOAT_ASSERT(try_extend(s));
  }
 
  SIMDJSON_FASTFLOAT_CONSTEXPR14 limb &operator[](size_t index) noexcept {
    SIMDJSON_FASTFLOAT_DEBUG_ASSERT(index < length);
    return data[index];
  }
 
  SIMDJSON_FASTFLOAT_CONSTEXPR14 const limb &operator[](size_t index) const noexcept {
    SIMDJSON_FASTFLOAT_DEBUG_ASSERT(index < length);
    return data[index];
  }
 
  // index from the end of the container
  SIMDJSON_FASTFLOAT_CONSTEXPR14 const limb &rindex(size_t index) const noexcept {
    SIMDJSON_FASTFLOAT_DEBUG_ASSERT(index < length);
    size_t rindex = length - index - 1;
    return data[rindex];
  }
 
  // set the length, without bounds checking.
  SIMDJSON_FASTFLOAT_CONSTEXPR14 void set_len(size_t len) noexcept {
    length = uint16_t(len);
  }
 
  constexpr size_t len() const noexcept { return length; }
 
  constexpr bool is_empty() const noexcept { return length == 0; }
 
  constexpr size_t capacity() const noexcept { return size; }
 
  // append item to vector, without bounds checking
  SIMDJSON_FASTFLOAT_CONSTEXPR14 void push_unchecked(limb value) noexcept {
    data[length] = value;
    length++;
  }
 
  // append item to vector, returning if item was added
  SIMDJSON_FASTFLOAT_CONSTEXPR14 bool try_push(limb value) noexcept {
    if (len() < capacity()) {
      push_unchecked(value);
      return true;
    } else {
      return false;
    }
  }
 
  // add items to the vector, from a span, without bounds checking
  SIMDJSON_FASTFLOAT_CONSTEXPR20 void extend_unchecked(limb_span s) noexcept {
    limb *ptr = data + length;
    std::copy_n(s.ptr, s.len(), ptr);
    set_len(len() + s.len());
  }
 
  // try to add items to the vector, returning if items were added
  SIMDJSON_FASTFLOAT_CONSTEXPR20 bool try_extend(limb_span s) noexcept {
    if (len() + s.len() <= capacity()) {
      extend_unchecked(s);
      return true;
    } else {
      return false;
    }
  }
 
  // resize the vector, without bounds checking
  // if the new size is longer than the vector, assign value to each
  // appended item.
  SIMDJSON_FASTFLOAT_CONSTEXPR20
  void resize_unchecked(size_t new_len, limb value) noexcept {
    if (new_len > len()) {
      size_t count = new_len - len();
      limb *first = data + len();
      limb *last = first + count;
      ::std::fill(first, last, value);
      set_len(new_len);
    } else {
      set_len(new_len);
    }
  }
 
  // try to resize the vector, returning if the vector was resized.
  SIMDJSON_FASTFLOAT_CONSTEXPR20 bool try_resize(size_t new_len, limb value) noexcept {
    if (new_len > capacity()) {
      return false;
    } else {
      resize_unchecked(new_len, value);
      return true;
    }
  }
 
  // check if any limbs are non-zero after the given index.
  // this needs to be done in reverse order, since the index
  // is relative to the most significant limbs.
  SIMDJSON_FASTFLOAT_CONSTEXPR14 bool nonzero(size_t index) const noexcept {
    while (index < len()) {
      if (rindex(index) != 0) {
        return true;
      }
      index++;
    }
    return false;
  }
 
  // normalize the big integer, so most-significant zero limbs are removed.
  SIMDJSON_FASTFLOAT_CONSTEXPR14 void normalize() noexcept {
    while (len() > 0 && rindex(0) == 0) {
      length--;
    }
  }
};
 
simdjson_fastfloat_really_inline SIMDJSON_FASTFLOAT_CONSTEXPR14 uint64_t
empty_hi64(bool &truncated) noexcept {
  truncated = false;
  return 0;
}
 
simdjson_fastfloat_really_inline SIMDJSON_FASTFLOAT_CONSTEXPR20 uint64_t
uint64_hi64(uint64_t r0, bool &truncated) noexcept {
  truncated = false;
  int shl = leading_zeroes(r0);
  return r0 << shl;
}
 
simdjson_fastfloat_really_inline SIMDJSON_FASTFLOAT_CONSTEXPR20 uint64_t
uint64_hi64(uint64_t r0, uint64_t r1, bool &truncated) noexcept {
  int shl = leading_zeroes(r0);
  if (shl == 0) {
    truncated = r1 != 0;
    return r0;
  } else {
    int shr = 64 - shl;
    truncated = (r1 << shl) != 0;
    return (r0 << shl) | (r1 >> shr);
  }
}
 
simdjson_fastfloat_really_inline SIMDJSON_FASTFLOAT_CONSTEXPR20 uint64_t
uint32_hi64(uint32_t r0, bool &truncated) noexcept {
  return uint64_hi64(r0, truncated);
}
 
simdjson_fastfloat_really_inline SIMDJSON_FASTFLOAT_CONSTEXPR20 uint64_t
uint32_hi64(uint32_t r0, uint32_t r1, bool &truncated) noexcept {
  uint64_t x0 = r0;
  uint64_t x1 = r1;
  return uint64_hi64((x0 << 32) | x1, truncated);
}
 
simdjson_fastfloat_really_inline SIMDJSON_FASTFLOAT_CONSTEXPR20 uint64_t
uint32_hi64(uint32_t r0, uint32_t r1, uint32_t r2, bool &truncated) noexcept {
  uint64_t x0 = r0;
  uint64_t x1 = r1;
  uint64_t x2 = r2;
  return uint64_hi64(x0, (x1 << 32) | x2, truncated);
}
 
// add two small integers, checking for overflow.
// we want an efficient operation. for msvc, where
// we don't have built-in intrinsics, this is still
// pretty fast.
simdjson_fastfloat_really_inline SIMDJSON_FASTFLOAT_CONSTEXPR20 limb
scalar_add(limb x, limb y, bool &overflow) noexcept {
  limb z;
// gcc and clang
#if defined(__has_builtin)
#if __has_builtin(__builtin_add_overflow)
  if (!cpp20_and_in_constexpr()) {
    overflow = __builtin_add_overflow(x, y, &z);
    return z;
  }
#endif
#endif
 
  // generic, this still optimizes correctly on MSVC.
  z = x + y;
  overflow = z < x;
  return z;
}
 
// multiply two small integers, getting both the high and low bits.
simdjson_fastfloat_really_inline SIMDJSON_FASTFLOAT_CONSTEXPR20 limb
scalar_mul(limb x, limb y, limb &carry) noexcept {
#ifdef SIMDJSON_FASTFLOAT_64BIT_LIMB
#if defined(__SIZEOF_INT128__)
  // GCC and clang both define it as an extension.
  __uint128_t z = __uint128_t(x) * __uint128_t(y) + __uint128_t(carry);
  carry = limb(z >> limb_bits);
  return limb(z);
#else
  // fallback, no native 128-bit integer multiplication with carry.
  // on msvc, this optimizes identically, somehow.
  value128 z = full_multiplication(x, y);
  bool overflow;
  z.low = scalar_add(z.low, carry, overflow);
  z.high += uint64_t(overflow); // cannot overflow
  carry = z.high;
  return z.low;
#endif
#else
  uint64_t z = uint64_t(x) * uint64_t(y) + uint64_t(carry);
  carry = limb(z >> limb_bits);
  return limb(z);
#endif
}
 
// add scalar value to bigint starting from offset.
// used in grade school multiplication
template <uint16_t size>
inline SIMDJSON_FASTFLOAT_CONSTEXPR20 bool small_add_from(stackvec<size> &vec, limb y,
                                                 size_t start) noexcept {
  size_t index = start;
  limb carry = y;
  bool overflow;
  while (carry != 0 && index < vec.len()) {
    vec[index] = scalar_add(vec[index], carry, overflow);
    carry = limb(overflow);
    index += 1;
  }
  if (carry != 0) {
    SIMDJSON_FASTFLOAT_TRY(vec.try_push(carry));
  }
  return true;
}
 
// add scalar value to bigint.
template <uint16_t size>
simdjson_fastfloat_really_inline SIMDJSON_FASTFLOAT_CONSTEXPR20 bool
small_add(stackvec<size> &vec, limb y) noexcept {
  return small_add_from(vec, y, 0);
}
 
// multiply bigint by scalar value.
template <uint16_t size>
inline SIMDJSON_FASTFLOAT_CONSTEXPR20 bool small_mul(stackvec<size> &vec,
                                            limb y) noexcept {
  limb carry = 0;
  for (size_t index = 0; index < vec.len(); index++) {
    vec[index] = scalar_mul(vec[index], y, carry);
  }
  if (carry != 0) {
    SIMDJSON_FASTFLOAT_TRY(vec.try_push(carry));
  }
  return true;
}
 
// add bigint to bigint starting from index.
// used in grade school multiplication
template <uint16_t size>
SIMDJSON_FASTFLOAT_CONSTEXPR20 bool large_add_from(stackvec<size> &x, limb_span y,
                                          size_t start) noexcept {
  // the effective x buffer is from `xstart..x.len()`, so exit early
  // if we can't get that current range.
  if (x.len() < start || y.len() > x.len() - start) {
    SIMDJSON_FASTFLOAT_TRY(x.try_resize(y.len() + start, 0));
  }
 
  bool carry = false;
  for (size_t index = 0; index < y.len(); index++) {
    limb xi = x[index + start];
    limb yi = y[index];
    bool c1 = false;
    bool c2 = false;
    xi = scalar_add(xi, yi, c1);
    if (carry) {
      xi = scalar_add(xi, 1, c2);
    }
    x[index + start] = xi;
    carry = c1 | c2;
  }
 
  // handle overflow
  if (carry) {
    SIMDJSON_FASTFLOAT_TRY(small_add_from(x, 1, y.len() + start));
  }
  return true;
}
 
// add bigint to bigint.
template <uint16_t size>
simdjson_fastfloat_really_inline SIMDJSON_FASTFLOAT_CONSTEXPR20 bool
large_add_from(stackvec<size> &x, limb_span y) noexcept {
  return large_add_from(x, y, 0);
}
 
// grade-school multiplication algorithm
template <uint16_t size>
SIMDJSON_FASTFLOAT_CONSTEXPR20 bool long_mul(stackvec<size> &x, limb_span y) noexcept {
  limb_span xs = limb_span(x.data, x.len());
  stackvec<size> z(xs);
  limb_span zs = limb_span(z.data, z.len());
 
  if (y.len() != 0) {
    limb y0 = y[0];
    SIMDJSON_FASTFLOAT_TRY(small_mul(x, y0));
    for (size_t index = 1; index < y.len(); index++) {
      limb yi = y[index];
      stackvec<size> zi;
      if (yi != 0) {
        // re-use the same buffer throughout
        zi.set_len(0);
        SIMDJSON_FASTFLOAT_TRY(zi.try_extend(zs));
        SIMDJSON_FASTFLOAT_TRY(small_mul(zi, yi));
        limb_span zis = limb_span(zi.data, zi.len());
        SIMDJSON_FASTFLOAT_TRY(large_add_from(x, zis, index));
      }
    }
  }
 
  x.normalize();
  return true;
}
 
// grade-school multiplication algorithm
template <uint16_t size>
SIMDJSON_FASTFLOAT_CONSTEXPR20 bool large_mul(stackvec<size> &x, limb_span y) noexcept {
  if (y.len() == 1) {
    SIMDJSON_FASTFLOAT_TRY(small_mul(x, y[0]));
  } else {
    SIMDJSON_FASTFLOAT_TRY(long_mul(x, y));
  }
  return true;
}
 
template <typename = void> struct pow5_tables {
  static constexpr uint32_t large_step = 135;
  static constexpr uint64_t small_power_of_5[] = {
      1UL,
      5UL,
      25UL,
      125UL,
      625UL,
      3125UL,
      15625UL,
      78125UL,
      390625UL,
      1953125UL,
      9765625UL,
      48828125UL,
      244140625UL,
      1220703125UL,
      6103515625UL,
      30517578125UL,
      152587890625UL,
      762939453125UL,
      3814697265625UL,
      19073486328125UL,
      95367431640625UL,
      476837158203125UL,
      2384185791015625UL,
      11920928955078125UL,
      59604644775390625UL,
      298023223876953125UL,
      1490116119384765625UL,
      7450580596923828125UL,
  };
#ifdef SIMDJSON_FASTFLOAT_64BIT_LIMB
  constexpr static limb large_power_of_5[] = {
      1414648277510068013UL, 9180637584431281687UL, 4539964771860779200UL,
      10482974169319127550UL, 198276706040285095UL};
#else
  constexpr static limb large_power_of_5[] = {
      4279965485U, 329373468U,  4020270615U, 2137533757U, 4287402176U,
      1057042919U, 1071430142U, 2440757623U, 381945767U,  46164893U};
#endif
};
 
#if SIMDJSON_FASTFLOAT_DETAIL_MUST_DEFINE_CONSTEXPR_VARIABLE
 
template <typename T> constexpr uint32_t pow5_tables<T>::large_step;
 
template <typename T> constexpr uint64_t pow5_tables<T>::small_power_of_5[];
 
template <typename T> constexpr limb pow5_tables<T>::large_power_of_5[];
 
#endif
 
// big integer type. implements a small subset of big integer
// arithmetic, using simple algorithms since asymptotically
// faster algorithms are slower for a small number of limbs.
// all operations assume the big-integer is normalized.
struct bigint : pow5_tables<> {
  // storage of the limbs, in little-endian order.
  stackvec<bigint_limbs> vec;
 
  SIMDJSON_FASTFLOAT_CONSTEXPR20 bigint() : vec() {}
 
  bigint(bigint const &) = delete;
  bigint &operator=(bigint const &) = delete;
  bigint(bigint &&) = delete;
  bigint &operator=(bigint &&other) = delete;
 
  SIMDJSON_FASTFLOAT_CONSTEXPR20 bigint(uint64_t value) : vec() {
#ifdef SIMDJSON_FASTFLOAT_64BIT_LIMB
    vec.push_unchecked(value);
#else
    vec.push_unchecked(uint32_t(value));
    vec.push_unchecked(uint32_t(value >> 32));
#endif
    vec.normalize();
  }
 
  // get the high 64 bits from the vector, and if bits were truncated.
  // this is to get the significant digits for the float.
  SIMDJSON_FASTFLOAT_CONSTEXPR20 uint64_t hi64(bool &truncated) const noexcept {
#ifdef SIMDJSON_FASTFLOAT_64BIT_LIMB
    if (vec.len() == 0) {
      return empty_hi64(truncated);
    } else if (vec.len() == 1) {
      return uint64_hi64(vec.rindex(0), truncated);
    } else {
      uint64_t result = uint64_hi64(vec.rindex(0), vec.rindex(1), truncated);
      truncated |= vec.nonzero(2);
      return result;
    }
#else
    if (vec.len() == 0) {
      return empty_hi64(truncated);
    } else if (vec.len() == 1) {
      return uint32_hi64(vec.rindex(0), truncated);
    } else if (vec.len() == 2) {
      return uint32_hi64(vec.rindex(0), vec.rindex(1), truncated);
    } else {
      uint64_t result =
          uint32_hi64(vec.rindex(0), vec.rindex(1), vec.rindex(2), truncated);
      truncated |= vec.nonzero(3);
      return result;
    }
#endif
  }
 
  // compare two big integers, returning the large value.
  // assumes both are normalized. if the return value is
  // negative, other is larger, if the return value is
  // positive, this is larger, otherwise they are equal.
  // the limbs are stored in little-endian order, so we
  // must compare the limbs in ever order.
  SIMDJSON_FASTFLOAT_CONSTEXPR20 int compare(bigint const &other) const noexcept {
    if (vec.len() > other.vec.len()) {
      return 1;
    } else if (vec.len() < other.vec.len()) {
      return -1;
    } else {
      for (size_t index = vec.len(); index > 0; index--) {
        limb xi = vec[index - 1];
        limb yi = other.vec[index - 1];
        if (xi > yi) {
          return 1;
        } else if (xi < yi) {
          return -1;
        }
      }
      return 0;
    }
  }
 
  // shift left each limb n bits, carrying over to the new limb
  // returns true if we were able to shift all the digits.
  SIMDJSON_FASTFLOAT_CONSTEXPR20 bool shl_bits(size_t n) noexcept {
    // Internally, for each item, we shift left by n, and add the previous
    // right shifted limb-bits.
    // For example, we transform (for u8) shifted left 2, to:
    //      b10100100 b01000010
    //      b10 b10010001 b00001000
    SIMDJSON_FASTFLOAT_DEBUG_ASSERT(n != 0);
    SIMDJSON_FASTFLOAT_DEBUG_ASSERT(n < sizeof(limb) * 8);
 
    size_t shl = n;
    size_t shr = limb_bits - shl;
    limb prev = 0;
    for (size_t index = 0; index < vec.len(); index++) {
      limb xi = vec[index];
      vec[index] = (xi << shl) | (prev >> shr);
      prev = xi;
    }
 
    limb carry = prev >> shr;
    if (carry != 0) {
      return vec.try_push(carry);
    }
    return true;
  }
 
  // move the limbs left by `n` limbs.
  SIMDJSON_FASTFLOAT_CONSTEXPR20 bool shl_limbs(size_t n) noexcept {
    SIMDJSON_FASTFLOAT_DEBUG_ASSERT(n != 0);
    if (n + vec.len() > vec.capacity()) {
      return false;
    } else if (!vec.is_empty()) {
      // move limbs
      limb *dst = vec.data + n;
      limb const *src = vec.data;
      std::copy_backward(src, src + vec.len(), dst + vec.len());
      // fill in empty limbs
      limb *first = vec.data;
      limb *last = first + n;
      ::std::fill(first, last, 0);
      vec.set_len(n + vec.len());
      return true;
    } else {
      return true;
    }
  }
 
  // move the limbs left by `n` bits.
  SIMDJSON_FASTFLOAT_CONSTEXPR20 bool shl(size_t n) noexcept {
    size_t rem = n % limb_bits;
    size_t div = n / limb_bits;
    if (rem != 0) {
      SIMDJSON_FASTFLOAT_TRY(shl_bits(rem));
    }
    if (div != 0) {
      SIMDJSON_FASTFLOAT_TRY(shl_limbs(div));
    }
    return true;
  }
 
  // get the number of leading zeros in the bigint.
  SIMDJSON_FASTFLOAT_CONSTEXPR20 int ctlz() const noexcept {
    if (vec.is_empty()) {
      return 0;
    } else {
#ifdef SIMDJSON_FASTFLOAT_64BIT_LIMB
      return leading_zeroes(vec.rindex(0));
#else
      // no use defining a specialized leading_zeroes for a 32-bit type.
      uint64_t r0 = vec.rindex(0);
      return leading_zeroes(r0 << 32);
#endif
    }
  }
 
  // get the number of bits in the bigint.
  SIMDJSON_FASTFLOAT_CONSTEXPR20 int bit_length() const noexcept {
    int lz = ctlz();
    return int(limb_bits * vec.len()) - lz;
  }
 
  SIMDJSON_FASTFLOAT_CONSTEXPR20 bool mul(limb y) noexcept { return small_mul(vec, y); }
 
  SIMDJSON_FASTFLOAT_CONSTEXPR20 bool add(limb y) noexcept { return small_add(vec, y); }
 
  // multiply as if by 2 raised to a power.
  SIMDJSON_FASTFLOAT_CONSTEXPR20 bool pow2(uint32_t exp) noexcept { return shl(exp); }
 
  // multiply as if by 5 raised to a power.
  SIMDJSON_FASTFLOAT_CONSTEXPR20 bool pow5(uint32_t exp) noexcept {
    // multiply by a power of 5
    size_t large_length = sizeof(large_power_of_5) / sizeof(limb);
    limb_span large = limb_span(large_power_of_5, large_length);
    while (exp >= large_step) {
      SIMDJSON_FASTFLOAT_TRY(large_mul(vec, large));
      exp -= large_step;
    }
#ifdef SIMDJSON_FASTFLOAT_64BIT_LIMB
    uint32_t small_step = 27;
    limb max_native = 7450580596923828125UL;
#else
    uint32_t small_step = 13;
    limb max_native = 1220703125U;
#endif
    while (exp >= small_step) {
      SIMDJSON_FASTFLOAT_TRY(small_mul(vec, max_native));
      exp -= small_step;
    }
    if (exp != 0) {
      // Work around clang bug https://godbolt.org/z/zedh7rrhc
      // This is similar to https://github.com/llvm/llvm-project/issues/47746,
      // except the workaround described there don't work here
      SIMDJSON_FASTFLOAT_TRY(small_mul(vec, limb((static_cast<void>(small_power_of_5[0]),
                                         small_power_of_5[exp]))));
    }
 
    return true;
  }
 
  // multiply as if by 10 raised to a power.
  SIMDJSON_FASTFLOAT_CONSTEXPR20 bool pow10(uint32_t exp) noexcept {
    SIMDJSON_FASTFLOAT_TRY(pow5(exp));
    return pow2(exp);
  }
};
 
} // namespace simdjson_fast_float
 
#endif
 
#ifndef SIMDJSON_FASTFLOAT_DIGIT_COMPARISON_H
#define SIMDJSON_FASTFLOAT_DIGIT_COMPARISON_H
 
#include <cstdint>
#include <cstring>
#include <iterator>
 
 
namespace simdjson_fast_float {
 
// 1e0 to 1e19
constexpr static uint64_t powers_of_ten_uint64[] = {1UL,
                                                    10UL,
                                                    100UL,
                                                    1000UL,
                                                    10000UL,
                                                    100000UL,
                                                    1000000UL,
                                                    10000000UL,
                                                    100000000UL,
                                                    1000000000UL,
                                                    10000000000UL,
                                                    100000000000UL,
                                                    1000000000000UL,
                                                    10000000000000UL,
                                                    100000000000000UL,
                                                    1000000000000000UL,
                                                    10000000000000000UL,
                                                    100000000000000000UL,
                                                    1000000000000000000UL,
                                                    10000000000000000000UL};
 
// calculate the exponent, in scientific notation, of the number.
// this algorithm is not even close to optimized, but it has no practical
// effect on performance: in order to have a faster algorithm, we'd need
// to slow down performance for faster algorithms, and this is still fast.
simdjson_fastfloat_really_inline SIMDJSON_FASTFLOAT_CONSTEXPR14 int32_t
scientific_exponent(uint64_t mantissa, int32_t exponent) noexcept {
  while (mantissa >= 10000) {
    mantissa /= 10000;
    exponent += 4;
  }
  while (mantissa >= 100) {
    mantissa /= 100;
    exponent += 2;
  }
  while (mantissa >= 10) {
    mantissa /= 10;
    exponent += 1;
  }
  return exponent;
}
 
// this converts a native floating-point number to an extended-precision float.
template <typename T>
simdjson_fastfloat_really_inline SIMDJSON_FASTFLOAT_CONSTEXPR20 adjusted_mantissa
to_extended(T value) noexcept {
  using equiv_uint = equiv_uint_t<T>;
  constexpr equiv_uint exponent_mask = binary_format<T>::exponent_mask();
  constexpr equiv_uint mantissa_mask = binary_format<T>::mantissa_mask();
  constexpr equiv_uint hidden_bit_mask = binary_format<T>::hidden_bit_mask();
 
  adjusted_mantissa am;
  int32_t bias = binary_format<T>::mantissa_explicit_bits() -
                 binary_format<T>::minimum_exponent();
  equiv_uint bits;
#if SIMDJSON_FASTFLOAT_HAS_BIT_CAST
  bits = std::bit_cast<equiv_uint>(value);
#else
  ::memcpy(&bits, &value, sizeof(T));
#endif
  if ((bits & exponent_mask) == 0) {
    // denormal
    am.power2 = 1 - bias;
    am.mantissa = bits & mantissa_mask;
  } else {
    // normal
    am.power2 = int32_t((bits & exponent_mask) >>
                        binary_format<T>::mantissa_explicit_bits());
    am.power2 -= bias;
    am.mantissa = (bits & mantissa_mask) | hidden_bit_mask;
  }
 
  return am;
}
 
// get the extended precision value of the halfway point between b and b+u.
// we are given a native float that represents b, so we need to adjust it
// halfway between b and b+u.
template <typename T>
simdjson_fastfloat_really_inline SIMDJSON_FASTFLOAT_CONSTEXPR20 adjusted_mantissa
to_extended_halfway(T value) noexcept {
  adjusted_mantissa am = to_extended(value);
  am.mantissa <<= 1;
  am.mantissa += 1;
  am.power2 -= 1;
  return am;
}
 
// round an extended-precision float to the nearest machine float.
template <typename T, typename callback>
simdjson_fastfloat_really_inline SIMDJSON_FASTFLOAT_CONSTEXPR14 void round(adjusted_mantissa &am,
                                                         callback cb) noexcept {
  int32_t mantissa_shift = 64 - binary_format<T>::mantissa_explicit_bits() - 1;
  if (-am.power2 >= mantissa_shift) {
    // have a denormal float
    int32_t shift = -am.power2 + 1;
    cb(am, (shift < 64 ? shift : 64));
    // check for round-up: if rounding-nearest carried us to the hidden bit.
    am.power2 = (am.mantissa <
                 (uint64_t(1) << binary_format<T>::mantissa_explicit_bits()))
                    ? 0
                    : 1;
    return;
  }
 
  // have a normal float, use the default shift.
  cb(am, mantissa_shift);
 
  // check for carry
  if (am.mantissa >=
      (uint64_t(2) << binary_format<T>::mantissa_explicit_bits())) {
    am.mantissa = (uint64_t(1) << binary_format<T>::mantissa_explicit_bits());
    am.power2++;
  }
 
  // check for infinite: we could have carried to an infinite power
  am.mantissa &= ~(uint64_t(1) << binary_format<T>::mantissa_explicit_bits());
  if (am.power2 >= binary_format<T>::infinite_power()) {
    am.power2 = binary_format<T>::infinite_power();
    am.mantissa = 0;
  }
}
 
template <typename callback>
simdjson_fastfloat_really_inline SIMDJSON_FASTFLOAT_CONSTEXPR14 void
round_nearest_tie_even(adjusted_mantissa &am, int32_t shift,
                       callback cb) noexcept {
  uint64_t const mask = (shift == 64) ? UINT64_MAX : (uint64_t(1) << shift) - 1;
  uint64_t const halfway = (shift == 0) ? 0 : uint64_t(1) << (shift - 1);
  uint64_t truncated_bits = am.mantissa & mask;
  bool is_above = truncated_bits > halfway;
  bool is_halfway = truncated_bits == halfway;
 
  // shift digits into position
  if (shift == 64) {
    am.mantissa = 0;
  } else {
    am.mantissa >>= shift;
  }
  am.power2 += shift;
 
  bool is_odd = (am.mantissa & 1) == 1;
  am.mantissa += uint64_t(cb(is_odd, is_halfway, is_above));
}
 
simdjson_fastfloat_really_inline SIMDJSON_FASTFLOAT_CONSTEXPR14 void
round_down(adjusted_mantissa &am, int32_t shift) noexcept {
  if (shift == 64) {
    am.mantissa = 0;
  } else {
    am.mantissa >>= shift;
  }
  am.power2 += shift;
}
 
template <typename UC>
simdjson_fastfloat_really_inline SIMDJSON_FASTFLOAT_CONSTEXPR20 void
skip_zeros(UC const *&first, UC const *last) noexcept {
  uint64_t val;
  while (!cpp20_and_in_constexpr() &&
         std::distance(first, last) >= int_cmp_len<UC>()) {
    ::memcpy(&val, first, sizeof(uint64_t));
    if (val != int_cmp_zeros<UC>()) {
      break;
    }
    first += int_cmp_len<UC>();
  }
  while (first != last) {
    if (*first != UC('0')) {
      break;
    }
    first++;
  }
}
 
// determine if any non-zero digits were truncated.
// all characters must be valid digits.
template <typename UC>
simdjson_fastfloat_really_inline SIMDJSON_FASTFLOAT_CONSTEXPR20 bool
is_truncated(UC const *first, UC const *last) noexcept {
  // do 8-bit optimizations, can just compare to 8 literal 0s.
  uint64_t val;
  while (!cpp20_and_in_constexpr() &&
         std::distance(first, last) >= int_cmp_len<UC>()) {
    ::memcpy(&val, first, sizeof(uint64_t));
    if (val != int_cmp_zeros<UC>()) {
      return true;
    }
    first += int_cmp_len<UC>();
  }
  while (first != last) {
    if (*first != UC('0')) {
      return true;
    }
    ++first;
  }
  return false;
}
 
template <typename UC>
simdjson_fastfloat_really_inline SIMDJSON_FASTFLOAT_CONSTEXPR20 bool
is_truncated(span<UC const> s) noexcept {
  return is_truncated(s.ptr, s.ptr + s.len());
}
 
template <typename UC>
simdjson_fastfloat_really_inline SIMDJSON_FASTFLOAT_CONSTEXPR20 void
parse_eight_digits(UC const *&p, limb &value, size_t &counter,
                   size_t &count) noexcept {
  value = value * 100000000 + parse_eight_digits_unrolled(p);
  p += 8;
  counter += 8;
  count += 8;
}
 
template <typename UC>
simdjson_fastfloat_really_inline SIMDJSON_FASTFLOAT_CONSTEXPR14 void
parse_one_digit(UC const *&p, limb &value, size_t &counter,
                size_t &count) noexcept {
  value = value * 10 + limb(*p - UC('0'));
  p++;
  counter++;
  count++;
}
 
simdjson_fastfloat_really_inline SIMDJSON_FASTFLOAT_CONSTEXPR20 void
add_native(bigint &big, limb power, limb value) noexcept {
  big.mul(power);
  big.add(value);
}
 
simdjson_fastfloat_really_inline SIMDJSON_FASTFLOAT_CONSTEXPR20 void
round_up_bigint(bigint &big, size_t &count) noexcept {
  // need to round-up the digits, but need to avoid rounding
  // ....9999 to ...10000, which could cause a false halfway point.
  add_native(big, 10, 1);
  count++;
}
 
// parse the significant digits into a big integer
template <typename UC>
inline SIMDJSON_FASTFLOAT_CONSTEXPR20 void
parse_mantissa(bigint &result, parsed_number_string_t<UC> &num,
               size_t max_digits, size_t &digits) noexcept {
  // try to minimize the number of big integer and scalar multiplication.
  // therefore, try to parse 8 digits at a time, and multiply by the largest
  // scalar value (9 or 19 digits) for each step.
  size_t counter = 0;
  digits = 0;
  limb value = 0;
#ifdef SIMDJSON_FASTFLOAT_64BIT_LIMB
  size_t step = 19;
#else
  size_t step = 9;
#endif
 
  // process all integer digits.
  UC const *p = num.integer.ptr;
  UC const *pend = p + num.integer.len();
  skip_zeros(p, pend);
  // process all digits, in increments of step per loop
  while (p != pend) {
    while ((std::distance(p, pend) >= 8) && (step - counter >= 8) &&
           (max_digits - digits >= 8)) {
      parse_eight_digits(p, value, counter, digits);
    }
    while (counter < step && p != pend && digits < max_digits) {
      parse_one_digit(p, value, counter, digits);
    }
    if (digits == max_digits) {
      // add the temporary value, then check if we've truncated any digits
      add_native(result, limb(powers_of_ten_uint64[counter]), value);
      bool truncated = is_truncated(p, pend);
      if (num.fraction.ptr != nullptr) {
        truncated |= is_truncated(num.fraction);
      }
      if (truncated) {
        round_up_bigint(result, digits);
      }
      return;
    } else {
      add_native(result, limb(powers_of_ten_uint64[counter]), value);
      counter = 0;
      value = 0;
    }
  }
 
  // add our fraction digits, if they're available.
  if (num.fraction.ptr != nullptr) {
    p = num.fraction.ptr;
    pend = p + num.fraction.len();
    if (digits == 0) {
      skip_zeros(p, pend);
    }
    // process all digits, in increments of step per loop
    while (p != pend) {
      while ((std::distance(p, pend) >= 8) && (step - counter >= 8) &&
             (max_digits - digits >= 8)) {
        parse_eight_digits(p, value, counter, digits);
      }
      while (counter < step && p != pend && digits < max_digits) {
        parse_one_digit(p, value, counter, digits);
      }
      if (digits == max_digits) {
        // add the temporary value, then check if we've truncated any digits
        add_native(result, limb(powers_of_ten_uint64[counter]), value);
        bool truncated = is_truncated(p, pend);
        if (truncated) {
          round_up_bigint(result, digits);
        }
        return;
      } else {
        add_native(result, limb(powers_of_ten_uint64[counter]), value);
        counter = 0;
        value = 0;
      }
    }
  }
 
  if (counter != 0) {
    add_native(result, limb(powers_of_ten_uint64[counter]), value);
  }
}
 
template <typename T>
inline SIMDJSON_FASTFLOAT_CONSTEXPR20 adjusted_mantissa
positive_digit_comp(bigint &bigmant, int32_t exponent) noexcept {
  SIMDJSON_FASTFLOAT_ASSERT(bigmant.pow10(uint32_t(exponent)));
  adjusted_mantissa answer;
  bool truncated;
  answer.mantissa = bigmant.hi64(truncated);
  int bias = binary_format<T>::mantissa_explicit_bits() -
             binary_format<T>::minimum_exponent();
  answer.power2 = bigmant.bit_length() - 64 + bias;
 
  round<T>(answer, [truncated](adjusted_mantissa &a, int32_t shift) {
    round_nearest_tie_even(
        a, shift,
        [truncated](bool is_odd, bool is_halfway, bool is_above) -> bool {
          return is_above || (is_halfway && truncated) ||
                 (is_odd && is_halfway);
        });
  });
 
  return answer;
}
 
// the scaling here is quite simple: we have, for the real digits `m * 10^e`,
// and for the theoretical digits `n * 2^f`. Since `e` is always negative,
// to scale them identically, we do `n * 2^f * 5^-f`, so we now have `m * 2^e`.
// we then need to scale by `2^(f- e)`, and then the two significant digits
// are of the same magnitude.
template <typename T>
inline SIMDJSON_FASTFLOAT_CONSTEXPR20 adjusted_mantissa negative_digit_comp(
    bigint &bigmant, adjusted_mantissa am, int32_t exponent) noexcept {
  bigint &real_digits = bigmant;
  int32_t real_exp = exponent;
 
  // get the value of `b`, rounded down, and get a bigint representation of b+h
  adjusted_mantissa am_b = am;
  // gcc7 buf: use a lambda to remove the noexcept qualifier bug with
  // -Wnoexcept-type.
  round<T>(am_b,
           [](adjusted_mantissa &a, int32_t shift) { round_down(a, shift); });
  T b;
  to_float(false, am_b, b);
  adjusted_mantissa theor = to_extended_halfway(b);
  bigint theor_digits(theor.mantissa);
  int32_t theor_exp = theor.power2;
 
  // scale real digits and theor digits to be same power.
  int32_t pow2_exp = theor_exp - real_exp;
  uint32_t pow5_exp = uint32_t(-real_exp);
  if (pow5_exp != 0) {
    SIMDJSON_FASTFLOAT_ASSERT(theor_digits.pow5(pow5_exp));
  }
  if (pow2_exp > 0) {
    SIMDJSON_FASTFLOAT_ASSERT(theor_digits.pow2(uint32_t(pow2_exp)));
  } else if (pow2_exp < 0) {
    SIMDJSON_FASTFLOAT_ASSERT(real_digits.pow2(uint32_t(-pow2_exp)));
  }
 
  // compare digits, and use it to direct rounding
  int ord = real_digits.compare(theor_digits);
  adjusted_mantissa answer = am;
  round<T>(answer, [ord](adjusted_mantissa &a, int32_t shift) {
    round_nearest_tie_even(
        a, shift, [ord](bool is_odd, bool _, bool __) -> bool {
          static_cast<void>(_);  // not needed, since we've done our comparison
          static_cast<void>(__); // not needed, since we've done our comparison
          if (ord > 0) {
            return true;
          } else if (ord < 0) {
            return false;
          } else {
            return is_odd;
          }
        });
  });
 
  return answer;
}
 
// parse the significant digits as a big integer to unambiguously round
// the significant digits. here, we are trying to determine how to round
// an extended float representation close to `b+h`, halfway between `b`
// (the float rounded-down) and `b+u`, the next positive float. this
// algorithm is always correct, and uses one of two approaches. when
// the exponent is positive relative to the significant digits (such as
// 1234), we create a big-integer representation, get the high 64-bits,
// determine if any lower bits are truncated, and use that to direct
// rounding. in case of a negative exponent relative to the significant
// digits (such as 1.2345), we create a theoretical representation of
// `b` as a big-integer type, scaled to the same binary exponent as
// the actual digits. we then compare the big integer representations
// of both, and use that to direct rounding.
template <typename T, typename UC>
inline SIMDJSON_FASTFLOAT_CONSTEXPR20 adjusted_mantissa
digit_comp(parsed_number_string_t<UC> &num, adjusted_mantissa am) noexcept {
  // remove the invalid exponent bias
  am.power2 -= invalid_am_bias;
 
  int32_t sci_exp =
      scientific_exponent(num.mantissa, static_cast<int32_t>(num.exponent));
  size_t max_digits = binary_format<T>::max_digits();
  size_t digits = 0;
  bigint bigmant;
  parse_mantissa(bigmant, num, max_digits, digits);
  // can't underflow, since digits is at most max_digits.
  int32_t exponent = sci_exp + 1 - int32_t(digits);
  if (exponent >= 0) {
    return positive_digit_comp<T>(bigmant, exponent);
  } else {
    return negative_digit_comp<T>(bigmant, am, exponent);
  }
}
 
} // namespace simdjson_fast_float
 
#endif
 
#ifndef SIMDJSON_FASTFLOAT_PARSE_NUMBER_H
#define SIMDJSON_FASTFLOAT_PARSE_NUMBER_H
 
 
#include <cmath>
#include <cstring>
#include <limits>
#include <system_error>
 
namespace simdjson_fast_float {
 
namespace detail {
template <typename T, typename UC>
from_chars_result_t<UC>
    SIMDJSON_FASTFLOAT_CONSTEXPR14 parse_infnan(UC const *first, UC const *last,
                                       T &value, chars_format fmt) noexcept {
  from_chars_result_t<UC> answer{};
  answer.ptr = first;
  answer.ec = std::errc(); // be optimistic
  // assume first < last, so dereference without checks;
  bool const minusSign = (*first == UC('-'));
  // C++17 20.19.3.(7.1) explicitly forbids '+' sign here
  if ((*first == UC('-')) ||
      (uint64_t(fmt & chars_format::allow_leading_plus) &&
       (*first == UC('+')))) {
    ++first;
  }
  if (last - first >= 3) {
    if (simdjson_fastfloat_strncasecmp3(first, str_const_nan<UC>())) {
      answer.ptr = (first += 3);
      value = minusSign ? -std::numeric_limits<T>::quiet_NaN()
                        : std::numeric_limits<T>::quiet_NaN();
      // Check for possible nan(n-char-seq-opt), C++17 20.19.3.7,
      // C11 7.20.1.3.3. At least MSVC produces nan(ind) and nan(snan).
      if (first != last && *first == UC('(')) {
        for (UC const *ptr = first + 1; ptr != last; ++ptr) {
          if (*ptr == UC(')')) {
            answer.ptr = ptr + 1; // valid nan(n-char-seq-opt)
            break;
          } else if (!((UC('a') <= *ptr && *ptr <= UC('z')) ||
                       (UC('A') <= *ptr && *ptr <= UC('Z')) ||
                       (UC('0') <= *ptr && *ptr <= UC('9')) || *ptr == UC('_')))
            break; // forbidden char, not nan(n-char-seq-opt)
        }
      }
      return answer;
    }
    if (simdjson_fastfloat_strncasecmp3(first, str_const_inf<UC>())) {
      if ((last - first >= 8) &&
          simdjson_fastfloat_strncasecmp5(first + 3, str_const_inf<UC>() + 3)) {
        answer.ptr = first + 8;
      } else {
        answer.ptr = first + 3;
      }
      value = minusSign ? -std::numeric_limits<T>::infinity()
                        : std::numeric_limits<T>::infinity();
      return answer;
    }
  }
  answer.ec = std::errc::invalid_argument;
  return answer;
}
 
simdjson_fastfloat_really_inline bool rounds_to_nearest() noexcept {
  // https://lemire.me/blog/2020/06/26/gcc-not-nearest/
#if (FLT_EVAL_METHOD != 1) && (FLT_EVAL_METHOD != 0)
  return false;
#endif
  // See
  // A fast function to check your floating-point rounding mode
  // https://lemire.me/blog/2022/11/16/a-fast-function-to-check-your-floating-point-rounding-mode/
  //
  // This function is meant to be equivalent to :
  // prior: #include <cfenv>
  //  return fegetround() == FE_TONEAREST;
  // However, it is expected to be much faster than the fegetround()
  // function call.
  //
  // The volatile keyword prevents the compiler from computing the function
  // at compile-time.
  // There might be other ways to prevent compile-time optimizations (e.g.,
  // asm). The value does not need to be std::numeric_limits<float>::min(), any
  // small value so that 1 + x should round to 1 would do (after accounting for
  // excess precision, as in 387 instructions).
  static float volatile fmin = (std::numeric_limits<float>::min)();
  float fmini = fmin; // we copy it so that it gets loaded at most once.
//
// Explanation:
// Only when fegetround() == FE_TONEAREST do we have that
// fmin + 1.0f == 1.0f - fmin.
//
// FE_UPWARD:
//  fmin + 1.0f > 1
//  1.0f - fmin == 1
//
// FE_DOWNWARD or  FE_TOWARDZERO:
//  fmin + 1.0f == 1
//  1.0f - fmin < 1
//
// Note: This may fail to be accurate if fast-math has been
// enabled, as rounding conventions may not apply.
#ifdef SIMDJSON_FASTFLOAT_VISUAL_STUDIO
#pragma warning(push)
//  todo: is there a VS warning?
//  see
//  https://stackoverflow.com/questions/46079446/is-there-a-warning-for-floating-point-equality-checking-in-visual-studio-2013
#elif defined(__clang__)
#pragma clang diagnostic push
#pragma clang diagnostic ignored "-Wfloat-equal"
#elif defined(__GNUC__)
#pragma GCC diagnostic push
#pragma GCC diagnostic ignored "-Wfloat-equal"
#endif
  return (fmini + 1.0f == 1.0f - fmini);
#ifdef SIMDJSON_FASTFLOAT_VISUAL_STUDIO
#pragma warning(pop)
#elif defined(__clang__)
#pragma clang diagnostic pop
#elif defined(__GNUC__)
#pragma GCC diagnostic pop
#endif
}
 
} // namespace detail
 
template <typename T> struct from_chars_caller {
  template <typename UC>
  SIMDJSON_FASTFLOAT_CONSTEXPR20 static from_chars_result_t<UC>
  call(UC const *first, UC const *last, T &value,
       parse_options_t<UC> options) noexcept {
    return from_chars_advanced(first, last, value, options);
  }
};
 
#ifdef __STDCPP_FLOAT32_T__
template <> struct from_chars_caller<std::float32_t> {
  template <typename UC>
  SIMDJSON_FASTFLOAT_CONSTEXPR20 static from_chars_result_t<UC>
  call(UC const *first, UC const *last, std::float32_t &value,
       parse_options_t<UC> options) noexcept {
    // if std::float32_t is defined, and we are in C++23 mode; macro set for
    // float32; set value to float due to equivalence between float and
    // float32_t
    float val = 0.0f;
    auto ret = from_chars_advanced(first, last, val, options);
    value = val;
    return ret;
  }
};
#endif
 
#ifdef __STDCPP_FLOAT64_T__
template <> struct from_chars_caller<std::float64_t> {
  template <typename UC>
  SIMDJSON_FASTFLOAT_CONSTEXPR20 static from_chars_result_t<UC>
  call(UC const *first, UC const *last, std::float64_t &value,
       parse_options_t<UC> options) noexcept {
    // if std::float64_t is defined, and we are in C++23 mode; macro set for
    // float64; set value as double due to equivalence between double and
    // float64_t
    double val = 0.0;
    auto ret = from_chars_advanced(first, last, val, options);
    value = val;
    return ret;
  }
};
#endif
 
template <typename T, typename UC, typename>
SIMDJSON_FASTFLOAT_CONSTEXPR20 from_chars_result_t<UC>
from_chars(UC const *first, UC const *last, T &value,
           chars_format fmt /*= chars_format::general*/) noexcept {
  return from_chars_caller<T>::call(first, last, value,
                                    parse_options_t<UC>(fmt));
}
 
template <typename T>
simdjson_fastfloat_really_inline SIMDJSON_FASTFLOAT_CONSTEXPR20 bool
clinger_fast_path_impl(uint64_t mantissa, int64_t exponent, bool is_negative,
                       T &value) noexcept {
  // The implementation of the Clinger's fast path is convoluted because
  // we want round-to-nearest in all cases, irrespective of the rounding mode
  // selected on the thread.
  // We proceed optimistically, assuming that detail::rounds_to_nearest()
  // returns true.
  if (binary_format<T>::min_exponent_fast_path() <= exponent &&
      exponent <= binary_format<T>::max_exponent_fast_path() &&
      mantissa <= binary_format<T>::max_mantissa_fast_path()) {
    // The mantissa bound above is a necessary condition for BOTH branches
    // below: the rounding-mode-dependent branch checks the tighter
    // max_mantissa_fast_path(exponent) <= max_mantissa_fast_path(). Testing
    // it before detail::rounds_to_nearest() spares long-mantissa inputs
    // (which can never take the fast path) the volatile-float probe.
    //
    // Unfortunately, the conventional Clinger's fast path is only possible
    // when the system rounds to the nearest float.
    //
    // We expect the next branch to almost always be selected.
    // We could check it first (before the previous branch), but
    // there might be performance advantages at having the check
    // be last.
    if (!cpp20_and_in_constexpr() && detail::rounds_to_nearest()) {
      // We have that fegetround() == FE_TONEAREST.
      // Next is Clinger's fast path.
      value = T(mantissa);
      if (exponent < 0) {
        value = value / binary_format<T>::exact_power_of_ten(-exponent);
      } else {
        value = value * binary_format<T>::exact_power_of_ten(exponent);
      }
      if (is_negative) {
        value = -value;
      }
      return true;
    } else {
      // We do not have that fegetround() == FE_TONEAREST.
      // Next is a modified Clinger's fast path, inspired by Jakub Jelinek's
      // proposal
      if (exponent >= 0 &&
          mantissa <= binary_format<T>::max_mantissa_fast_path(exponent)) {
#if defined(__clang__) || defined(SIMDJSON_FASTFLOAT_32BIT)
        // Clang may map 0 to -0.0 when fegetround() == FE_DOWNWARD
        if (mantissa == 0) {
          value = is_negative ? T(-0.) : T(0.);
          return true;
        }
#endif
        value = T(mantissa) * binary_format<T>::exact_power_of_ten(exponent);
        if (is_negative) {
          value = -value;
        }
        return true;
      }
    }
  }
  return false;
}
 
template <typename T, typename UC>
simdjson_fastfloat_really_inline SIMDJSON_FASTFLOAT_CONSTEXPR20 from_chars_result_t<UC>
from_chars_advanced(parsed_number_string_t<UC> &pns, T &value) noexcept {
  static_assert(is_supported_float_type<T>::value,
                "only some floating-point types are supported");
  static_assert(is_supported_char_type<UC>::value,
                "only char, wchar_t, char16_t and char32_t are supported");
 
  from_chars_result_t<UC> answer;
 
  answer.ec = std::errc(); // be optimistic
  answer.ptr = pns.lastmatch;
 
  if (!pns.too_many_digits &&
      clinger_fast_path_impl(pns.mantissa, pns.exponent, pns.negative, value))
    return answer;
 
  adjusted_mantissa am =
      compute_float<binary_format<T>>(pns.exponent, pns.mantissa);
  if (pns.too_many_digits && am.power2 >= 0) {
    if (am != compute_float<binary_format<T>>(pns.exponent, pns.mantissa + 1)) {
      am = compute_error<binary_format<T>>(pns.exponent, pns.mantissa);
    }
  }
  // If we called compute_float<binary_format<T>>(pns.exponent, pns.mantissa)
  // and we have an invalid power (am.power2 < 0), then we need to go the long
  // way around again. This is very uncommon.
  if (am.power2 < 0) {
    am = digit_comp<T>(pns, am);
  }
  to_float(pns.negative, am, value);
  // Test for over/underflow.
  if ((pns.mantissa != 0 && am.mantissa == 0 && am.power2 == 0) ||
      am.power2 == binary_format<T>::infinite_power()) {
    answer.ec = std::errc::result_out_of_range;
  }
  return answer;
}
 
// Slow path: re-parse materializing the integer/fraction spans the hot no-span
// parse skipped, then run the full algorithm. The two callers reach it only
// through a simdjson_fastfloat_unlikely branch, so the optimizer keeps this re-parse off
// the hot path on its own (no function-level noinline needed).
// from_chars_advanced already handles both the too_many_digits disambiguation
// and the am.power2<0 digit_comp recompute, so both slow branches collapse to
// one helper call.
template <typename T, typename UC>
SIMDJSON_FASTFLOAT_CONSTEXPR20 from_chars_result_t<UC>
parse_number_slow_path(UC const *first, UC const *last, T &value,
                       parse_options_t<UC> options, bool bjf) noexcept {
  parsed_number_string_t<UC> pns =
      bjf ? parse_number_string<true, UC>(first, last, options, true)
          : parse_number_string<false, UC>(first, last, options, true);
  return from_chars_advanced(pns, value);
}
 
template <typename T, typename UC>
simdjson_fastfloat_really_inline SIMDJSON_FASTFLOAT_CONSTEXPR20 from_chars_result_t<UC>
from_chars_float_advanced(UC const *first, UC const *last, T &value,
                          parse_options_t<UC> options) noexcept {
 
  static_assert(is_supported_float_type<T>::value,
                "only some floating-point types are supported");
  static_assert(is_supported_char_type<UC>::value,
                "only char, wchar_t, char16_t and char32_t are supported");
 
  chars_format const fmt = detail::adjust_for_feature_macros(options.format);
 
  from_chars_result_t<UC> answer;
  if (uint64_t(fmt & chars_format::skip_white_space)) {
    while ((first != last) && simdjson_fast_float::is_space(*first)) {
      first++;
    }
  }
  if (first == last) {
    answer.ec = std::errc::invalid_argument;
    answer.ptr = first;
    return answer;
  }
  bool const bjf = uint64_t(fmt & detail::basic_json_fmt) != 0;
 
  // Fast path: parse WITHOUT materializing the integer/fraction spans (read
  // only by the rare slow paths). Skipping their stores keeps the fat
  // parsed_number_string_t off the hot path. store_spans is a runtime argument,
  // so this reuses the single parse_number_string instantiation.
  parsed_number_string_t<UC> pns =
      bjf ? parse_number_string<true, UC>(first, last, options, false)
          : parse_number_string<false, UC>(first, last, options, false);
  if (!pns.valid) {
    if (uint64_t(fmt & chars_format::no_infnan)) {
      answer.ec = std::errc::invalid_argument;
      answer.ptr = first;
      return answer;
    } else {
      return detail::parse_infnan(first, last, value, fmt);
    }
  }
 
  // Slow path A (rare): > 19 significant digits. The no-span parse left the
  // mantissa un-truncated and skipped the span-based recompute; the cold helper
  // re-parses with spans and runs the full algorithm.
  //
// We have to disable -Wc++20-extensions for the [[unlikely]] attribute
// See comment for @jwakely at
// https://github.com/fastfloat/simdjson_fast_float/pull/387#discussion_r3366943539
// This is unfortunate.
#ifdef __clang__
#pragma clang diagnostic push
#if (!defined(__APPLE_CC__) && __clang_major__ >= 10) || (__clang_major__ >= 13)
#pragma clang diagnostic ignored "-Wc++20-extensions"
#endif
#endif
  if simdjson_fastfloat_unlikely (pns.too_many_digits) {
    return parse_number_slow_path<T, UC>(first, last, value, options, bjf);
  }
  answer.ec = std::errc(); // be optimistic
  answer.ptr = pns.lastmatch;
 
  if (clinger_fast_path_impl(pns.mantissa, pns.exponent, pns.negative, value)) {
    return answer;
  }
 
  adjusted_mantissa am =
      compute_float<binary_format<T>>(pns.exponent, pns.mantissa);
  // Slow path B (rare): Eisel-Lemire could not resolve; digit_comp needs the
  // integer/fraction spans. Route to the cold helper (clinger there is a
  // dead-effect since it already failed here; the cold re-parse + digit_comp
  // via from_chars_advanced reproduces this branch).
  if simdjson_fastfloat_unlikely (am.power2 < 0) {
    return parse_number_slow_path<T, UC>(first, last, value, options, bjf);
  }
#ifdef __clang__
#pragma clang diagnostic pop
#endif
  to_float(pns.negative, am, value);
  // Test for over/underflow.
  if ((pns.mantissa != 0 && am.mantissa == 0 && am.power2 == 0) ||
      am.power2 == binary_format<T>::infinite_power()) {
    answer.ec = std::errc::result_out_of_range;
  }
  return answer;
}
 
template <typename T, typename UC, typename>
SIMDJSON_FASTFLOAT_CONSTEXPR20 from_chars_result_t<UC>
from_chars(UC const *first, UC const *last, T &value, int base) noexcept {
 
  static_assert(is_supported_integer_type<T>::value,
                "only integer types are supported");
  static_assert(is_supported_char_type<UC>::value,
                "only char, wchar_t, char16_t and char32_t are supported");
 
  parse_options_t<UC> options;
  options.base = base;
  return from_chars_advanced(first, last, value, options);
}
 
template <typename T>
SIMDJSON_FASTFLOAT_CONSTEXPR20
    typename std::enable_if<is_supported_float_type<T>::value, T>::type
    integer_times_pow10(uint64_t mantissa, int decimal_exponent) noexcept {
  T value;
  if (clinger_fast_path_impl(mantissa, decimal_exponent, false, value))
    return value;
 
  adjusted_mantissa am =
      compute_float<binary_format<T>>(decimal_exponent, mantissa);
  to_float(false, am, value);
  return value;
}
 
template <typename T>
SIMDJSON_FASTFLOAT_CONSTEXPR20
    typename std::enable_if<is_supported_float_type<T>::value, T>::type
    integer_times_pow10(int64_t mantissa, int decimal_exponent) noexcept {
  const bool is_negative = mantissa < 0;
  const uint64_t m = static_cast<uint64_t>(is_negative ? -mantissa : mantissa);
 
  T value;
  if (clinger_fast_path_impl(m, decimal_exponent, is_negative, value))
    return value;
 
  adjusted_mantissa am = compute_float<binary_format<T>>(decimal_exponent, m);
  to_float(is_negative, am, value);
  return value;
}
 
SIMDJSON_FASTFLOAT_CONSTEXPR20 inline double
integer_times_pow10(uint64_t mantissa, int decimal_exponent) noexcept {
  return integer_times_pow10<double>(mantissa, decimal_exponent);
}
 
SIMDJSON_FASTFLOAT_CONSTEXPR20 inline double
integer_times_pow10(int64_t mantissa, int decimal_exponent) noexcept {
  return integer_times_pow10<double>(mantissa, decimal_exponent);
}
 
// the following overloads are here to avoid surprising ambiguity for int,
// unsigned, etc.
template <typename T, typename Int>
SIMDJSON_FASTFLOAT_CONSTEXPR20
    typename std::enable_if<is_supported_float_type<T>::value &&
                                std::is_integral<Int>::value &&
                                !std::is_signed<Int>::value,
                            T>::type
    integer_times_pow10(Int mantissa, int decimal_exponent) noexcept {
  return integer_times_pow10<T>(static_cast<uint64_t>(mantissa),
                                decimal_exponent);
}
 
template <typename T, typename Int>
SIMDJSON_FASTFLOAT_CONSTEXPR20
    typename std::enable_if<is_supported_float_type<T>::value &&
                                std::is_integral<Int>::value &&
                                std::is_signed<Int>::value,
                            T>::type
    integer_times_pow10(Int mantissa, int decimal_exponent) noexcept {
  return integer_times_pow10<T>(static_cast<int64_t>(mantissa),
                                decimal_exponent);
}
 
template <typename Int>
SIMDJSON_FASTFLOAT_CONSTEXPR20 typename std::enable_if<
    std::is_integral<Int>::value && !std::is_signed<Int>::value, double>::type
integer_times_pow10(Int mantissa, int decimal_exponent) noexcept {
  return integer_times_pow10(static_cast<uint64_t>(mantissa), decimal_exponent);
}
 
template <typename Int>
SIMDJSON_FASTFLOAT_CONSTEXPR20 typename std::enable_if<
    std::is_integral<Int>::value && std::is_signed<Int>::value, double>::type
integer_times_pow10(Int mantissa, int decimal_exponent) noexcept {
  return integer_times_pow10(static_cast<int64_t>(mantissa), decimal_exponent);
}
 
template <typename T, typename UC>
SIMDJSON_FASTFLOAT_CONSTEXPR20 from_chars_result_t<UC>
from_chars_int_advanced(UC const *first, UC const *last, T &value,
                        parse_options_t<UC> options) noexcept {
 
  static_assert(is_supported_integer_type<T>::value,
                "only integer types are supported");
  static_assert(is_supported_char_type<UC>::value,
                "only char, wchar_t, char16_t and char32_t are supported");
 
  chars_format const fmt = detail::adjust_for_feature_macros(options.format);
  int const base = options.base;
 
  from_chars_result_t<UC> answer;
  if (uint64_t(fmt & chars_format::skip_white_space)) {
    while ((first != last) && simdjson_fast_float::is_space(*first)) {
      first++;
    }
  }
  if (first == last || base < 2 || base > 36) {
    answer.ec = std::errc::invalid_argument;
    answer.ptr = first;
    return answer;
  }
 
  return parse_int_string(first, last, value, options);
}
 
template <size_t TypeIx> struct from_chars_advanced_caller {
  static_assert(TypeIx > 0, "unsupported type");
};
 
template <> struct from_chars_advanced_caller<1> {
  template <typename T, typename UC>
  simdjson_fastfloat_really_inline SIMDJSON_FASTFLOAT_CONSTEXPR20 static from_chars_result_t<UC>
  call(UC const *first, UC const *last, T &value,
       parse_options_t<UC> options) noexcept {
    return from_chars_float_advanced(first, last, value, options);
  }
};
 
template <> struct from_chars_advanced_caller<2> {
  template <typename T, typename UC>
  simdjson_fastfloat_really_inline SIMDJSON_FASTFLOAT_CONSTEXPR20 static from_chars_result_t<UC>
  call(UC const *first, UC const *last, T &value,
       parse_options_t<UC> options) noexcept {
    return from_chars_int_advanced(first, last, value, options);
  }
};
 
template <typename T, typename UC>
simdjson_fastfloat_really_inline SIMDJSON_FASTFLOAT_CONSTEXPR20 from_chars_result_t<UC>
from_chars_advanced(UC const *first, UC const *last, T &value,
                    parse_options_t<UC> options) noexcept {
  return from_chars_advanced_caller<
      size_t(is_supported_float_type<T>::value) +
      2 * size_t(is_supported_integer_type<T>::value)>::call(first, last, value,
                                                             options);
}
 
} // namespace simdjson_fast_float
 
#endif