path: root/src/third-party/scnlib/src/deps/fast_float/single_include/fast_float/fast_float.h

// fast_float v3.4.0

// fast_float by Daniel Lemire
// fast_float by João 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
//
// Licensed under the Apache License, Version 2.0, or the
// MIT License at your option. This file may not be copied,
// modified, or distributed except according to those terms.
//
// MIT License Notice
//
//    MIT License
//
//    Copyright (c) 2021 The 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 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
//

#ifndef FASTFLOAT_FAST_FLOAT_H
#define FASTFLOAT_FAST_FLOAT_H

#include <system_error>

namespace fast_float {
    enum chars_format {
        scientific = 1<<0,
        fixed = 1<<2,
        hex = 1<<3,
        general = fixed | scientific
    };


    struct from_chars_result {
        const char *ptr;
        std::errc ec;
    };

    struct parse_options {
        constexpr explicit parse_options(chars_format fmt = chars_format::general,
                                         char dot = '.')
            : format(fmt), decimal_point(dot) {}

        /** Which number formats are accepted */
        chars_format format;
        /** The character used as decimal point */
        char decimal_point;
    };

    /**
 * This function parses the character sequence [first,last) for a number. It parses floating-point numbers expecting
 * a locale-indepent format equivalent to what is used by std::strtod in the default ("C") locale.
 * The resulting floating-point value is the closest floating-point values (using either float or double),
 * using the "round to even" convention for values that would otherwise fall right in-between two values.
 * That is, we provide exact parsing according to the IEEE standard.
 *
 * Given a successful parse, the pointer (`ptr`) in the returned value is set to point right after the
 * parsed number, and the `value` referenced is set to the parsed value. In case of error, the returned
 * `ec` contains a representative error, otherwise the default (`std::errc()`) value is stored.
 *
 * The implementation does not throw and does not allocate memory (e.g., with `new` or `malloc`).
 *
 * Like the C++17 standard, the `fast_float::from_chars` functions take an optional last argument of
 * the type `fast_float::chars_format`. It is a bitset value: we check whether
 * `fmt & fast_float::chars_format::fixed` and `fmt & fast_float::chars_format::scientific` are set
 * to determine whether we allowe the fixed point and scientific notation respectively.
 * The default is  `fast_float::chars_format::general` which allows both `fixed` and `scientific`.
     */
    template<typename T>
    from_chars_result from_chars(const char *first, const char *last,
                                 T &value, chars_format fmt = chars_format::general)  noexcept;

    /**
 * Like from_chars, but accepts an `options` argument to govern number parsing.
     */
    template<typename T>
    from_chars_result from_chars_advanced(const char *first, const char *last,
                                          T &value, parse_options options)  noexcept;

}
#endif // FASTFLOAT_FAST_FLOAT_H

#ifndef FASTFLOAT_FLOAT_COMMON_H
#define FASTFLOAT_FLOAT_COMMON_H

#include <cfloat>
#include <cstdint>
#include <cassert>
#include <cstring>
#include <type_traits>

#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(__EMSCRIPTEN__))
#define FASTFLOAT_64BIT
#elif (defined(__i386) || defined(__i386__) || defined(_M_IX86)   \
     || defined(__arm__) || defined(_M_ARM)                   \
     || defined(__MINGW32__))
#define FASTFLOAT_32BIT
#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 FASTFLOAT_32BIT
#elif SIZE_MAX == 0xffffffffffffffff
#define FASTFLOAT_64BIT
#else
#error Unknown platform (not 32-bit, not 64-bit?)
#endif
#endif

#if ((defined(_WIN32) || defined(_WIN64)) && !defined(__clang__))
#include <intrin.h>
#endif

#if defined(_MSC_VER) && !defined(__clang__)
#define FASTFLOAT_VISUAL_STUDIO 1
#endif

#ifdef _WIN32
#define FASTFLOAT_IS_BIG_ENDIAN 0
#else
#if defined(__APPLE__) || defined(__FreeBSD__)
#include <machine/endian.h>
#elif defined(sun) || defined(__sun)
#include <sys/byteorder.h>
#else
#include <endian.h>
#endif
#
#ifndef __BYTE_ORDER__
// safe choice
#define FASTFLOAT_IS_BIG_ENDIAN 0
#endif
#
#ifndef __ORDER_LITTLE_ENDIAN__
// safe choice
#define FASTFLOAT_IS_BIG_ENDIAN 0
#endif
#
#if __BYTE_ORDER__ == __ORDER_LITTLE_ENDIAN__
#define FASTFLOAT_IS_BIG_ENDIAN 0
#else
#define FASTFLOAT_IS_BIG_ENDIAN 1
#endif
#endif

#ifdef FASTFLOAT_VISUAL_STUDIO
#define fastfloat_really_inline __forceinline
#else
#define fastfloat_really_inline inline __attribute__((always_inline))
#endif

#ifndef FASTFLOAT_ASSERT
#define FASTFLOAT_ASSERT(x)  { if (!(x)) abort(); }
#endif

#ifndef FASTFLOAT_DEBUG_ASSERT
#include <cassert>
#define FASTFLOAT_DEBUG_ASSERT(x) assert(x)
#endif

// rust style `try!()` macro, or `?` operator
#define FASTFLOAT_TRY(x) { if (!(x)) return false; }

namespace fast_float {

    // Compares two ASCII strings in a case insensitive manner.
    inline bool fastfloat_strncasecmp(const char *input1, const char *input2,
                                      size_t length) {
        char running_diff{0};
        for (size_t i = 0; i < length; i++) {
            running_diff |= (input1[i] ^ input2[i]);
        }
        return (running_diff == 0) || (running_diff == 32);
    }

#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 {
        const T* ptr;
        size_t length;
        span(const T* _ptr, size_t _length) : ptr(_ptr), length(_length) {}
        span() : ptr(nullptr), length(0) {}

        constexpr size_t len() const noexcept {
            return length;
        }

        const T& operator[](size_t index) const noexcept {
            FASTFLOAT_DEBUG_ASSERT(index < length);
            return ptr[index];
        }
    };

    struct value128 {
        uint64_t low;
        uint64_t high;
        value128(uint64_t _low, uint64_t _high) : low(_low), high(_high) {}
        value128() : low(0), high(0) {}
    };

    /* result might be undefined when input_num is zero */
    fastfloat_really_inline int leading_zeroes(uint64_t input_num) {
        assert(input_num > 0);
#ifdef 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 (int)(63 - leading_zero);
#else
        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;
#endif
#else
        return __builtin_clzll(input_num);
#endif
    }

#ifdef FASTFLOAT_32BIT

    // slow emulation routine for 32-bit
    fastfloat_really_inline uint64_t emulu(uint32_t x, uint32_t y) {
        return x * (uint64_t)y;
    }

// slow emulation routine for 32-bit
#if !defined(__MINGW64__)
    fastfloat_really_inline uint64_t _umul128(uint64_t ab, uint64_t cd,
                                              uint64_t *hi) {
        uint64_t ad = emulu((uint32_t)(ab >> 32), (uint32_t)cd);
        uint64_t bd = emulu((uint32_t)ab, (uint32_t)cd);
        uint64_t adbc = ad + emulu((uint32_t)ab, (uint32_t)(cd >> 32));
        uint64_t adbc_carry = !!(adbc < ad);
        uint64_t lo = bd + (adbc << 32);
        *hi = emulu((uint32_t)(ab >> 32), (uint32_t)(cd >> 32)) + (adbc >> 32) +
              (adbc_carry << 32) + !!(lo < bd);
        return lo;
    }
#endif // !__MINGW64__

#endif // FASTFLOAT_32BIT


    // compute 64-bit a*b
    fastfloat_really_inline value128 full_multiplication(uint64_t a,
                                                         uint64_t b) {
        value128 answer;
#ifdef _M_ARM64
        // ARM64 has native support for 64-bit multiplications, no need to emulate
        answer.high = __umulh(a, b);
        answer.low = a * b;
#elif defined(FASTFLOAT_32BIT) || (defined(_WIN64) && !defined(__clang__))
        answer.low = _umul128(a, b, &answer.high); // _umul128 not available on ARM64
#elif defined(FASTFLOAT_64BIT)
        __uint128_t r = ((__uint128_t)a) * b;
        answer.low = uint64_t(r);
        answer.high = uint64_t(r >> 64);
#else
#error Not implemented
#endif
        return answer;
    }

    struct adjusted_mantissa {
        uint64_t mantissa{0};
        int32_t power2{0}; // a negative value indicates an invalid result
        adjusted_mantissa() = default;
        bool operator==(const adjusted_mantissa &o) const {
            return mantissa == o.mantissa && power2 == o.power2;
        }
        bool operator!=(const adjusted_mantissa &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;

    constexpr static double powers_of_ten_double[] = {
        1e0,  1e1,  1e2,  1e3,  1e4,  1e5,  1e6,  1e7,  1e8,  1e9,  1e10, 1e11,
        1e12, 1e13, 1e14, 1e15, 1e16, 1e17, 1e18, 1e19, 1e20, 1e21, 1e22};
    constexpr static float powers_of_ten_float[] = {1e0, 1e1, 1e2, 1e3, 1e4, 1e5,
                                                    1e6, 1e7, 1e8, 1e9, 1e10};

    template <typename T> struct binary_format {
        using equiv_uint = typename std::conditional<sizeof(T) == 4, uint32_t, uint64_t>::type;

        static inline constexpr int mantissa_explicit_bits();
        static inline constexpr int minimum_exponent();
        static inline constexpr int infinite_power();
        static inline constexpr int sign_index();
        static inline constexpr int min_exponent_fast_path();
        static inline constexpr int max_exponent_fast_path();
        static inline constexpr int max_exponent_round_to_even();
        static inline constexpr int min_exponent_round_to_even();
        static inline constexpr uint64_t max_mantissa_fast_path();
        static inline constexpr int largest_power_of_ten();
        static inline constexpr int smallest_power_of_ten();
        static inline constexpr T exact_power_of_ten(int64_t power);
        static inline constexpr size_t max_digits();
        static inline constexpr equiv_uint exponent_mask();
        static inline constexpr equiv_uint mantissa_mask();
        static inline constexpr equiv_uint hidden_bit_mask();
    };

    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>::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>::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();
    }

    template <>
    inline constexpr double binary_format<double>::exact_power_of_ten(int64_t power) {
        return powers_of_ten_double[power];
    }
    template <>
    inline constexpr float binary_format<float>::exact_power_of_ten(int64_t power) {

        return powers_of_ten_float[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 -65;
    }

    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>
    fastfloat_really_inline void to_float(bool negative, adjusted_mantissa am, T &value) {
        uint64_t word = am.mantissa;
        word |= uint64_t(am.power2) << binary_format<T>::mantissa_explicit_bits();
        word = negative
               ? word | (uint64_t(1) << binary_format<T>::sign_index()) : word;
#if FASTFLOAT_IS_BIG_ENDIAN == 1
        if (std::is_same<T, float>::value) {
            ::memcpy(&value, (char *)&word + 4, sizeof(T)); // extract value at offset 4-7 if float on big-endian
        } else {
            ::memcpy(&value, &word, sizeof(T));
        }
#else
        // For little-endian systems:
        ::memcpy(&value, &word, sizeof(T));
#endif
    }

} // namespace fast_float

#endif

#ifndef FASTFLOAT_ASCII_NUMBER_H
#define FASTFLOAT_ASCII_NUMBER_H

#include <cctype>
#include <cstdint>
#include <cstring>
#include <iterator>


namespace fast_float {

    // Next function can be micro-optimized, but compilers are entirely
    // able to optimize it well.
    fastfloat_really_inline bool is_integer(char c)  noexcept  { return c >= '0' && c <= '9'; }

    fastfloat_really_inline 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;
    }

    fastfloat_really_inline uint64_t read_u64(const char *chars) {
        uint64_t val;
        ::memcpy(&val, chars, sizeof(uint64_t));
#if FASTFLOAT_IS_BIG_ENDIAN == 1
        // Need to read as-if the number was in little-endian order.
        val = byteswap(val);
#endif
        return val;
    }

    fastfloat_really_inline void write_u64(uint8_t *chars, uint64_t val) {
#if FASTFLOAT_IS_BIG_ENDIAN == 1
        // Need to read as-if the number was in little-endian order.
        val = byteswap(val);
#endif
        ::memcpy(chars, &val, sizeof(uint64_t));
    }

    // credit  @aqrit
    fastfloat_really_inline uint32_t  parse_eight_digits_unrolled(uint64_t val) {
        const uint64_t mask = 0x000000FF000000FF;
        const uint64_t mul1 = 0x000F424000000064; // 100 + (1000000ULL << 32)
        const uint64_t 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);
    }

    fastfloat_really_inline uint32_t parse_eight_digits_unrolled(const char *chars)  noexcept  {
        return parse_eight_digits_unrolled(read_u64(chars));
    }

    // credit @aqrit
    fastfloat_really_inline bool is_made_of_eight_digits_fast(uint64_t val)  noexcept  {
        return !((((val + 0x4646464646464646) | (val - 0x3030303030303030)) &
                  0x8080808080808080));
    }

    fastfloat_really_inline bool is_made_of_eight_digits_fast(const char *chars)  noexcept  {
        return is_made_of_eight_digits_fast(read_u64(chars));
    }

    typedef span<const char> byte_span;

    struct parsed_number_string {
        int64_t exponent{0};
        uint64_t mantissa{0};
        const char *lastmatch{nullptr};
        bool negative{false};
        bool valid{false};
        bool too_many_digits{false};
        // contains the range of the significant digits
        byte_span integer{};  // non-nullable
        byte_span fraction{}; // nullable
    };

    // Assuming that you use no more than 19 digits, this will
    // parse an ASCII string.
    fastfloat_really_inline
    parsed_number_string parse_number_string(const char *p, const char *pend, parse_options options) noexcept {
        const chars_format fmt = options.format;
        const char decimal_point = options.decimal_point;

        parsed_number_string answer;
        answer.valid = false;
        answer.too_many_digits = false;
        answer.negative = (*p == '-');
        if (*p == '-') { // C++17 20.19.3.(7.1) explicitly forbids '+' sign here
            ++p;
            if (p == pend) {
                return answer;
            }
            if (!is_integer(*p) && (*p != decimal_point)) { // a sign must be followed by an integer or the dot
                return answer;
            }
        }
        const char *const start_digits = p;

        uint64_t i = 0; // an unsigned int avoids signed overflows (which are bad)

        while ((std::distance(p, pend) >= 8) && is_made_of_eight_digits_fast(p)) {
            i = i * 100000000 + parse_eight_digits_unrolled(p); // in rare cases, this will overflow, but that's ok
            p += 8;
        }
        while ((p != pend) && is_integer(*p)) {
            // a multiplication by 10 is cheaper than an arbitrary integer
            // multiplication
            i = 10 * i +
                uint64_t(*p - '0'); // might overflow, we will handle the overflow later
            ++p;
        }
        const char *const end_of_integer_part = p;
        int64_t digit_count = int64_t(end_of_integer_part - start_digits);
        answer.integer = byte_span(start_digits, size_t(digit_count));
        int64_t exponent = 0;
        if ((p != pend) && (*p == decimal_point)) {
            ++p;
            const char* 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.
            while ((std::distance(p, pend) >= 8) && is_made_of_eight_digits_fast(p)) {
                i = i * 100000000 + parse_eight_digits_unrolled(p); // in rare cases, this will overflow, but that's ok
                p += 8;
            }
            while ((p != pend) && is_integer(*p)) {
                uint8_t digit = uint8_t(*p - '0');
                ++p;
                i = i * 10 + digit; // in rare cases, this will overflow, but that's ok
            }
            exponent = before - p;
            answer.fraction = byte_span(before, size_t(p - before));
            digit_count -= exponent;
        }
        // we must have encountered at least one integer!
        if (digit_count == 0) {
            return answer;
        }
        int64_t exp_number = 0;            // explicit exponential part
        if ((fmt & chars_format::scientific) && (p != pend) && (('e' == *p) || ('E' == *p))) {
            const char * location_of_e = p;
            ++p;
            bool neg_exp = false;
            if ((p != pend) && ('-' == *p)) {
                neg_exp = true;
                ++p;
            } else if ((p != pend) && ('+' == *p)) { // '+' on exponent is allowed by C++17 20.19.3.(7.1)
                ++p;
            }
            if ((p == pend) || !is_integer(*p)) {
                if(!(fmt & chars_format::fixed)) {
                    // We are in error.
                    return answer;
                }
                // Otherwise, we will be ignoring the 'e'.
                p = location_of_e;
            } else {
                while ((p != pend) && is_integer(*p)) {
                    uint8_t digit = uint8_t(*p - '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((fmt & chars_format::scientific) && !(fmt & chars_format::fixed)) { return answer; }
        }
        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.
            const char *start = start_digits;
            while ((start != pend) && (*start == '0' || *start == decimal_point)) {
                if(*start == '0') { digit_count --; }
                start++;
            }
            if (digit_count > 19) {
                answer.too_many_digits = true;
                // Let us start again, this time, avoiding overflows.
                // We don't need to check if is_integer, since we use the
                // pre-tokenized spans from above.
                i = 0;
                p = answer.integer.ptr;
                const char* int_end = p + answer.integer.len();
                const uint64_t minimal_nineteen_digit_integer{1000000000000000000};
                while((i < minimal_nineteen_digit_integer) && (p != int_end)) {
                    i = i * 10 + uint64_t(*p - '0');
                    ++p;
                }
                if (i >= minimal_nineteen_digit_integer) { // We have a big integers
                    exponent = end_of_integer_part - p + exp_number;
                } else { // We have a value with a fractional component.
                    p = answer.fraction.ptr;
                    const char* frac_end = p + answer.fraction.len();
                    while((i < minimal_nineteen_digit_integer) && (p != frac_end)) {
                        i = i * 10 + uint64_t(*p - '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;
    }

} // namespace fast_float

#endif

#ifndef FASTFLOAT_FAST_TABLE_H
#define FASTFLOAT_FAST_TABLE_H

#include <cstdint>

namespace fast_float {

    /**
 * When mapping numbers from decimal to binary,
 * we go from w * 10^q to m * 2^p but we have
 * 10^q = 5^q * 2^q, so effectively
 * we are trying to match
 * w * 2^q * 5^q to m * 2^p. Thus the powers of two
 * are not a concern since they can be represented
 * exactly using the binary notation, only the powers of five
 * affect the binary significand.
     */

    /**
 * The smallest non-zero float (binary64) is 2^−1074.
 * We take as input numbers of the form w x 10^q where w < 2^64.
 * We have that w * 10^-343  <  2^(64-344) 5^-343 < 2^-1076.
 * However, we have that
 * (2^64-1) * 10^-342 =  (2^64-1) * 2^-342 * 5^-342 > 2^−1074.
 * Thus it is possible for a number of the form w * 10^-342 where
 * w is a 64-bit value to be a non-zero floating-point number.
 *********
 * Any number of form w * 10^309 where w>= 1 is going to be
 * infinite in binary64 so we never need to worry about powers
 * of 5 greater than 308.
     */
    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.
        static const uint64_t power_of_five_128[number_of_entries];
    };

    template <class unused>
    const uint64_t powers_template<unused>::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,
        0xeba09271e88d976b,0xf7864a44c633682e,
        0x93445b8731587ea3,0x7ab3ee6afbe0211d,
        0xb8157268fdae9e4c,0x5960ea05bad82964,
        0xe61acf033d1a45df,0x6fb92487298e33bd,
        0x8fd0c16206306bab,0xa5d3b6d479f8e056,
        0xb3c4f1ba87bc8696,0x8f48a4899877186c,
        0xe0b62e2929aba83c,0x331acdabfe94de87,
        0x8c71dcd9ba0b4925,0x9ff0c08b7f1d0b14,
        0xaf8e5410288e1b6f,0x7ecf0ae5ee44dd9,
        0xdb71e91432b1a24a,0xc9e82cd9f69d6150,
        0x892731ac9faf056e,0xbe311c083a225cd2,
        0xab70fe17c79ac6ca,0x6dbd630a48aaf406,
        0xd64d3d9db981787d,0x92cbbccdad5b108,
        0x85f0468293f0eb4e,0x25bbf56008c58ea5,
        0xa76c582338ed2621,0xaf2af2b80af6f24e,
        0xd1476e2c07286faa,0x1af5af660db4aee1,
        0x82cca4db847945ca,0x50d98d9fc890ed4d,
        0xa37fce126597973c,0xe50ff107bab528a0,
        0xcc5fc196fefd7d0c,0x1e53ed49a96272c8,
        0xff77b1fcbebcdc4f,0x25e8e89c13bb0f7a,
        0x9faacf3df73609b1,0x77b191618c54e9ac,
        0xc795830d75038c1d,0xd59df5b9ef6a2417,
        0xf97ae3d0d2446f25,0x4b0573286b44ad1d,
        0x9becce62836ac577,0x4ee367f9430aec32,
        0xc2e801fb244576d5,0x229c41f793cda73f,
        0xf3a20279ed56d48a,0x6b43527578c1110f,
        0x9845418c345644d6,0x830a13896b78aaa9,
        0xbe5691ef416bd60c,0x23cc986bc656d553,
        0xedec366b11c6cb8f,0x2cbfbe86b7ec8aa8,
        0x94b3a202eb1c3f39,0x7bf7d71432f3d6a9,
        0xb9e08a83a5e34f07,0xdaf5ccd93fb0cc53,
        0xe858ad248f5c22c9,0xd1b3400f8f9cff68,
        0x91376c36d99995be,0x23100809b9c21fa1,
        0xb58547448ffffb2d,0xabd40a0c2832a78a,
        0xe2e69915b3fff9f9,0x16c90c8f323f516c,
        0x8dd01fad907ffc3b,0xae3da7d97f6792e3,
        0xb1442798f49ffb4a,0x99cd11cfdf41779c,
        0xdd95317f31c7fa1d,0x40405643d711d583,
        0x8a7d3eef7f1cfc52,0x482835ea666b2572,
        0xad1c8eab5ee43b66,0xda3243650005eecf,
        0xd863b256369d4a40,0x90bed43e40076a82,
        0x873e4f75e2224e68,0x5a7744a6e804a291,
        0xa90de3535aaae202,0x711515d0a205cb36,
        0xd3515c2831559a83,0xd5a5b44ca873e03,
        0x8412d9991ed58091,0xe858790afe9486c2,
        0xa5178fff668ae0b6,0x626e974dbe39a872,
        0xce5d73ff402d98e3,0xfb0a3d212dc8128f,
        0x80fa687f881c7f8e,0x7ce66634bc9d0b99,
        0xa139029f6a239f72,0x1c1fffc1ebc44e80,
        0xc987434744ac874e,0xa327ffb266b56220,
        0xfbe9141915d7a922,0x4bf1ff9f0062baa8,
        0x9d71ac8fada6c9b5,0x6f773fc3603db4a9,
        0xc4ce17b399107c22,0xcb550fb4384d21d3,
        0xf6019da07f549b2b,0x7e2a53a146606a48,
        0x99c102844f94e0fb,0x2eda7444cbfc426d,
        0xc0314325637a1939,0xfa911155fefb5308,
        0xf03d93eebc589f88,0x793555ab7eba27ca,
        0x96267c7535b763b5,0x4bc1558b2f3458de,
        0xbbb01b9283253ca2,0x9eb1aaedfb016f16,
        0xea9c227723ee8bcb,0x465e15a979c1cadc,
        0x92a1958a7675175f,0xbfacd89ec191ec9,
        0xb749faed14125d36,0xcef980ec671f667b,
        0xe51c79a85916f484,0x82b7e12780e7401a,
        0x8f31cc0937ae58d2,0xd1b2ecb8b0908810,
        0xb2fe3f0b8599ef07,0x861fa7e6dcb4aa15,
        0xdfbdcece67006ac9,0x67a791e093e1d49a,
        0x8bd6a141006042bd,0xe0c8bb2c5c6d24e0,
        0xaecc49914078536d,0x58fae9f773886e18,
        0xda7f5bf590966848,0xaf39a475506a899e,
        0x888f99797a5e012d,0x6d8406c952429603,
        0xaab37fd7d8f58178,0xc8e5087ba6d33b83,
        0xd5605fcdcf32e1d6,0xfb1e4a9a90880a64,
        0x855c3be0a17fcd26,0x5cf2eea09a55067f,
        0xa6b34ad8c9dfc06f,0xf42faa48c0ea481e,
        0xd0601d8efc57b08b,0xf13b94daf124da26,
        0x823c12795db6ce57,0x76c53d08d6b70858,
        0xa2cb1717b52481ed,0x54768c4b0c64ca6e,
        0xcb7ddcdda26da268,0xa9942f5dcf7dfd09,
        0xfe5d54150b090b02,0xd3f93b35435d7c4c,
        0x9efa548d26e5a6e1,0xc47bc5014a1a6daf,
        0xc6b8e9b0709f109a,0x359ab6419ca1091b,
        0xf867241c8cc6d4c0,0xc30163d203c94b62,
        0x9b407691d7fc44f8,0x79e0de63425dcf1d,
        0xc21094364dfb5636,0x985915fc12f542e4,
        0xf294b943e17a2bc4,0x3e6f5b7b17b2939d,
        0x979cf3ca6cec5b5a,0xa705992ceecf9c42,
        0xbd8430bd08277231,0x50c6ff782a838353,
        0xece53cec4a314ebd,0xa4f8bf5635246428,
        0x940f4613ae5ed136,0x871b7795e136be99,
        0xb913179899f68584,0x28e2557b59846e3f,
        0xe757dd7ec07426e5,0x331aeada2fe589cf,
        0x9096ea6f3848984f,0x3ff0d2c85def7621,
        0xb4bca50b065abe63,0xfed077a756b53a9,
        0xe1ebce4dc7f16dfb,0xd3e8495912c62894,
        0x8d3360f09cf6e4bd,0x64712dd7abbbd95c,
        0xb080392cc4349dec,0xbd8d794d96aacfb3,
        0xdca04777f541c567,0xecf0d7a0fc5583a0,
        0x89e42caaf9491b60,0xf41686c49db57244,
        0xac5d37d5b79b6239,0x311c2875c522ced5,
        0xd77485cb25823ac7,0x7d633293366b828b,
        0x86a8d39ef77164bc,0xae5dff9c02033197,
        0xa8530886b54dbdeb,0xd9f57f830283fdfc,
        0xd267caa862a12d66,0xd072df63c324fd7b,
        0x8380dea93da4bc60,0x4247cb9e59f71e6d,
        0xa46116538d0deb78,0x52d9be85f074e608,
        0xcd795be870516656,0x67902e276c921f8b,
        0x806bd9714632dff6,0xba1cd8a3db53b6,
        0xa086cfcd97bf97f3,0x80e8a40eccd228a4,
        0xc8a883c0fdaf7df0,0x6122cd128006b2cd,
        0xfad2a4b13d1b5d6c,0x796b805720085f81,
        0x9cc3a6eec6311a63,0xcbe3303674053bb0,
        0xc3f490aa77bd60fc,0xbedbfc4411068a9c,
        0xf4f1b4d515acb93b,0xee92fb5515482d44,
        0x991711052d8bf3c5,0x751bdd152d4d1c4a,
        0xbf5cd54678eef0b6,0xd262d45a78a0635d,
        0xef340a98172aace4,0x86fb897116c87c34,
        0x9580869f0e7aac0e,0xd45d35e6ae3d4da0,
        0xbae0a846d2195712,0x8974836059cca109,
        0xe998d258869facd7,0x2bd1a438703fc94b,
        0x91ff83775423cc06,0x7b6306a34627ddcf,
        0xb67f6455292cbf08,0x1a3bc84c17b1d542,
        0xe41f3d6a7377eeca,0x20caba5f1d9e4a93,
        0x8e938662882af53e,0x547eb47b7282ee9c,
        0xb23867fb2a35b28d,0xe99e619a4f23aa43,
        0xdec681f9f4c31f31,0x6405fa00e2ec94d4,
        0x8b3c113c38f9f37e,0xde83bc408dd3dd04,
        0xae0b158b4738705e,0x9624ab50b148d445,
        0xd98ddaee19068c76,0x3badd624dd9b0957,
        0x87f8a8d4cfa417c9,0xe54ca5d70a80e5d6,
        0xa9f6d30a038d1dbc,0x5e9fcf4ccd211f4c,
        0xd47487cc8470652b,0x7647c3200069671f,
        0x84c8d4dfd2c63f3b,0x29ecd9f40041e073,
        0xa5fb0a17c777cf09,0xf468107100525890,
        0xcf79cc9db955c2cc,0x7182148d4066eeb4,
        0x81ac1fe293d599bf,0xc6f14cd848405530,
        0xa21727db38cb002f,0xb8ada00e5a506a7c,
        0xca9cf1d206fdc03b,0xa6d90811f0e4851c,
        0xfd442e4688bd304a,0x908f4a166d1da663,
        0x9e4a9cec15763e2e,0x9a598e4e043287fe,
        0xc5dd44271ad3cdba,0x40eff1e1853f29fd,
        0xf7549530e188c128,0xd12bee59e68ef47c,
        0x9a94dd3e8cf578b9,0x82bb74f8301958ce,
        0xc13a148e3032d6e7,0xe36a52363c1faf01,
        0xf18899b1bc3f8ca1,0xdc44e6c3cb279ac1,
        0x96f5600f15a7b7e5,0x29ab103a5ef8c0b9,
        0xbcb2b812db11a5de,0x7415d448f6b6f0e7,
        0xebdf661791d60f56,0x111b495b3464ad21,
        0x936b9fcebb25c995,0xcab10dd900beec34,
        0xb84687c269ef3bfb,0x3d5d514f40eea742,
        0xe65829b3046b0afa,0xcb4a5a3112a5112,
        0x8ff71a0fe2c2e6dc,0x47f0e785eaba72ab,
        0xb3f4e093db73a093,0x59ed216765690f56,
        0xe0f218b8d25088b8,0x306869c13ec3532c,
        0x8c974f7383725573,0x1e414218c73a13fb,
        0xafbd2350644eeacf,0xe5d1929ef90898fa,
        0xdbac6c247d62a583,0xdf45f746b74abf39,
        0x894bc396ce5da772,0x6b8bba8c328eb783,
        0xab9eb47c81f5114f,0x66ea92f3f326564,
        0xd686619ba27255a2,0xc80a537b0efefebd,
        0x8613fd0145877585,0xbd06742ce95f5f36,
        0xa798fc4196e952e7,0x2c48113823b73704,
        0xd17f3b51fca3a7a0,0xf75a15862ca504c5,
        0x82ef85133de648c4,0x9a984d73dbe722fb,
        0xa3ab66580d5fdaf5,0xc13e60d0d2e0ebba,
        0xcc963fee10b7d1b3,0x318df905079926a8,
        0xffbbcfe994e5c61f,0xfdf17746497f7052,
        0x9fd561f1fd0f9bd3,0xfeb6ea8bedefa633,
        0xc7caba6e7c5382c8,0xfe64a52ee96b8fc0,
        0xf9bd690a1b68637b,0x3dfdce7aa3c673b0,
        0x9c1661a651213e2d,0x6bea10ca65c084e,
        0xc31bfa0fe5698db8,0x486e494fcff30a62,
        0xf3e2f893dec3f126,0x5a89dba3c3efccfa,
        0x986ddb5c6b3a76b7,0xf89629465a75e01c,
        0xbe89523386091465,0xf6bbb397f1135823,
        0xee2ba6c0678b597f,0x746aa07ded582e2c,
        0x94db483840b717ef,0xa8c2a44eb4571cdc,
        0xba121a4650e4ddeb,0x92f34d62616ce413,
        0xe896a0d7e51e1566,0x77b020baf9c81d17,
        0x915e2486ef32cd60,0xace1474dc1d122e,
        0xb5b5ada8aaff80b8,0xd819992132456ba,
        0xe3231912d5bf60e6,0x10e1fff697ed6c69,
        0x8df5efabc5979c8f,0xca8d3ffa1ef463c1,
        0xb1736b96b6fd83b3,0xbd308ff8a6b17cb2,
        0xddd0467c64bce4a0,0xac7cb3f6d05ddbde,
        0x8aa22c0dbef60ee4,0x6bcdf07a423aa96b,
        0xad4ab7112eb3929d,0x86c16c98d2c953c6,
        0xd89d64d57a607744,0xe871c7bf077ba8b7,
        0x87625f056c7c4a8b,0x11471cd764ad4972,
        0xa93af6c6c79b5d2d,0xd598e40d3dd89bcf,
        0xd389b47879823479,0x4aff1d108d4ec2c3,
        0x843610cb4bf160cb,0xcedf722a585139ba,
        0xa54394fe1eedb8fe,0xc2974eb4ee658828,
        0xce947a3da6a9273e,0x733d226229feea32,
        0x811ccc668829b887,0x806357d5a3f525f,
        0xa163ff802a3426a8,0xca07c2dcb0cf26f7,
        0xc9bcff6034c13052,0xfc89b393dd02f0b5,
        0xfc2c3f3841f17c67,0xbbac2078d443ace2,
        0x9d9ba7832936edc0,0xd54b944b84aa4c0d,
        0xc5029163f384a931,0xa9e795e65d4df11,
        0xf64335bcf065d37d,0x4d4617b5ff4a16d5,
        0x99ea0196163fa42e,0x504bced1bf8e4e45,
        0xc06481fb9bcf8d39,0xe45ec2862f71e1d6,
        0xf07da27a82c37088,0x5d767327bb4e5a4c,
        0x964e858c91ba2655,0x3a6a07f8d510f86f,
        0xbbe226efb628afea,0x890489f70a55368b,
        0xeadab0aba3b2dbe5,0x2b45ac74ccea842e,
        0x92c8ae6b464fc96f,0x3b0b8bc90012929d,
        0xb77ada0617e3bbcb,0x9ce6ebb40173744,
        0xe55990879ddcaabd,0xcc420a6a101d0515,
        0x8f57fa54c2a9eab6,0x9fa946824a12232d,
        0xb32df8e9f3546564,0x47939822dc96abf9,
        0xdff9772470297ebd,0x59787e2b93bc56f7,
        0x8bfbea76c619ef36,0x57eb4edb3c55b65a,
        0xaefae51477a06b03,0xede622920b6b23f1,
        0xdab99e59958885c4,0xe95fab368e45eced,
        0x88b402f7fd75539b,0x11dbcb0218ebb414,
        0xaae103b5fcd2a881,0xd652bdc29f26a119,
        0xd59944a37c0752a2,0x4be76d3346f0495f,
        0x857fcae62d8493a5,0x6f70a4400c562ddb,
        0xa6dfbd9fb8e5b88e,0xcb4ccd500f6bb952,
        0xd097ad07a71f26b2,0x7e2000a41346a7a7,
        0x825ecc24c873782f,0x8ed400668c0c28c8,
        0xa2f67f2dfa90563b,0x728900802f0f32fa,
        0xcbb41ef979346bca,0x4f2b40a03ad2ffb9,
        0xfea126b7d78186bc,0xe2f610c84987bfa8,
        0x9f24b832e6b0f436,0xdd9ca7d2df4d7c9,
        0xc6ede63fa05d3143,0x91503d1c79720dbb,
        0xf8a95fcf88747d94,0x75a44c6397ce912a,
        0x9b69dbe1b548ce7c,0xc986afbe3ee11aba,
        0xc24452da229b021b,0xfbe85badce996168,
        0xf2d56790ab41c2a2,0xfae27299423fb9c3,
        0x97c560ba6b0919a5,0xdccd879fc967d41a,
        0xbdb6b8e905cb600f,0x5400e987bbc1c920,
        0xed246723473e3813,0x290123e9aab23b68,
        0x9436c0760c86e30b,0xf9a0b6720aaf6521,
        0xb94470938fa89bce,0xf808e40e8d5b3e69,
        0xe7958cb87392c2c2,0xb60b1d1230b20e04,
        0x90bd77f3483bb9b9,0xb1c6f22b5e6f48c2,
        0xb4ecd5f01a4aa828,0x1e38aeb6360b1af3,
        0xe2280b6c20dd5232,0x25c6da63c38de1b0,
        0x8d590723948a535f,0x579c487e5a38ad0e,
        0xb0af48ec79ace837,0x2d835a9df0c6d851,
        0xdcdb1b2798182244,0xf8e431456cf88e65,
        0x8a08f0f8bf0f156b,0x1b8e9ecb641b58ff,
        0xac8b2d36eed2dac5,0xe272467e3d222f3f,
        0xd7adf884aa879177,0x5b0ed81dcc6abb0f,
        0x86ccbb52ea94baea,0x98e947129fc2b4e9,
        0xa87fea27a539e9a5,0x3f2398d747b36224,
        0xd29fe4b18e88640e,0x8eec7f0d19a03aad,
        0x83a3eeeef9153e89,0x1953cf68300424ac,
        0xa48ceaaab75a8e2b,0x5fa8c3423c052dd7,
        0xcdb02555653131b6,0x3792f412cb06794d,
        0x808e17555f3ebf11,0xe2bbd88bbee40bd0,
        0xa0b19d2ab70e6ed6,0x5b6aceaeae9d0ec4,
        0xc8de047564d20a8b,0xf245825a5a445275,
        0xfb158592be068d2e,0xeed6e2f0f0d56712,
        0x9ced737bb6c4183d,0x55464dd69685606b,
        0xc428d05aa4751e4c,0xaa97e14c3c26b886,
        0xf53304714d9265df,0xd53dd99f4b3066a8,
        0x993fe2c6d07b7fab,0xe546a8038efe4029,
        0xbf8fdb78849a5f96,0xde98520472bdd033,
        0xef73d256a5c0f77c,0x963e66858f6d4440,
        0x95a8637627989aad,0xdde7001379a44aa8,
        0xbb127c53b17ec159,0x5560c018580d5d52,
        0xe9d71b689dde71af,0xaab8f01e6e10b4a6,
        0x9226712162ab070d,0xcab3961304ca70e8,
        0xb6b00d69bb55c8d1,0x3d607b97c5fd0d22,
        0xe45c10c42a2b3b05,0x8cb89a7db77c506a,
        0x8eb98a7a9a5b04e3,0x77f3608e92adb242,
        0xb267ed1940f1c61c,0x55f038b237591ed3,
        0xdf01e85f912e37a3,0x6b6c46dec52f6688,
        0x8b61313bbabce2c6,0x2323ac4b3b3da015,
        0xae397d8aa96c1b77,0xabec975e0a0d081a,
        0xd9c7dced53c72255,0x96e7bd358c904a21,
        0x881cea14545c7575,0x7e50d64177da2e54,
        0xaa242499697392d2,0xdde50bd1d5d0b9e9,
        0xd4ad2dbfc3d07787,0x955e4ec64b44e864,
        0x84ec3c97da624ab4,0xbd5af13bef0b113e,
        0xa6274bbdd0fadd61,0xecb1ad8aeacdd58e,
        0xcfb11ead453994ba,0x67de18eda5814af2,
        0x81ceb32c4b43fcf4,0x80eacf948770ced7,
        0xa2425ff75e14fc31,0xa1258379a94d028d,
        0xcad2f7f5359a3b3e,0x96ee45813a04330,
        0xfd87b5f28300ca0d,0x8bca9d6e188853fc,
        0x9e74d1b791e07e48,0x775ea264cf55347e,
        0xc612062576589dda,0x95364afe032a819e,
        0xf79687aed3eec551,0x3a83ddbd83f52205,
        0x9abe14cd44753b52,0xc4926a9672793543,
        0xc16d9a0095928a27,0x75b7053c0f178294,
        0xf1c90080baf72cb1,0x5324c68b12dd6339,
        0x971da05074da7bee,0xd3f6fc16ebca5e04,
        0xbce5086492111aea,0x88f4bb1ca6bcf585,
        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,};
    using powers = powers_template<>;

}

#endif

#ifndef FASTFLOAT_DECIMAL_TO_BINARY_H
#define FASTFLOAT_DECIMAL_TO_BINARY_H

#include <cfloat>
#include <cinttypes>
#include <cmath>
#include <cstdint>
#include <cstdlib>
#include <cstring>

namespace 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>
    fastfloat_really_inline
    value128 compute_product_approximation(int64_t q, uint64_t w) {
        const int 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 {
        /**
 * For q in (0,350), we have that
 *  f = (((152170 + 65536) * q ) >> 16);
 * is equal to
 *   floor(p) + q
 * where
 *   p = log(5**q)/log(2) = q * log(5)/log(2)
 *
 * For negative values of q in (-400,0), we have that
 *  f = (((152170 + 65536) * q ) >> 16);
 * is equal to
 *   -ceil(p) + q
 * where
 *   p = log(5**-q)/log(2) = -q * log(5)/log(2)
         */
        constexpr 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>
    fastfloat_really_inline
    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>
    fastfloat_really_inline
    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);
    }

    // w * 10 ** q
    // The returned value should be a valid ieee64 number that simply need 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>
    fastfloat_really_inline
    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);
        if(product.low == 0xFFFFFFFFFFFFFFFF) { //  could guard it further
            // In some very rare cases, this could happen, in which case we might need a more accurate
            // computation that what we can provide cheaply. This is very, very unlikely.
            //
            const bool inside_safe_exponent = (q >= -27) && (q <= 55); // always good because 5**q <2**128 when q>=0,
            // and otherwise, for q<0, we have 5**-q<2**64 and the 128-bit reciprocal allows for exact computation.
            if(!inside_safe_exponent) {
                return compute_error_scaled<binary>(q, product.high, lz);
            }
        }
        // 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);

        answer.mantissa = product.high >> (upperbit + 64 - binary::mantissa_explicit_bits() - 3);

        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.
            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  << (upperbit + 64 - binary::mantissa_explicit_bits() - 3)) ==  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 fast_float

#endif

#ifndef FASTFLOAT_BIGINT_H
#define FASTFLOAT_BIGINT_H

#include <algorithm>
#include <cstdint>
#include <climits>
#include <cstring>


namespace 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(FASTFLOAT_64BIT) && !defined(__sparc)
#define FASTFLOAT_64BIT_LIMB
    typedef uint64_t limb;
    constexpr size_t limb_bits = 64;
#else
    #define 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(const stackvec &) = delete;
        stackvec &operator=(const stackvec &) = delete;
        stackvec(stackvec &&) = delete;
        stackvec &operator=(stackvec &&other) = delete;

        // create stack vector from existing limb span.
        stackvec(limb_span s) {
            FASTFLOAT_ASSERT(try_extend(s));
        }

        limb& operator[](size_t index) noexcept {
            FASTFLOAT_DEBUG_ASSERT(index < length);
            return data[index];
        }
        const limb& operator[](size_t index) const noexcept {
            FASTFLOAT_DEBUG_ASSERT(index < length);
            return data[index];
        }
        // index from the end of the container
        const limb& rindex(size_t index) const noexcept {
            FASTFLOAT_DEBUG_ASSERT(index < length);
            size_t rindex = length - index - 1;
            return data[rindex];
        }

        // set the length, without bounds checking.
        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
        void push_unchecked(limb value) noexcept {
            data[length] = value;
            length++;
        }
        // append item to vector, returning if item was added
        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
        void extend_unchecked(limb_span s) noexcept {
            limb* ptr = data + length;
            ::memcpy((void*)ptr, (const void*)s.ptr, sizeof(limb) * s.len());
            set_len(len() + s.len());
        }
        // try to add items to the vector, returning if items were added
        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.
        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.
        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.
        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.
        void normalize() noexcept {
            while (len() > 0 && rindex(0) == 0) {
                length--;
            }
        }
    };

    fastfloat_really_inline
    uint64_t empty_hi64(bool& truncated) noexcept {
        truncated = false;
        return 0;
    }

    fastfloat_really_inline
    uint64_t uint64_hi64(uint64_t r0, bool& truncated) noexcept {
        truncated = false;
        int shl = leading_zeroes(r0);
        return r0 << shl;
    }

    fastfloat_really_inline
    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);
        }
    }

    fastfloat_really_inline
    uint64_t uint32_hi64(uint32_t r0, bool& truncated) noexcept {
        return uint64_hi64(r0, truncated);
    }

    fastfloat_really_inline
    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);
    }

    fastfloat_really_inline
    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.
    fastfloat_really_inline
    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)
        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.
    fastfloat_really_inline
    limb scalar_mul(limb x, limb y, limb& carry) noexcept {
#ifdef 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 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) {
            FASTFLOAT_TRY(vec.try_push(carry));
        }
        return true;
    }

    // add scalar value to bigint.
    template <uint16_t size>
    fastfloat_really_inline 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 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) {
            FASTFLOAT_TRY(vec.try_push(carry));
        }
        return true;
    }

    // add bigint to bigint starting from index.
    // used in grade school multiplication
    template <uint16_t size>
    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) {
            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) {
            FASTFLOAT_TRY(small_add_from(x, 1, y.len() + start));
        }
        return true;
    }

    // add bigint to bigint.
    template <uint16_t size>
    fastfloat_really_inline 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>
    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];
            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);
                    FASTFLOAT_TRY(zi.try_extend(zs));
                    FASTFLOAT_TRY(small_mul(zi, yi));
                    limb_span zis = limb_span(zi.data, zi.len());
                    FASTFLOAT_TRY(large_add_from(x, zis, index));
                }
            }
        }

        x.normalize();
        return true;
    }

    // grade-school multiplication algorithm
    template <uint16_t size>
    bool large_mul(stackvec<size>& x, limb_span y) noexcept {
        if (y.len() == 1) {
            FASTFLOAT_TRY(small_mul(x, y[0]));
        } else {
            FASTFLOAT_TRY(long_mul(x, y));
        }
        return true;
    }

    // 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 {
        // storage of the limbs, in little-endian order.
        stackvec<bigint_limbs> vec;

        bigint(): vec() {}
        bigint(const bigint &) = delete;
        bigint &operator=(const bigint &) = delete;
        bigint(bigint &&) = delete;
        bigint &operator=(bigint &&other) = delete;

        bigint(uint64_t value): vec() {
#ifdef 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.
        uint64_t hi64(bool& truncated) const noexcept {
#ifdef 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.
        int compare(const bigint& 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.
        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
            FASTFLOAT_DEBUG_ASSERT(n != 0);
            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.
        bool shl_limbs(size_t n) noexcept {
            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;
                const limb* src = vec.data;
                ::memmove(dst, src, sizeof(limb) * 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.
        bool shl(size_t n) noexcept {
            size_t rem = n % limb_bits;
            size_t div = n / limb_bits;
            if (rem != 0) {
                FASTFLOAT_TRY(shl_bits(rem));
            }
            if (div != 0) {
                FASTFLOAT_TRY(shl_limbs(div));
            }
            return true;
        }

        // get the number of leading zeros in the bigint.
        int ctlz() const noexcept {
            if (vec.is_empty()) {
                return 0;
            } else {
#ifdef 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.
        int bit_length() const noexcept {
            int lz = ctlz();
            return int(limb_bits * vec.len()) - lz;
        }

        bool mul(limb y) noexcept {
            return small_mul(vec, y);
        }

        bool add(limb y) noexcept {
            return small_add(vec, y);
        }

        // multiply as if by 2 raised to a power.
        bool pow2(uint32_t exp) noexcept {
            return shl(exp);
        }

        // multiply as if by 5 raised to a power.
        bool pow5(uint32_t exp) noexcept {
            // multiply by a power of 5
            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 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
            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) {
                FASTFLOAT_TRY(large_mul(vec, large));
                exp -= large_step;
            }
#ifdef 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) {
                FASTFLOAT_TRY(small_mul(vec, max_native));
                exp -= small_step;
            }
            if (exp != 0) {
                FASTFLOAT_TRY(small_mul(vec, limb(small_power_of_5[exp])));
            }

            return true;
        }

        // multiply as if by 10 raised to a power.
        bool pow10(uint32_t exp) noexcept {
            FASTFLOAT_TRY(pow5(exp));
            return pow2(exp);
        }
    };

} // namespace fast_float

#endif

#ifndef FASTFLOAT_ASCII_NUMBER_H
#define FASTFLOAT_ASCII_NUMBER_H

#include <cctype>
#include <cstdint>
#include <cstring>
#include <iterator>


namespace fast_float {

    // Next function can be micro-optimized, but compilers are entirely
    // able to optimize it well.
    fastfloat_really_inline bool is_integer(char c)  noexcept  { return c >= '0' && c <= '9'; }

    fastfloat_really_inline 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;
    }

    fastfloat_really_inline uint64_t read_u64(const char *chars) {
        uint64_t val;
        ::memcpy(&val, chars, sizeof(uint64_t));
#if FASTFLOAT_IS_BIG_ENDIAN == 1
        // Need to read as-if the number was in little-endian order.
        val = byteswap(val);
#endif
        return val;
    }

    fastfloat_really_inline void write_u64(uint8_t *chars, uint64_t val) {
#if FASTFLOAT_IS_BIG_ENDIAN == 1
        // Need to read as-if the number was in little-endian order.
        val = byteswap(val);
#endif
        ::memcpy(chars, &val, sizeof(uint64_t));
    }

    // credit  @aqrit
    fastfloat_really_inline uint32_t  parse_eight_digits_unrolled(uint64_t val) {
        const uint64_t mask = 0x000000FF000000FF;
        const uint64_t mul1 = 0x000F424000000064; // 100 + (1000000ULL << 32)
        const uint64_t 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);
    }

    fastfloat_really_inline uint32_t parse_eight_digits_unrolled(const char *chars)  noexcept  {
        return parse_eight_digits_unrolled(read_u64(chars));
    }

    // credit @aqrit
    fastfloat_really_inline bool is_made_of_eight_digits_fast(uint64_t val)  noexcept  {
        return !((((val + 0x4646464646464646) | (val - 0x3030303030303030)) &
                  0x8080808080808080));
    }

    fastfloat_really_inline bool is_made_of_eight_digits_fast(const char *chars)  noexcept  {
        return is_made_of_eight_digits_fast(read_u64(chars));
    }

    typedef span<const char> byte_span;

    struct parsed_number_string {
        int64_t exponent{0};
        uint64_t mantissa{0};
        const char *lastmatch{nullptr};
        bool negative{false};
        bool valid{false};
        bool too_many_digits{false};
        // contains the range of the significant digits
        byte_span integer{};  // non-nullable
        byte_span fraction{}; // nullable
    };

    // Assuming that you use no more than 19 digits, this will
    // parse an ASCII string.
    fastfloat_really_inline
        parsed_number_string parse_number_string(const char *p, const char *pend, parse_options options) noexcept {
        const chars_format fmt = options.format;
        const char decimal_point = options.decimal_point;

        parsed_number_string answer;
        answer.valid = false;
        answer.too_many_digits = false;
        answer.negative = (*p == '-');
        if (*p == '-') { // C++17 20.19.3.(7.1) explicitly forbids '+' sign here
            ++p;
            if (p == pend) {
                return answer;
            }
            if (!is_integer(*p) && (*p != decimal_point)) { // a sign must be followed by an integer or the dot
                return answer;
            }
        }
        const char *const start_digits = p;

        uint64_t i = 0; // an unsigned int avoids signed overflows (which are bad)

        while ((std::distance(p, pend) >= 8) && is_made_of_eight_digits_fast(p)) {
            i = i * 100000000 + parse_eight_digits_unrolled(p); // in rare cases, this will overflow, but that's ok
            p += 8;
        }
        while ((p != pend) && is_integer(*p)) {
            // a multiplication by 10 is cheaper than an arbitrary integer
            // multiplication
            i = 10 * i +
                uint64_t(*p - '0'); // might overflow, we will handle the overflow later
            ++p;
        }
        const char *const end_of_integer_part = p;
        int64_t digit_count = int64_t(end_of_integer_part - start_digits);
        answer.integer = byte_span(start_digits, size_t(digit_count));
        int64_t exponent = 0;
        if ((p != pend) && (*p == decimal_point)) {
            ++p;
            const char* 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.
            while ((std::distance(p, pend) >= 8) && is_made_of_eight_digits_fast(p)) {
                i = i * 100000000 + parse_eight_digits_unrolled(p); // in rare cases, this will overflow, but that's ok
                p += 8;
            }
            while ((p != pend) && is_integer(*p)) {
                uint8_t digit = uint8_t(*p - '0');
                ++p;
                i = i * 10 + digit; // in rare cases, this will overflow, but that's ok
            }
            exponent = before - p;
            answer.fraction = byte_span(before, size_t(p - before));
            digit_count -= exponent;
        }
        // we must have encountered at least one integer!
        if (digit_count == 0) {
            return answer;
        }
        int64_t exp_number = 0;            // explicit exponential part
        if ((fmt & chars_format::scientific) && (p != pend) && (('e' == *p) || ('E' == *p))) {
            const char * location_of_e = p;
            ++p;
            bool neg_exp = false;
            if ((p != pend) && ('-' == *p)) {
                neg_exp = true;
                ++p;
            } else if ((p != pend) && ('+' == *p)) { // '+' on exponent is allowed by C++17 20.19.3.(7.1)
                ++p;
            }
            if ((p == pend) || !is_integer(*p)) {
                if(!(fmt & chars_format::fixed)) {
                    // We are in error.
                    return answer;
                }
                // Otherwise, we will be ignoring the 'e'.
                p = location_of_e;
            } else {
                while ((p != pend) && is_integer(*p)) {
                    uint8_t digit = uint8_t(*p - '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((fmt & chars_format::scientific) && !(fmt & chars_format::fixed)) { return answer; }
        }
        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.
            const char *start = start_digits;
            while ((start != pend) && (*start == '0' || *start == decimal_point)) {
                if(*start == '0') { digit_count --; }
                start++;
            }
            if (digit_count > 19) {
                answer.too_many_digits = true;
                // Let us start again, this time, avoiding overflows.
                // We don't need to check if is_integer, since we use the
                // pre-tokenized spans from above.
                i = 0;
                p = answer.integer.ptr;
                const char* int_end = p + answer.integer.len();
                const uint64_t minimal_nineteen_digit_integer{1000000000000000000};
                while((i < minimal_nineteen_digit_integer) && (p != int_end)) {
                    i = i * 10 + uint64_t(*p - '0');
                    ++p;
                }
                if (i >= minimal_nineteen_digit_integer) { // We have a big integers
                    exponent = end_of_integer_part - p + exp_number;
                } else { // We have a value with a fractional component.
                    p = answer.fraction.ptr;
                    const char* frac_end = p + answer.fraction.len();
                    while((i < minimal_nineteen_digit_integer) && (p != frac_end)) {
                        i = i * 10 + uint64_t(*p - '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;
    }

} // namespace fast_float

#endif

#ifndef FASTFLOAT_DIGIT_COMPARISON_H
#define FASTFLOAT_DIGIT_COMPARISON_H

#include <algorithm>
#include <cstdint>
#include <cstring>
#include <iterator>


namespace 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.
    fastfloat_really_inline int32_t scientific_exponent(parsed_number_string& num) noexcept {
        uint64_t mantissa = num.mantissa;
        int32_t exponent = int32_t(num.exponent);
        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>
    fastfloat_really_inline adjusted_mantissa to_extended(T value) noexcept {
        using equiv_uint = typename binary_format<T>::equiv_uint;
        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;
        ::memcpy(&bits, &value, sizeof(T));
        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>
    fastfloat_really_inline 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>
    fastfloat_really_inline 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, std::min(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>
    fastfloat_really_inline
    void round_nearest_tie_even(adjusted_mantissa& am, int32_t shift, callback cb) noexcept {
        uint64_t mask;
        uint64_t halfway;
        if (shift == 64) {
            mask = UINT64_MAX;
        } else {
            mask = (uint64_t(1) << shift) - 1;
        }
        if (shift == 0) {
            halfway = 0;
        } else {
            halfway = uint64_t(1) << (shift - 1);
        }
        uint64_t truncated_bits = am.mantissa & mask;
        uint64_t is_above = truncated_bits > halfway;
        uint64_t 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));
    }

    fastfloat_really_inline void round_down(adjusted_mantissa& am, int32_t shift) noexcept {
        if (shift == 64) {
            am.mantissa = 0;
        } else {
            am.mantissa >>= shift;
        }
        am.power2 += shift;
    }

    fastfloat_really_inline void skip_zeros(const char*& first, const char* last) noexcept {
        uint64_t val;
        while (std::distance(first, last) >= 8) {
            ::memcpy(&val, first, sizeof(uint64_t));
            if (val != 0x3030303030303030) {
                break;
            }
            first += 8;
        }
        while (first != last) {
            if (*first != '0') {
                break;
            }
            first++;
        }
    }

    // determine if any non-zero digits were truncated.
    // all characters must be valid digits.
    fastfloat_really_inline bool is_truncated(const char* first, const char* last) noexcept {
        // do 8-bit optimizations, can just compare to 8 literal 0s.
        uint64_t val;
        while (std::distance(first, last) >= 8) {
            ::memcpy(&val, first, sizeof(uint64_t));
            if (val != 0x3030303030303030) {
                return true;
            }
            first += 8;
        }
        while (first != last) {
            if (*first != '0') {
                return true;
            }
            first++;
        }
        return false;
    }

    fastfloat_really_inline bool is_truncated(byte_span s) noexcept {
        return is_truncated(s.ptr, s.ptr + s.len());
    }

    fastfloat_really_inline
    void parse_eight_digits(const char*& p, limb& value, size_t& counter, size_t& count) noexcept {
        value = value * 100000000 + parse_eight_digits_unrolled(p);
        p += 8;
        counter += 8;
        count += 8;
    }

    fastfloat_really_inline
    void parse_one_digit(const char*& p, limb& value, size_t& counter, size_t& count) noexcept {
        value = value * 10 + limb(*p - '0');
        p++;
        counter++;
        count++;
    }

    fastfloat_really_inline
    void add_native(bigint& big, limb power, limb value) noexcept {
        big.mul(power);
        big.add(value);
    }

    fastfloat_really_inline 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
    inline void parse_mantissa(bigint& result, parsed_number_string& 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 FASTFLOAT_64BIT_LIMB
        size_t step = 19;
#else
        size_t step = 9;
#endif

        // process all integer digits.
        const char* p = num.integer.ptr;
        const char* 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 adjusted_mantissa positive_digit_comp(bigint& bigmant, int32_t exponent) noexcept {
        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 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) {
            FASTFLOAT_ASSERT(theor_digits.pow5(pow5_exp));
        }
        if (pow2_exp > 0) {
            FASTFLOAT_ASSERT(theor_digits.pow2(uint32_t(pow2_exp)));
        } else if (pow2_exp < 0) {
            FASTFLOAT_ASSERT(real_digits.pow2(uint32_t(-pow2_exp)));
        }

        // compare digits, and use it to director 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 {
                (void)_;  // not needed, since we've done our comparison
                (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
    // 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>
    inline adjusted_mantissa digit_comp(parsed_number_string& num, adjusted_mantissa am) noexcept {
        // remove the invalid exponent bias
        am.power2 -= invalid_am_bias;

        int32_t sci_exp = scientific_exponent(num);
        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 fast_float

#endif

#ifndef FASTFLOAT_PARSE_NUMBER_H
#define FASTFLOAT_PARSE_NUMBER_H


#include <cmath>
#include <cstring>
#include <limits>
#include <system_error>

namespace fast_float {


    namespace detail {
        /**
 * Special case +inf, -inf, nan, infinity, -infinity.
 * The case comparisons could be made much faster given that we know that the
 * strings a null-free and fixed.
 **/
        template <typename T>
        from_chars_result parse_infnan(const char *first, const char *last, T &value)  noexcept  {
            from_chars_result answer;
            answer.ptr = first;
            answer.ec = std::errc(); // be optimistic
            bool minusSign = false;
            if (*first == '-') { // assume first < last, so dereference without checks; C++17 20.19.3.(7.1) explicitly forbids '+' here
                minusSign = true;
                ++first;
            }
            if (last - first >= 3) {
                if (fastfloat_strncasecmp(first, "nan", 3)) {
                    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 == '(') {
                        for(const char* ptr = first + 1; ptr != last; ++ptr) {
                            if (*ptr == ')') {
                                answer.ptr = ptr + 1; // valid nan(n-char-seq-opt)
                                break;
                            }
                            else if(!(('a' <= *ptr && *ptr <= 'z') || ('A' <= *ptr && *ptr <= 'Z') || ('0' <= *ptr && *ptr <= '9') || *ptr == '_'))
                                break; // forbidden char, not nan(n-char-seq-opt)
                        }
                    }
                    return answer;
                }
                if (fastfloat_strncasecmp(first, "inf", 3)) {
                    if ((last - first >= 8) && fastfloat_strncasecmp(first + 3, "inity", 5)) {
                        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;
        }

    } // namespace detail

    template<typename T>
    from_chars_result from_chars(const char *first, const char *last,
                                 T &value, chars_format fmt /*= chars_format::general*/)  noexcept  {
        return from_chars_advanced(first, last, value, parse_options{fmt});
    }

    template<typename T>
    from_chars_result from_chars_advanced(const char *first, const char *last,
                                          T &value, parse_options options)  noexcept  {

        static_assert (std::is_same<T, double>::value || std::is_same<T, float>::value, "only float and double are supported");


        from_chars_result answer;
        if (first == last) {
            answer.ec = std::errc::invalid_argument;
            answer.ptr = first;
            return answer;
        }
        parsed_number_string pns = parse_number_string(first, last, options);
        if (!pns.valid) {
            return detail::parse_infnan(first, last, value);
        }
        answer.ec = std::errc(); // be optimistic
        answer.ptr = pns.lastmatch;
        // Next is Clinger's fast path.
        if (binary_format<T>::min_exponent_fast_path() <= pns.exponent && pns.exponent <= binary_format<T>::max_exponent_fast_path() && pns.mantissa <=binary_format<T>::max_mantissa_fast_path() && !pns.too_many_digits) {
            value = T(pns.mantissa);
            if (pns.exponent < 0) { value = value / binary_format<T>::exact_power_of_ten(-pns.exponent); }
            else { value = value * binary_format<T>::exact_power_of_ten(pns.exponent); }
            if (pns.negative) { value = -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);
        return answer;
    }

} // namespace fast_float

#endif