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Author SHA1 Message Date
Niels Lohmann 31789f51cf Find the stop byte of a string run without a byte loop
find_string_special() and find_ascii_copyable_run() test eight bytes at a
time, but located the stopping byte inside a word with a byte loop. The
lowest flagged byte of the SWAR tests is always a true hit (the borrows of
the subtractions can only flag bytes above one), so its index is now the
trailing-zero count of the mask; words are read in little-endian order on
every platform, so this does not depend on the byte order.
scalar_string_bulk_run() validates a run of multi-byte UTF-8 sequences one
after another instead of searching for the next special byte in between,
which helps text in non-Latin scripts.

The kernels serve the lexer's contiguous fast path, the serializer, and the
binary formats. New tests compare all three with byte-by-byte reference
scans on 100,000 generated buffers at three alignments; the portable
fallback of count_trailing_zeros() was checked against the builtin.

Signed-off-by: Niels Lohmann <mail@nlohmann.me>
2026-09-29 03:49:26 +02:00
Niels Lohmann f295970fb6 Convert floats with Eisel-Lemire when std::from_chars is unavailable
Float tokens that Clinger's fast path cannot convert (e.g. the 17-digit
coordinates of canada.json) went to strtod unless std::from_chars was
available. It is not used in C++11/14, and not with libc++, which does not
define __cpp_lib_to_chars. The Eisel-Lemire algorithm (after fast_float's
compute_float) now converts them with integer arithmetic, correctly rounded
for any token with at most 19 significant digits. Longer tokens are
truncated; the result is used if w and w + 1 round alike, else strtod
decides as before. Overflow still yields infinity (out_of_range.406).

The table of powers of five (fast_float's) lives in pow5_table.hpp; a unit
test recomputes every entry with big-integer arithmetic. Further tests:
known values generated with Python (whose float() is correctly rounded),
200,000 round trips through to_chars, and the 128-bit multiplication and
leading-zero count against big-integer references (both with and without a
128-bit type). Checked against strtod on 6.5 million tokens, among them
60,000 exact halfway cases: no difference.

json::parse on canada.json: -8.6% (C++11), -7.6% (C++17, Apple clang);
other files unchanged. Compile time of a TU including json.hpp: +0.7%.

Signed-off-by: Niels Lohmann <mail@nlohmann.me>
2026-09-29 03:49:25 +02:00
Niels Lohmann f6c115a9a6 Move the float conversion chain out of the lexer
lexer::convert_number() converted float tokens with std::from_chars (when
available), Clinger's fast path, and the locale-aware strtod fallback, all
as lexer members. They are now free functions in number_parse.hpp:

- convert_float_fast(): std::from_chars, then Clinger's fast path, skipped
  when the mantissa has too many significant digits
- convert_float_locale_aware(): strtof/strtod/strtold with the decimal point
  of the current locale, retried when the locale changed (#5198)

so that other code converting JSON number tokens gets the same values. No
change in behavior; the lexer no longer includes <clocale> and <cstdlib>.

Signed-off-by: Niels Lohmann <mail@nlohmann.me>
2026-09-29 03:49:24 +02:00
Niels Lohmann 33ef25099d Keep external headers as #include when amalgamating
A header that builds on json.hpp (such as the planned json_view.hpp) must
not inline json.hpp: its single-header version would contain a second copy
of the library, and that copy would change with every library change.

The optional config key "external" lists include paths that are kept as
#include directives. Only the first directive per path is kept; repeated
ones are commented out, as the tool already does for inlined headers.
config_json_view.json uses it for json_view.hpp; the existing configs do
not set it, and json.hpp and json_fwd.hpp regenerate byte-identically.

Signed-off-by: Niels Lohmann <mail@nlohmann.me>
2026-09-29 03:49:24 +02:00
14 changed files with 2603 additions and 367 deletions
+2
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@@ -21,6 +21,7 @@ cc_library(
"include/nlohmann/adl_serializer.hpp",
"include/nlohmann/byte_container_with_subtype.hpp",
"include/nlohmann/detail/abi_macros.hpp",
"include/nlohmann/detail/bit_ops.hpp",
"include/nlohmann/detail/conversions/from_json.hpp",
"include/nlohmann/detail/conversions/to_chars.hpp",
"include/nlohmann/detail/conversions/to_json.hpp",
@@ -33,6 +34,7 @@ cc_library(
"include/nlohmann/detail/input/number_parse.hpp",
"include/nlohmann/detail/input/parser.hpp",
"include/nlohmann/detail/input/position_t.hpp",
"include/nlohmann/detail/input/pow5_table.hpp",
"include/nlohmann/detail/input/string_scan.hpp",
"include/nlohmann/detail/iterators/internal_iterator.hpp",
"include/nlohmann/detail/iterators/iter_impl.hpp",
+1
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@@ -1395,6 +1395,7 @@ THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR I
- The class contains a slightly modified version of the Grisu2 algorithm from Florian Loitsch which is licensed under the [MIT License](https://opensource.org/licenses/MIT) (see above). Copyright &copy; 2009 [Florian Loitsch](https://florian.loitsch.com/)
- The class contains a copy of [Hedley](https://nemequ.github.io/hedley/) from Evan Nemerson which is licensed as [CC0-1.0](https://creativecommons.org/publicdomain/zero/1.0/).
- The class contains parts of [Google Abseil](https://github.com/abseil/abseil-cpp) which is licensed under the [Apache 2.0 License](https://opensource.org/licenses/Apache-2.0).
- The class contains an adapted version of the Eisel-Lemire algorithm and its table of powers of five from [fast_float](https://github.com/fastfloat/fast_float) by Daniel Lemire and contributors, which is available under the [MIT License](https://opensource.org/licenses/MIT) (used here), the Apache 2.0 License, and the Boost Software License. Copyright &copy; 2021 The fast_float authors
<img align="right" src="https://git.fsfe.org/reuse/reuse-ci/raw/branch/master/reuse-horizontal.png" alt="REUSE Software">
+2
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@@ -19,3 +19,5 @@ The class contains the UTF-8 Decoder from Bjoern Hoehrmann which is licensed und
The class contains a slightly modified version of the Grisu2 algorithm from Florian Loitsch which is licensed under the [MIT License](https://opensource.org/licenses/MIT) (see above). Copyright &copy; 2009 [Florian Loitsch](https://florian.loitsch.com/)
The class contains a copy of [Hedley](https://nemequ.github.io/hedley/) from Evan Nemerson which is licensed as [CC0-1.0](https://creativecommons.org/publicdomain/zero/1.0/).
The class contains an adapted version of the Eisel-Lemire algorithm and its table of powers of five from [fast_float](https://github.com/fastfloat/fast_float) by Daniel Lemire and contributors, which is available under the [MIT License](https://opensource.org/licenses/MIT) (used here), the Apache 2.0 License, and the Boost Software License. Copyright &copy; 2021 The fast_float authors
+105
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@@ -0,0 +1,105 @@
// __ _____ _____ _____
// __| | __| | | | JSON for Modern C++
// | | |__ | | | | | | version 3.12.0
// |_____|_____|_____|_|___| https://github.com/nlohmann/json
//
// SPDX-FileCopyrightText: 2013-2026 Niels Lohmann <https://nlohmann.me>
// SPDX-License-Identifier: MIT
#pragma once
#include <cstdint> // uint64_t
#include <nlohmann/detail/abi_macros.hpp>
// Portable bit-level helpers for the number and string scanners. They use
// compiler builtins where available and plain C++ otherwise, so they need no
// platform headers and work regardless of byte order.
NLOHMANN_JSON_NAMESPACE_BEGIN
namespace detail
{
/// number of leading zero bits of x (x != 0)
inline int count_leading_zeros(std::uint64_t x) noexcept
{
#if defined(__GNUC__) || defined(__clang__)
return __builtin_clzll(x);
#else
int n = 0;
for (int shift = 32; shift != 0; shift >>= 1)
{
if ((x >> (64 - shift)) == 0)
{
n += shift;
x <<= shift;
}
}
return n;
#endif
}
/// number of trailing zero bits of x (x != 0)
inline int count_trailing_zeros(std::uint64_t x) noexcept
{
#if defined(__GNUC__) || defined(__clang__)
return __builtin_ctzll(x);
#else
int n = 0;
for (int shift = 32; shift != 0; shift >>= 1)
{
if ((x << (64 - shift)) == 0)
{
n += shift;
x >>= shift;
}
}
return n;
#endif
}
/// the 128-bit product of two 64-bit numbers
struct uint128_parts
{
std::uint64_t low;
std::uint64_t high;
};
inline uint128_parts full_multiplication(std::uint64_t a, std::uint64_t b) noexcept
{
#if defined(__SIZEOF_INT128__)
__extension__ using uint128 = unsigned __int128;
const uint128 r = static_cast<uint128>(a) * b;
return {static_cast<std::uint64_t>(r), static_cast<std::uint64_t>(r >> 64u)};
#else
const std::uint64_t a_lo = a & 0xFFFFFFFFu;
const std::uint64_t a_hi = a >> 32u;
const std::uint64_t b_lo = b & 0xFFFFFFFFu;
const std::uint64_t b_hi = b >> 32u;
const std::uint64_t lo_lo = a_lo * b_lo;
const std::uint64_t hi_lo = a_hi * b_lo;
const std::uint64_t lo_hi = a_lo * b_hi;
const std::uint64_t hi_hi = a_hi * b_hi;
const std::uint64_t cross = (lo_lo >> 32u) + (hi_lo & 0xFFFFFFFFu) + lo_hi;
return {(cross << 32u) | (lo_lo & 0xFFFFFFFFu), (hi_lo >> 32u) + (cross >> 32u) + hi_hi};
#endif
}
/// eight bytes as a little-endian word (compilers fold this into one load on
/// little-endian targets)
inline std::uint64_t read_eight_bytes(const unsigned char* b) noexcept
{
return static_cast<std::uint64_t>(b[0]) | (static_cast<std::uint64_t>(b[1]) << 8u)
| (static_cast<std::uint64_t>(b[2]) << 16u) | (static_cast<std::uint64_t>(b[3]) << 24u)
| (static_cast<std::uint64_t>(b[4]) << 32u) | (static_cast<std::uint64_t>(b[5]) << 40u)
| (static_cast<std::uint64_t>(b[6]) << 48u) | (static_cast<std::uint64_t>(b[7]) << 56u);
}
/// eight bytes as a little-endian word
inline std::uint64_t read_eight_bytes(const char* p) noexcept
{
return read_eight_bytes(reinterpret_cast<const unsigned char*>(p)); // NOLINT(cppcoreguidelines-pro-type-reinterpret-cast)
}
} // namespace detail
NLOHMANN_JSON_NAMESPACE_END
+4 -151
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@@ -9,10 +9,8 @@
#pragma once
#include <array> // array
#include <clocale> // localeconv
#include <cstddef> // size_t
#include <cstdio> // snprintf
#include <cstdlib> // strtof, strtod, strtold, strtoll, strtoull
#include <initializer_list> // initializer_list
#include <string> // char_traits, string
#include <utility> // move
@@ -217,18 +215,6 @@ class lexer : public lexer_base<BasicJsonType>
~lexer() = default;
private:
/////////////////////
// locales
/////////////////////
/// return the decimal point of the current locale
static char get_decimal_point() noexcept
{
const auto* loc = localeconv();
JSON_ASSERT(loc != nullptr);
return (loc->decimal_point == nullptr) ? '.' : *(loc->decimal_point);
}
/////////////////////
// scan functions
/////////////////////
@@ -1036,24 +1022,6 @@ class lexer : public lexer_base<BasicJsonType>
}
}
JSON_HEDLEY_NON_NULL(2)
static void strtof(float& f, const char* str, char** endptr) noexcept
{
f = std::strtof(str, endptr);
}
JSON_HEDLEY_NON_NULL(2)
static void strtof(double& f, const char* str, char** endptr) noexcept
{
f = std::strtod(str, endptr);
}
JSON_HEDLEY_NON_NULL(2)
static void strtof(long double& f, const char* str, char** endptr) noexcept
{
f = std::strtold(str, endptr);
}
/*!
@brief scan a number literal
@@ -1093,7 +1061,7 @@ class lexer : public lexer_base<BasicJsonType>
@note The scanner is independent of the current locale: token_buffer
always holds `.`. Only the std::strtod fallback of convert_number()
depends on the locale, and it looks up the decimal point right
before converting (see convert_float_locale_aware()).
before converting (see detail::convert_float_locale_aware()).
*/
token_type scan_number() // lgtm [cpp/use-of-goto] `goto` is used in this function to implement the number-parsing state machine described above. By design, any finite input will eventually reach the "done" state or return token_type::parse_error. In each intermediate state, 1 byte of the input is appended to the token_buffer vector, and only the already initialized variables token_buffer, number_type, and error_message are manipulated.
{
@@ -1424,59 +1392,6 @@ scan_number_done:
return token_type::uninitialized;
}
/*!
@brief check whether Clinger's fast path can still succeed for this token
parse_float_fast() needs a significand below 2^53. A mantissa with 17 or
more significant digits is at least 10^16 and therefore always exceeds it,
so calling the fast path would walk the token one extra time only to
decline before strtod has to run anyway.
Significant digits are the mantissa's digits from the first nonzero one on;
the sign, the decimal point, leading zeros, and the exponent do not count.
The answer is derived from indices - the digits are not scanned again - so
this stays off the hot path of the number scanners.
@param[in] mantissa_end offset just past the last mantissa byte in
token_buffer
@return false if parse_float_fast() is guaranteed to decline
*/
bool mantissa_fits_clinger(std::size_t mantissa_end) const
{
// 10^16 already exceeds 2^53, so 17 digits can never fit
constexpr std::size_t limit = 17;
const std::size_t neg = (!token_buffer.empty() && token_buffer[0] == '-') ? 1u : 0u;
const std::size_t has_dot = (decimal_point_position != std::string::npos) ? 1u : 0u;
// the JSON grammar restricts the integer part to "0" or [1-9][0-9]*, so
// a leading zero can only be a lone "0", which is not significant
const std::size_t lead_zero = (token_buffer[neg] == '0') ? 1u : 0u;
JSON_ASSERT(mantissa_end >= neg + has_dot + lead_zero);
std::size_t digits = mantissa_end - neg - has_dot - lead_zero;
if (JSON_HEDLEY_LIKELY(digits < limit))
{
return true;
}
// Only a number below 1 can carry further insignificant zeros, and only
// while the count stays at the limit does removing them change the
// answer - so this loop is skipped for all but a few tokens. The
// fraction is located through decimal_point_position rather than by
// searching '.'.
if (lead_zero != 0)
{
JSON_ASSERT(has_dot != 0); // an integer "0" cannot reach the limit
for (std::size_t i = decimal_point_position + 1;
digits >= limit && i < mantissa_end && token_buffer[i] == '0'; ++i)
{
--digits;
}
}
return digits < limit;
}
/*!
@brief convert the number text in token_buffer to its value and token type
@@ -1490,7 +1405,7 @@ scan_number_done:
token_buffer (the index of 'e'/'E', or
token_buffer.size() when there is no exponent);
used to skip Clinger's fast path when it cannot
possibly succeed - see mantissa_fits_clinger()
possibly succeed - see detail::mantissa_fits_clinger()
*/
token_type convert_number(token_type number_type, std::size_t mantissa_end)
{
@@ -1563,77 +1478,15 @@ scan_number_done:
// (Eisel-Lemire, locale-independent, correctly rounded) when available;
// otherwise the exact Clinger fast path (double only); otherwise the
// locale-aware strtof/strtod/strtold.
if (parse_float_from_chars(num_begin, num_end, value_float))
{
return token_type::value_float;
}
// Skipping a fast path that cannot succeed is lossless and saves a full
// extra pass over the token's bytes, which otherwise shows up on
// high-precision inputs such as canada.json
if (mantissa_fits_clinger(mantissa_end)
&& parse_float_fast(num_begin, num_end, value_float))
if (convert_float_fast(num_begin, num_end, decimal_point_position, mantissa_end, value_float))
{
return token_type::value_float;
}
convert_float_locale_aware();
convert_float_locale_aware(token_buffer, decimal_point_position, value_float);
return token_type::value_float;
}
/*!
@brief convert the float in token_buffer with strtof/strtod/strtold
These functions expect the decimal point of the *current* locale, so it is
looked up right before the conversion instead of once when the lexer is
constructed: a locale change in between (by a parser callback, a SAX
handler, or another thread) must not truncate the value (#5198). The
token has been validated before, so if the conversion stops early and the
decimal point changed in the meantime, the locale changed between the
lookup and the call, and the conversion is repeated with the new decimal
point. If the decimal point did not change, a retry cannot succeed: the
locale's decimal point is not a single character (e.g., the two-byte
U+066B of ar_EG.UTF-8 or fa_IR.UTF-8) and cannot be substituted in place.
The value strtod parsed up to that point is kept, as before this change.
Note that changing the locale in another thread *while* strtod runs is
undefined behavior of the C library, which this function cannot prevent.
*/
void convert_float_locale_aware()
{
const bool has_dot = decimal_point_position != std::string::npos;
char decimal_point = get_decimal_point();
for (;;)
{
const bool substitute = has_dot && decimal_point != '.';
if (substitute)
{
token_buffer[decimal_point_position] = static_cast<typename string_t::value_type>(decimal_point);
}
char* endptr = nullptr; // NOLINT(misc-const-correctness,cppcoreguidelines-pro-type-vararg,hicpp-vararg)
strtof(value_float, token_buffer.data(), &endptr);
if (substitute)
{
// get_string() hands the token to the SAX interface with '.'
token_buffer[decimal_point_position] = '.';
}
if (JSON_HEDLEY_LIKELY(endptr == token_buffer.data() + token_buffer.size()))
{
return;
}
// retry only if the locale changed; otherwise, this would loop forever
const char current_decimal_point = get_decimal_point();
if (current_decimal_point == decimal_point)
{
return;
}
decimal_point = current_decimal_point;
}
}
/*!
@brief contiguous fast path for scanning a number
+420 -2
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@@ -3,6 +3,7 @@
// | | |__ | | | | | | version 3.12.0
// |_____|_____|_____|_|___| https://github.com/nlohmann/json
//
// SPDX-FileCopyrightText: 2021 The fast_float authors <https://github.com/fastfloat/fast_float>
// SPDX-FileCopyrightText: 2013-2026 Niels Lohmann <https://nlohmann.me>
// SPDX-License-Identifier: MIT
@@ -10,10 +11,16 @@
#include <array> // array
#include <cfloat> // FLT_EVAL_METHOD
#include <clocale> // localeconv
#include <cstddef> // size_t
#include <cstdint> // int64_t, uint64_t
#include <cstdlib> // strtof, strtod, strtold
#include <cstring> // memcpy
#include <limits> // numeric_limits
#include <string> // string
#include <nlohmann/detail/bit_ops.hpp>
#include <nlohmann/detail/input/pow5_table.hpp>
#include <nlohmann/detail/macro_scope.hpp>
// std::from_chars lives in <charconv>, but being in C++17 mode does not
@@ -29,8 +36,9 @@
// This file contains the value-conversion helpers used by the lexer to turn an
// already-validated number token into a value, without the locale/errno
// overhead of std::strtoull/std::strtod. They are free functions so the lexer
// stays focused on scanning; see lexer::convert_number().
// overhead of std::strtoull/std::strtod where possible. They are free functions
// so the lexer stays focused on scanning (see lexer::convert_number()) and so
// that other parsers of JSON text can convert tokens exactly like it does.
NLOHMANN_JSON_NAMESPACE_BEGIN
namespace detail
@@ -293,5 +301,415 @@ bool parse_float_from_chars(const char* first, const char* last, FloatType& out)
#endif
}
/// whether the eight bytes of @a v (see read_eight_bytes()) are ASCII digits
/// (after fast_float's is_made_of_eight_digits_fast)
inline bool is_eight_digits(std::uint64_t v) noexcept
{
return ((v & 0xF0F0F0F0F0F0F0F0u) | (((v + 0x0606060606060606u) & 0xF0F0F0F0F0F0F0F0u) >> 4u)) == 0x3333333333333333u;
}
/// the value of the eight ASCII digits in @a v (see read_eight_bytes()), three
/// multiplications instead of eight (after simdjson and fast_float)
inline std::uint32_t parse_eight_digits(std::uint64_t v) noexcept
{
v = ((v & 0x0F0F0F0F0F0F0F0Fu) * 2561u) >> 8u;
v = ((v & 0x00FF00FF00FF00FFu) * 6553601u) >> 16u;
return static_cast<std::uint32_t>(((v & 0x0000FFFF0000FFFFu) * 42949672960001u) >> 32u);
}
/*!
@brief the double nearest to w * 10^q (Eisel-Lemire)
The algorithm of Daniel Lemire, "Number Parsing at a Gigabyte per Second"
(Software: Practice and Experience, 2021), after fast_float's compute_float
(used under the MIT license). With a 128-bit approximation of 5^q, the product
is always sufficient to round correctly for w with at most 19 digits (Noble
Mushtak and Daniel Lemire, "Fast number parsing without fallback", Software:
Practice and Experience, 2023). Only integer arithmetic is used, so the result
does not depend on the floating-point environment.
@param[in] q decimal exponent
@param[in] w significand, w != 0
@return the IEEE-754 bits of the positive result (0 for underflow, infinity
for overflow)
*/
inline std::uint64_t eisel_lemire(std::int64_t q, std::uint64_t w) noexcept
{
constexpr int mantissa_bits = 52;
constexpr std::uint64_t infinity = std::uint64_t{0x7FF} << mantissa_bits;
if (q < pow5_128_smallest_power)
{
return 0;
}
if (q > pow5_128_largest_power)
{
return infinity;
}
const int lz = count_leading_zeros(w);
w <<= static_cast<unsigned>(lz);
const auto index = static_cast<std::size_t>(2 * (q - pow5_128_smallest_power));
uint128_parts product = full_multiplication(w, pow5_128()[index]);
constexpr std::uint64_t precision_mask = 0xFFFFFFFFFFFFFFFFu >> (mantissa_bits + 3);
if ((product.high & precision_mask) == precision_mask)
{
// the lower bits may carry into the result: use the next 64 bits of 5^q
const uint128_parts second = full_multiplication(w, pow5_128()[index + 1]);
product.low += second.high;
if (second.high > product.low)
{
++product.high;
}
}
const auto upperbit = static_cast<int>(product.high >> 63u);
const int shift = upperbit + 64 - mantissa_bits - 3;
std::uint64_t mantissa = product.high >> static_cast<unsigned>(shift);
// floor(log2(10^q)) + 63 + 1023, with log2(10) ~ 217706 / 2^16
std::int64_t power2 = (((152170 + 65536) * q) >> 16) + 63 + upperbit - lz + 1023;
if (power2 <= 0) // subnormal
{
if (-power2 + 1 >= 64)
{
return 0;
}
mantissa >>= static_cast<unsigned>(-power2 + 1);
mantissa += (mantissa & 1u);
mantissa >>= 1u;
// rounding up may produce the smallest normal number
power2 = (mantissa < (std::uint64_t{1} << mantissa_bits)) ? 0 : 1;
return mantissa | (static_cast<std::uint64_t>(power2) << mantissa_bits);
}
// a value exactly between two doubles rounds to even; this can only
// happen for small |q|, where 5^q is exact
if (product.low <= 1 && q >= -4 && q <= 23 && (mantissa & 3u) == 1
&& (mantissa << static_cast<unsigned>(shift)) == product.high)
{
mantissa &= ~std::uint64_t{1};
}
mantissa += (mantissa & 1u);
mantissa >>= 1u;
if (mantissa >= (std::uint64_t{2} << mantissa_bits))
{
mantissa = std::uint64_t{1} << mantissa_bits;
++power2;
}
mantissa &= ~(std::uint64_t{1} << mantissa_bits);
if (power2 >= 0x7FF)
{
return infinity;
}
return mantissa | (static_cast<std::uint64_t>(power2) << mantissa_bits);
}
/*!
@brief parse a validated float token with the Eisel-Lemire algorithm
The significand is accumulated eight digits at a time where possible. A token
with more than 19 significant digits is truncated to w; the value then lies
in [w, w + 1) * 10^q, and it is only returned if both ends round to the same
double, which covers all but a few such tokens.
@param[in] first pointer to the first character of the token
@param[in] last pointer past the last character
@param[out] out the correctly rounded value on success (±infinity if it
overflows, like strtod)
@return true on success; false if strtod must decide
*/
inline bool parse_float_eisel_lemire(const char* first, const char* last, double& out) noexcept
{
const char* p = first;
const bool negative = (p != last && *p == '-');
if (negative)
{
++p;
}
std::uint64_t w = 0;
int digits = 0; // significant digits in w
std::int64_t exponent = 0;
bool truncated = false;
bool in_fraction = false;
for (;;)
{
// eight digits at a time, as long as they fit into w
while (w != 0 && digits <= 19 - 8 && last - p >= 8)
{
const std::uint64_t v = read_eight_bytes(p);
if (!is_eight_digits(v))
{
break;
}
w = (w * 100000000u) + parse_eight_digits(v);
digits += 8;
exponent -= in_fraction ? 8 : 0;
p += 8;
}
if (p == last)
{
break;
}
const char c = *p;
if (c >= '0' && c <= '9')
{
if (w == 0 && c == '0')
{
// leading zeros are not significant, but scale a fraction
exponent -= in_fraction ? 1 : 0;
}
else if (digits < 19)
{
w = (w * 10u) + static_cast<std::uint64_t>(c - '0');
++digits;
exponent -= in_fraction ? 1 : 0;
}
else
{
// dropped: the value lies between w and w + 1 (in units of
// the last kept digit) unless all dropped digits are zero
truncated = truncated || c != '0';
exponent += in_fraction ? 0 : 1;
}
++p;
}
else if (c == '.')
{
in_fraction = true;
++p;
}
else
{
break; // 'e' or 'E'
}
}
if (p != last)
{
++p; // 'e' or 'E'
bool exp_negative = false;
if (p != last && (*p == '-' || *p == '+'))
{
exp_negative = (*p == '-');
++p;
}
std::int64_t exp_value = 0;
for (; p != last; ++p)
{
// saturate: any exponent beyond this under- or overflows anyway
if (exp_value < 100000)
{
exp_value = (exp_value * 10) + (*p - '0');
}
}
exponent += exp_negative ? -exp_value : exp_value;
}
std::uint64_t bits = 0;
if (w != 0)
{
bits = eisel_lemire(exponent, w);
if (truncated && (w + 1 == 0 || eisel_lemire(exponent, w + 1) != bits))
{
return false;
}
}
bits |= negative ? (std::uint64_t{1} << 63u) : 0u;
static_assert(sizeof(double) == sizeof(std::uint64_t), "double must have 64 bits");
std::memcpy(&out, &bits, sizeof(out));
return true;
}
/// Eisel-Lemire is only implemented for `double`
template<typename FloatType>
bool parse_float_eisel_lemire(const char* /*first*/, const char* /*last*/, FloatType& /*out*/) noexcept
{
return false;
}
/*!
@brief check whether Clinger's fast path can still succeed for a float token
parse_float_fast() needs a significand below 2^53. A mantissa with 17 or
more significant digits is at least 10^16 and therefore always exceeds it,
so calling the fast path would walk the token one extra time only to
decline before strtod has to run anyway.
Significant digits are the mantissa's digits from the first nonzero one on;
the sign, the decimal point, leading zeros, and the exponent do not count.
The answer is derived from indices - the digits are not scanned again - so
this stays off the hot path of the number scanners.
@param[in] token the validated number token ('.' as decimal point)
@param[in] decimal_point_position index of the '.' in @a token, or
std::string::npos if there is none
@param[in] mantissa_end offset just past the last mantissa byte
@return false if parse_float_fast() is guaranteed to decline
*/
inline bool mantissa_fits_clinger(const char* token, std::size_t decimal_point_position, std::size_t mantissa_end) noexcept
{
// 10^16 already exceeds 2^53, so 17 digits can never fit
constexpr std::size_t limit = 17;
const std::size_t neg = (token[0] == '-') ? 1u : 0u;
const std::size_t has_dot = (decimal_point_position != std::string::npos) ? 1u : 0u;
// the JSON grammar restricts the integer part to "0" or [1-9][0-9]*, so
// a leading zero can only be a lone "0", which is not significant
const std::size_t lead_zero = (token[neg] == '0') ? 1u : 0u;
JSON_ASSERT(mantissa_end >= neg + has_dot + lead_zero);
std::size_t digits = mantissa_end - neg - has_dot - lead_zero;
if (JSON_HEDLEY_LIKELY(digits < limit))
{
return true;
}
// Only a number below 1 can carry further insignificant zeros, and only
// while the count stays at the limit does removing them change the
// answer - so this loop is skipped for all but a few tokens. The
// fraction is located through decimal_point_position rather than by
// searching '.'.
if (lead_zero != 0)
{
JSON_ASSERT(has_dot != 0); // an integer "0" cannot reach the limit
for (std::size_t i = decimal_point_position + 1;
digits >= limit && i < mantissa_end && token[i] == '0'; ++i)
{
--digits;
}
}
return digits < limit;
}
/*!
@brief convert a validated float token without the C library, if possible
Tries std::from_chars (when available), Clinger's exact fast path (double
only, skipped when it cannot succeed), and the Eisel-Lemire algorithm (double
only).
@param[in] first pointer to the first character of the token
@param[in] last pointer past the last character
@param[in] decimal_point_position index of the '.' in the token, or
std::string::npos if there is none
@param[in] mantissa_end offset just past the last mantissa byte (the
index of 'e'/'E', or the token length)
@param[out] value the converted value on success
@return true if the value was converted; false if convert_float_locale_aware()
must convert it
*/
template<typename FloatType>
bool convert_float_fast(const char* first, const char* last, std::size_t decimal_point_position,
std::size_t mantissa_end, FloatType& value) noexcept
{
if (parse_float_from_chars(first, last, value))
{
return true;
}
// Skipping a fast path that cannot succeed is lossless and saves a full
// extra pass over the token's bytes, which otherwise shows up on
// high-precision inputs such as canada.json
if (mantissa_fits_clinger(first, decimal_point_position, mantissa_end)
&& parse_float_fast(first, last, value))
{
return true;
}
return parse_float_eisel_lemire(first, last, value);
}
/// std::strtof, std::strtod, or std::strtold, chosen by the type of @a f
JSON_HEDLEY_NON_NULL(2)
inline void strtof_by_type(float& f, const char* str, char** endptr) noexcept
{
f = std::strtof(str, endptr);
}
/// std::strtof, std::strtod, or std::strtold, chosen by the type of @a f
JSON_HEDLEY_NON_NULL(2)
inline void strtof_by_type(double& f, const char* str, char** endptr) noexcept
{
f = std::strtod(str, endptr);
}
/// std::strtof, std::strtod, or std::strtold, chosen by the type of @a f
JSON_HEDLEY_NON_NULL(2)
inline void strtof_by_type(long double& f, const char* str, char** endptr) noexcept
{
f = std::strtold(str, endptr);
}
/// return the decimal point of the current locale
inline char get_decimal_point() noexcept
{
const auto* loc = localeconv();
JSON_ASSERT(loc != nullptr);
return (loc->decimal_point == nullptr) ? '.' : *(loc->decimal_point);
}
/*!
@brief convert a validated float token with strtof/strtod/strtold
These functions expect the decimal point of the *current* locale, so it is
looked up right before the conversion instead of once when the lexer is
constructed: a locale change in between (by a parser callback, a SAX
handler, or another thread) must not truncate the value (#5198). The
token has been validated before, so if the conversion stops early and the
decimal point changed in the meantime, the locale changed between the
lookup and the call, and the conversion is repeated with the new decimal
point. If the decimal point did not change, a retry cannot succeed: the
locale's decimal point is not a single character (e.g., the two-byte
U+066B of ar_EG.UTF-8 or fa_IR.UTF-8) and cannot be substituted in place.
The value strtod parsed up to that point is kept, as before this change.
Note that changing the locale in another thread *while* strtod runs is
undefined behavior of the C library, which this function cannot prevent.
@param[in,out] token the token with '.' as decimal point; its
decimal point is replaced during the
conversion and restored afterwards
(data() must be NUL-terminated)
@param[in] decimal_point_position index of the '.' in @a token, or
std::string::npos if there is none
@param[out] value the converted value
*/
template<typename StringType, typename FloatType>
void convert_float_locale_aware(StringType& token, std::size_t decimal_point_position, FloatType& value)
{
const bool has_dot = decimal_point_position != std::string::npos;
char decimal_point = get_decimal_point();
for (;;)
{
const bool substitute = has_dot && decimal_point != '.';
if (substitute)
{
token[decimal_point_position] = static_cast<typename StringType::value_type>(decimal_point);
}
char* endptr = nullptr; // NOLINT(misc-const-correctness,cppcoreguidelines-pro-type-vararg,hicpp-vararg)
strtof_by_type(value, token.data(), &endptr);
if (substitute)
{
// the caller hands the token on (e.g. to the SAX interface) with '.'
token[decimal_point_position] = '.';
}
if (JSON_HEDLEY_LIKELY(endptr == token.data() + token.size()))
{
return;
}
// retry only if the locale changed; otherwise, this would loop forever
const char current_decimal_point = get_decimal_point();
if (current_decimal_point == decimal_point)
{
return;
}
decimal_point = current_decimal_point;
}
}
} // namespace detail
NLOHMANN_JSON_NAMESPACE_END
@@ -0,0 +1,371 @@
// __ _____ _____ _____
// __| | __| | | | JSON for Modern C++
// | | |__ | | | | | | version 3.12.0
// |_____|_____|_____|_|___| https://github.com/nlohmann/json
//
// SPDX-FileCopyrightText: 2021 The fast_float authors <https://github.com/fastfloat/fast_float>
// SPDX-FileCopyrightText: 2013-2026 Niels Lohmann <https://nlohmann.me>
// SPDX-License-Identifier: MIT
#pragma once
#include <array> // array
#include <cstdint> // int64_t, uint64_t
#include <nlohmann/detail/abi_macros.hpp>
NLOHMANN_JSON_NAMESPACE_BEGIN
namespace detail
{
/// the range of decimal exponents covered by pow5_128()
constexpr std::int64_t pow5_128_smallest_power = -342;
constexpr std::int64_t pow5_128_largest_power = 308;
/*!
@brief 128-bit approximations of 5^q for q in [-342, 308]
Entry q (at index 2 * (q + 342)) holds the most significant 128 bits of 5^q,
normalized so that the highest bit is set: for q >= 0 the truncated value, for
q < 0 the value rounded up. This is the table of fast_float (Daniel Lemire and
contributors, used under the MIT license), generated like its
script/table_generation.py; unit-class_lexer.cpp recomputes every entry.
*/
inline const std::array<std::uint64_t, 1302>& pow5_128() noexcept
{
static const std::array<std::uint64_t, 1302> table =
{
{
0xeef453d6923bd65au, 0x113faa2906a13b3fu, 0x9558b4661b6565f8u, 0x4ac7ca59a424c507u,
0xbaaee17fa23ebf76u, 0x5d79bcf00d2df649u, 0xe95a99df8ace6f53u, 0xf4d82c2c107973dcu,
0x91d8a02bb6c10594u, 0x79071b9b8a4be869u, 0xb64ec836a47146f9u, 0x9748e2826cdee284u,
0xe3e27a444d8d98b7u, 0xfd1b1b2308169b25u, 0x8e6d8c6ab0787f72u, 0xfe30f0f5e50e20f7u,
0xb208ef855c969f4fu, 0xbdbd2d335e51a935u, 0xde8b2b66b3bc4723u, 0xad2c788035e61382u,
0x8b16fb203055ac76u, 0x4c3bcb5021afcc31u, 0xaddcb9e83c6b1793u, 0xdf4abe242a1bbf3du,
0xd953e8624b85dd78u, 0xd71d6dad34a2af0du, 0x87d4713d6f33aa6bu, 0x8672648c40e5ad68u,
0xa9c98d8ccb009506u, 0x680efdaf511f18c2u, 0xd43bf0effdc0ba48u, 0x0212bd1b2566def2u,
0x84a57695fe98746du, 0x014bb630f7604b57u, 0xa5ced43b7e3e9188u, 0x419ea3bd35385e2du,
0xcf42894a5dce35eau, 0x52064cac828675b9u, 0x818995ce7aa0e1b2u, 0x7343efebd1940993u,
0xa1ebfb4219491a1fu, 0x1014ebe6c5f90bf8u, 0xca66fa129f9b60a6u, 0xd41a26e077774ef6u,
0xfd00b897478238d0u, 0x8920b098955522b4u, 0x9e20735e8cb16382u, 0x55b46e5f5d5535b0u,
0xc5a890362fddbc62u, 0xeb2189f734aa831du, 0xf712b443bbd52b7bu, 0xa5e9ec7501d523e4u,
0x9a6bb0aa55653b2du, 0x47b233c92125366eu, 0xc1069cd4eabe89f8u, 0x999ec0bb696e840au,
0xf148440a256e2c76u, 0xc00670ea43ca250du, 0x96cd2a865764dbcau, 0x380406926a5e5728u,
0xbc807527ed3e12bcu, 0xc605083704f5ecf2u, 0xeba09271e88d976bu, 0xf7864a44c633682eu,
0x93445b8731587ea3u, 0x7ab3ee6afbe0211du, 0xb8157268fdae9e4cu, 0x5960ea05bad82964u,
0xe61acf033d1a45dfu, 0x6fb92487298e33bdu, 0x8fd0c16206306babu, 0xa5d3b6d479f8e056u,
0xb3c4f1ba87bc8696u, 0x8f48a4899877186cu, 0xe0b62e2929aba83cu, 0x331acdabfe94de87u,
0x8c71dcd9ba0b4925u, 0x9ff0c08b7f1d0b14u, 0xaf8e5410288e1b6fu, 0x07ecf0ae5ee44dd9u,
0xdb71e91432b1a24au, 0xc9e82cd9f69d6150u, 0x892731ac9faf056eu, 0xbe311c083a225cd2u,
0xab70fe17c79ac6cau, 0x6dbd630a48aaf406u, 0xd64d3d9db981787du, 0x092cbbccdad5b108u,
0x85f0468293f0eb4eu, 0x25bbf56008c58ea5u, 0xa76c582338ed2621u, 0xaf2af2b80af6f24eu,
0xd1476e2c07286faau, 0x1af5af660db4aee1u, 0x82cca4db847945cau, 0x50d98d9fc890ed4du,
0xa37fce126597973cu, 0xe50ff107bab528a0u, 0xcc5fc196fefd7d0cu, 0x1e53ed49a96272c8u,
0xff77b1fcbebcdc4fu, 0x25e8e89c13bb0f7au, 0x9faacf3df73609b1u, 0x77b191618c54e9acu,
0xc795830d75038c1du, 0xd59df5b9ef6a2417u, 0xf97ae3d0d2446f25u, 0x4b0573286b44ad1du,
0x9becce62836ac577u, 0x4ee367f9430aec32u, 0xc2e801fb244576d5u, 0x229c41f793cda73fu,
0xf3a20279ed56d48au, 0x6b43527578c1110fu, 0x9845418c345644d6u, 0x830a13896b78aaa9u,
0xbe5691ef416bd60cu, 0x23cc986bc656d553u, 0xedec366b11c6cb8fu, 0x2cbfbe86b7ec8aa8u,
0x94b3a202eb1c3f39u, 0x7bf7d71432f3d6a9u, 0xb9e08a83a5e34f07u, 0xdaf5ccd93fb0cc53u,
0xe858ad248f5c22c9u, 0xd1b3400f8f9cff68u, 0x91376c36d99995beu, 0x23100809b9c21fa1u,
0xb58547448ffffb2du, 0xabd40a0c2832a78au, 0xe2e69915b3fff9f9u, 0x16c90c8f323f516cu,
0x8dd01fad907ffc3bu, 0xae3da7d97f6792e3u, 0xb1442798f49ffb4au, 0x99cd11cfdf41779cu,
0xdd95317f31c7fa1du, 0x40405643d711d583u, 0x8a7d3eef7f1cfc52u, 0x482835ea666b2572u,
0xad1c8eab5ee43b66u, 0xda3243650005eecfu, 0xd863b256369d4a40u, 0x90bed43e40076a82u,
0x873e4f75e2224e68u, 0x5a7744a6e804a291u, 0xa90de3535aaae202u, 0x711515d0a205cb36u,
0xd3515c2831559a83u, 0x0d5a5b44ca873e03u, 0x8412d9991ed58091u, 0xe858790afe9486c2u,
0xa5178fff668ae0b6u, 0x626e974dbe39a872u, 0xce5d73ff402d98e3u, 0xfb0a3d212dc8128fu,
0x80fa687f881c7f8eu, 0x7ce66634bc9d0b99u, 0xa139029f6a239f72u, 0x1c1fffc1ebc44e80u,
0xc987434744ac874eu, 0xa327ffb266b56220u, 0xfbe9141915d7a922u, 0x4bf1ff9f0062baa8u,
0x9d71ac8fada6c9b5u, 0x6f773fc3603db4a9u, 0xc4ce17b399107c22u, 0xcb550fb4384d21d3u,
0xf6019da07f549b2bu, 0x7e2a53a146606a48u, 0x99c102844f94e0fbu, 0x2eda7444cbfc426du,
0xc0314325637a1939u, 0xfa911155fefb5308u, 0xf03d93eebc589f88u, 0x793555ab7eba27cau,
0x96267c7535b763b5u, 0x4bc1558b2f3458deu, 0xbbb01b9283253ca2u, 0x9eb1aaedfb016f16u,
0xea9c227723ee8bcbu, 0x465e15a979c1cadcu, 0x92a1958a7675175fu, 0x0bfacd89ec191ec9u,
0xb749faed14125d36u, 0xcef980ec671f667bu, 0xe51c79a85916f484u, 0x82b7e12780e7401au,
0x8f31cc0937ae58d2u, 0xd1b2ecb8b0908810u, 0xb2fe3f0b8599ef07u, 0x861fa7e6dcb4aa15u,
0xdfbdcece67006ac9u, 0x67a791e093e1d49au, 0x8bd6a141006042bdu, 0xe0c8bb2c5c6d24e0u,
0xaecc49914078536du, 0x58fae9f773886e18u, 0xda7f5bf590966848u, 0xaf39a475506a899eu,
0x888f99797a5e012du, 0x6d8406c952429603u, 0xaab37fd7d8f58178u, 0xc8e5087ba6d33b83u,
0xd5605fcdcf32e1d6u, 0xfb1e4a9a90880a64u, 0x855c3be0a17fcd26u, 0x5cf2eea09a55067fu,
0xa6b34ad8c9dfc06fu, 0xf42faa48c0ea481eu, 0xd0601d8efc57b08bu, 0xf13b94daf124da26u,
0x823c12795db6ce57u, 0x76c53d08d6b70858u, 0xa2cb1717b52481edu, 0x54768c4b0c64ca6eu,
0xcb7ddcdda26da268u, 0xa9942f5dcf7dfd09u, 0xfe5d54150b090b02u, 0xd3f93b35435d7c4cu,
0x9efa548d26e5a6e1u, 0xc47bc5014a1a6dafu, 0xc6b8e9b0709f109au, 0x359ab6419ca1091bu,
0xf867241c8cc6d4c0u, 0xc30163d203c94b62u, 0x9b407691d7fc44f8u, 0x79e0de63425dcf1du,
0xc21094364dfb5636u, 0x985915fc12f542e4u, 0xf294b943e17a2bc4u, 0x3e6f5b7b17b2939du,
0x979cf3ca6cec5b5au, 0xa705992ceecf9c42u, 0xbd8430bd08277231u, 0x50c6ff782a838353u,
0xece53cec4a314ebdu, 0xa4f8bf5635246428u, 0x940f4613ae5ed136u, 0x871b7795e136be99u,
0xb913179899f68584u, 0x28e2557b59846e3fu, 0xe757dd7ec07426e5u, 0x331aeada2fe589cfu,
0x9096ea6f3848984fu, 0x3ff0d2c85def7621u, 0xb4bca50b065abe63u, 0x0fed077a756b53a9u,
0xe1ebce4dc7f16dfbu, 0xd3e8495912c62894u, 0x8d3360f09cf6e4bdu, 0x64712dd7abbbd95cu,
0xb080392cc4349decu, 0xbd8d794d96aacfb3u, 0xdca04777f541c567u, 0xecf0d7a0fc5583a0u,
0x89e42caaf9491b60u, 0xf41686c49db57244u, 0xac5d37d5b79b6239u, 0x311c2875c522ced5u,
0xd77485cb25823ac7u, 0x7d633293366b828bu, 0x86a8d39ef77164bcu, 0xae5dff9c02033197u,
0xa8530886b54dbdebu, 0xd9f57f830283fdfcu, 0xd267caa862a12d66u, 0xd072df63c324fd7bu,
0x8380dea93da4bc60u, 0x4247cb9e59f71e6du, 0xa46116538d0deb78u, 0x52d9be85f074e608u,
0xcd795be870516656u, 0x67902e276c921f8bu, 0x806bd9714632dff6u, 0x00ba1cd8a3db53b6u,
0xa086cfcd97bf97f3u, 0x80e8a40eccd228a4u, 0xc8a883c0fdaf7df0u, 0x6122cd128006b2cdu,
0xfad2a4b13d1b5d6cu, 0x796b805720085f81u, 0x9cc3a6eec6311a63u, 0xcbe3303674053bb0u,
0xc3f490aa77bd60fcu, 0xbedbfc4411068a9cu, 0xf4f1b4d515acb93bu, 0xee92fb5515482d44u,
0x991711052d8bf3c5u, 0x751bdd152d4d1c4au, 0xbf5cd54678eef0b6u, 0xd262d45a78a0635du,
0xef340a98172aace4u, 0x86fb897116c87c34u, 0x9580869f0e7aac0eu, 0xd45d35e6ae3d4da0u,
0xbae0a846d2195712u, 0x8974836059cca109u, 0xe998d258869facd7u, 0x2bd1a438703fc94bu,
0x91ff83775423cc06u, 0x7b6306a34627ddcfu, 0xb67f6455292cbf08u, 0x1a3bc84c17b1d542u,
0xe41f3d6a7377eecau, 0x20caba5f1d9e4a93u, 0x8e938662882af53eu, 0x547eb47b7282ee9cu,
0xb23867fb2a35b28du, 0xe99e619a4f23aa43u, 0xdec681f9f4c31f31u, 0x6405fa00e2ec94d4u,
0x8b3c113c38f9f37eu, 0xde83bc408dd3dd04u, 0xae0b158b4738705eu, 0x9624ab50b148d445u,
0xd98ddaee19068c76u, 0x3badd624dd9b0957u, 0x87f8a8d4cfa417c9u, 0xe54ca5d70a80e5d6u,
0xa9f6d30a038d1dbcu, 0x5e9fcf4ccd211f4cu, 0xd47487cc8470652bu, 0x7647c3200069671fu,
0x84c8d4dfd2c63f3bu, 0x29ecd9f40041e073u, 0xa5fb0a17c777cf09u, 0xf468107100525890u,
0xcf79cc9db955c2ccu, 0x7182148d4066eeb4u, 0x81ac1fe293d599bfu, 0xc6f14cd848405530u,
0xa21727db38cb002fu, 0xb8ada00e5a506a7cu, 0xca9cf1d206fdc03bu, 0xa6d90811f0e4851cu,
0xfd442e4688bd304au, 0x908f4a166d1da663u, 0x9e4a9cec15763e2eu, 0x9a598e4e043287feu,
0xc5dd44271ad3cdbau, 0x40eff1e1853f29fdu, 0xf7549530e188c128u, 0xd12bee59e68ef47cu,
0x9a94dd3e8cf578b9u, 0x82bb74f8301958ceu, 0xc13a148e3032d6e7u, 0xe36a52363c1faf01u,
0xf18899b1bc3f8ca1u, 0xdc44e6c3cb279ac1u, 0x96f5600f15a7b7e5u, 0x29ab103a5ef8c0b9u,
0xbcb2b812db11a5deu, 0x7415d448f6b6f0e7u, 0xebdf661791d60f56u, 0x111b495b3464ad21u,
0x936b9fcebb25c995u, 0xcab10dd900beec34u, 0xb84687c269ef3bfbu, 0x3d5d514f40eea742u,
0xe65829b3046b0afau, 0x0cb4a5a3112a5112u, 0x8ff71a0fe2c2e6dcu, 0x47f0e785eaba72abu,
0xb3f4e093db73a093u, 0x59ed216765690f56u, 0xe0f218b8d25088b8u, 0x306869c13ec3532cu,
0x8c974f7383725573u, 0x1e414218c73a13fbu, 0xafbd2350644eeacfu, 0xe5d1929ef90898fau,
0xdbac6c247d62a583u, 0xdf45f746b74abf39u, 0x894bc396ce5da772u, 0x6b8bba8c328eb783u,
0xab9eb47c81f5114fu, 0x066ea92f3f326564u, 0xd686619ba27255a2u, 0xc80a537b0efefebdu,
0x8613fd0145877585u, 0xbd06742ce95f5f36u, 0xa798fc4196e952e7u, 0x2c48113823b73704u,
0xd17f3b51fca3a7a0u, 0xf75a15862ca504c5u, 0x82ef85133de648c4u, 0x9a984d73dbe722fbu,
0xa3ab66580d5fdaf5u, 0xc13e60d0d2e0ebbau, 0xcc963fee10b7d1b3u, 0x318df905079926a8u,
0xffbbcfe994e5c61fu, 0xfdf17746497f7052u, 0x9fd561f1fd0f9bd3u, 0xfeb6ea8bedefa633u,
0xc7caba6e7c5382c8u, 0xfe64a52ee96b8fc0u, 0xf9bd690a1b68637bu, 0x3dfdce7aa3c673b0u,
0x9c1661a651213e2du, 0x06bea10ca65c084eu, 0xc31bfa0fe5698db8u, 0x486e494fcff30a62u,
0xf3e2f893dec3f126u, 0x5a89dba3c3efccfau, 0x986ddb5c6b3a76b7u, 0xf89629465a75e01cu,
0xbe89523386091465u, 0xf6bbb397f1135823u, 0xee2ba6c0678b597fu, 0x746aa07ded582e2cu,
0x94db483840b717efu, 0xa8c2a44eb4571cdcu, 0xba121a4650e4ddebu, 0x92f34d62616ce413u,
0xe896a0d7e51e1566u, 0x77b020baf9c81d17u, 0x915e2486ef32cd60u, 0x0ace1474dc1d122eu,
0xb5b5ada8aaff80b8u, 0x0d819992132456bau, 0xe3231912d5bf60e6u, 0x10e1fff697ed6c69u,
0x8df5efabc5979c8fu, 0xca8d3ffa1ef463c1u, 0xb1736b96b6fd83b3u, 0xbd308ff8a6b17cb2u,
0xddd0467c64bce4a0u, 0xac7cb3f6d05ddbdeu, 0x8aa22c0dbef60ee4u, 0x6bcdf07a423aa96bu,
0xad4ab7112eb3929du, 0x86c16c98d2c953c6u, 0xd89d64d57a607744u, 0xe871c7bf077ba8b7u,
0x87625f056c7c4a8bu, 0x11471cd764ad4972u, 0xa93af6c6c79b5d2du, 0xd598e40d3dd89bcfu,
0xd389b47879823479u, 0x4aff1d108d4ec2c3u, 0x843610cb4bf160cbu, 0xcedf722a585139bau,
0xa54394fe1eedb8feu, 0xc2974eb4ee658828u, 0xce947a3da6a9273eu, 0x733d226229feea32u,
0x811ccc668829b887u, 0x0806357d5a3f525fu, 0xa163ff802a3426a8u, 0xca07c2dcb0cf26f7u,
0xc9bcff6034c13052u, 0xfc89b393dd02f0b5u, 0xfc2c3f3841f17c67u, 0xbbac2078d443ace2u,
0x9d9ba7832936edc0u, 0xd54b944b84aa4c0du, 0xc5029163f384a931u, 0x0a9e795e65d4df11u,
0xf64335bcf065d37du, 0x4d4617b5ff4a16d5u, 0x99ea0196163fa42eu, 0x504bced1bf8e4e45u,
0xc06481fb9bcf8d39u, 0xe45ec2862f71e1d6u, 0xf07da27a82c37088u, 0x5d767327bb4e5a4cu,
0x964e858c91ba2655u, 0x3a6a07f8d510f86fu, 0xbbe226efb628afeau, 0x890489f70a55368bu,
0xeadab0aba3b2dbe5u, 0x2b45ac74ccea842eu, 0x92c8ae6b464fc96fu, 0x3b0b8bc90012929du,
0xb77ada0617e3bbcbu, 0x09ce6ebb40173744u, 0xe55990879ddcaabdu, 0xcc420a6a101d0515u,
0x8f57fa54c2a9eab6u, 0x9fa946824a12232du, 0xb32df8e9f3546564u, 0x47939822dc96abf9u,
0xdff9772470297ebdu, 0x59787e2b93bc56f7u, 0x8bfbea76c619ef36u, 0x57eb4edb3c55b65au,
0xaefae51477a06b03u, 0xede622920b6b23f1u, 0xdab99e59958885c4u, 0xe95fab368e45ecedu,
0x88b402f7fd75539bu, 0x11dbcb0218ebb414u, 0xaae103b5fcd2a881u, 0xd652bdc29f26a119u,
0xd59944a37c0752a2u, 0x4be76d3346f0495fu, 0x857fcae62d8493a5u, 0x6f70a4400c562ddbu,
0xa6dfbd9fb8e5b88eu, 0xcb4ccd500f6bb952u, 0xd097ad07a71f26b2u, 0x7e2000a41346a7a7u,
0x825ecc24c873782fu, 0x8ed400668c0c28c8u, 0xa2f67f2dfa90563bu, 0x728900802f0f32fau,
0xcbb41ef979346bcau, 0x4f2b40a03ad2ffb9u, 0xfea126b7d78186bcu, 0xe2f610c84987bfa8u,
0x9f24b832e6b0f436u, 0x0dd9ca7d2df4d7c9u, 0xc6ede63fa05d3143u, 0x91503d1c79720dbbu,
0xf8a95fcf88747d94u, 0x75a44c6397ce912au, 0x9b69dbe1b548ce7cu, 0xc986afbe3ee11abau,
0xc24452da229b021bu, 0xfbe85badce996168u, 0xf2d56790ab41c2a2u, 0xfae27299423fb9c3u,
0x97c560ba6b0919a5u, 0xdccd879fc967d41au, 0xbdb6b8e905cb600fu, 0x5400e987bbc1c920u,
0xed246723473e3813u, 0x290123e9aab23b68u, 0x9436c0760c86e30bu, 0xf9a0b6720aaf6521u,
0xb94470938fa89bceu, 0xf808e40e8d5b3e69u, 0xe7958cb87392c2c2u, 0xb60b1d1230b20e04u,
0x90bd77f3483bb9b9u, 0xb1c6f22b5e6f48c2u, 0xb4ecd5f01a4aa828u, 0x1e38aeb6360b1af3u,
0xe2280b6c20dd5232u, 0x25c6da63c38de1b0u, 0x8d590723948a535fu, 0x579c487e5a38ad0eu,
0xb0af48ec79ace837u, 0x2d835a9df0c6d851u, 0xdcdb1b2798182244u, 0xf8e431456cf88e65u,
0x8a08f0f8bf0f156bu, 0x1b8e9ecb641b58ffu, 0xac8b2d36eed2dac5u, 0xe272467e3d222f3fu,
0xd7adf884aa879177u, 0x5b0ed81dcc6abb0fu, 0x86ccbb52ea94baeau, 0x98e947129fc2b4e9u,
0xa87fea27a539e9a5u, 0x3f2398d747b36224u, 0xd29fe4b18e88640eu, 0x8eec7f0d19a03aadu,
0x83a3eeeef9153e89u, 0x1953cf68300424acu, 0xa48ceaaab75a8e2bu, 0x5fa8c3423c052dd7u,
0xcdb02555653131b6u, 0x3792f412cb06794du, 0x808e17555f3ebf11u, 0xe2bbd88bbee40bd0u,
0xa0b19d2ab70e6ed6u, 0x5b6aceaeae9d0ec4u, 0xc8de047564d20a8bu, 0xf245825a5a445275u,
0xfb158592be068d2eu, 0xeed6e2f0f0d56712u, 0x9ced737bb6c4183du, 0x55464dd69685606bu,
0xc428d05aa4751e4cu, 0xaa97e14c3c26b886u, 0xf53304714d9265dfu, 0xd53dd99f4b3066a8u,
0x993fe2c6d07b7fabu, 0xe546a8038efe4029u, 0xbf8fdb78849a5f96u, 0xde98520472bdd033u,
0xef73d256a5c0f77cu, 0x963e66858f6d4440u, 0x95a8637627989aadu, 0xdde7001379a44aa8u,
0xbb127c53b17ec159u, 0x5560c018580d5d52u, 0xe9d71b689dde71afu, 0xaab8f01e6e10b4a6u,
0x9226712162ab070du, 0xcab3961304ca70e8u, 0xb6b00d69bb55c8d1u, 0x3d607b97c5fd0d22u,
0xe45c10c42a2b3b05u, 0x8cb89a7db77c506au, 0x8eb98a7a9a5b04e3u, 0x77f3608e92adb242u,
0xb267ed1940f1c61cu, 0x55f038b237591ed3u, 0xdf01e85f912e37a3u, 0x6b6c46dec52f6688u,
0x8b61313bbabce2c6u, 0x2323ac4b3b3da015u, 0xae397d8aa96c1b77u, 0xabec975e0a0d081au,
0xd9c7dced53c72255u, 0x96e7bd358c904a21u, 0x881cea14545c7575u, 0x7e50d64177da2e54u,
0xaa242499697392d2u, 0xdde50bd1d5d0b9e9u, 0xd4ad2dbfc3d07787u, 0x955e4ec64b44e864u,
0x84ec3c97da624ab4u, 0xbd5af13bef0b113eu, 0xa6274bbdd0fadd61u, 0xecb1ad8aeacdd58eu,
0xcfb11ead453994bau, 0x67de18eda5814af2u, 0x81ceb32c4b43fcf4u, 0x80eacf948770ced7u,
0xa2425ff75e14fc31u, 0xa1258379a94d028du, 0xcad2f7f5359a3b3eu, 0x096ee45813a04330u,
0xfd87b5f28300ca0du, 0x8bca9d6e188853fcu, 0x9e74d1b791e07e48u, 0x775ea264cf55347eu,
0xc612062576589ddau, 0x95364afe032a819eu, 0xf79687aed3eec551u, 0x3a83ddbd83f52205u,
0x9abe14cd44753b52u, 0xc4926a9672793543u, 0xc16d9a0095928a27u, 0x75b7053c0f178294u,
0xf1c90080baf72cb1u, 0x5324c68b12dd6339u, 0x971da05074da7beeu, 0xd3f6fc16ebca5e04u,
0xbce5086492111aeau, 0x88f4bb1ca6bcf585u, 0xec1e4a7db69561a5u, 0x2b31e9e3d06c32e6u,
0x9392ee8e921d5d07u, 0x3aff322e62439fd0u, 0xb877aa3236a4b449u, 0x09befeb9fad487c3u,
0xe69594bec44de15bu, 0x4c2ebe687989a9b4u, 0x901d7cf73ab0acd9u, 0x0f9d37014bf60a11u,
0xb424dc35095cd80fu, 0x538484c19ef38c95u, 0xe12e13424bb40e13u, 0x2865a5f206b06fbau,
0x8cbccc096f5088cbu, 0xf93f87b7442e45d4u, 0xafebff0bcb24aafeu, 0xf78f69a51539d749u,
0xdbe6fecebdedd5beu, 0xb573440e5a884d1cu, 0x89705f4136b4a597u, 0x31680a88f8953031u,
0xabcc77118461cefcu, 0xfdc20d2b36ba7c3eu, 0xd6bf94d5e57a42bcu, 0x3d32907604691b4du,
0x8637bd05af6c69b5u, 0xa63f9a49c2c1b110u, 0xa7c5ac471b478423u, 0x0fcf80dc33721d54u,
0xd1b71758e219652bu, 0xd3c36113404ea4a9u, 0x83126e978d4fdf3bu, 0x645a1cac083126eau,
0xa3d70a3d70a3d70au, 0x3d70a3d70a3d70a4u, 0xccccccccccccccccu, 0xcccccccccccccccdu,
0x8000000000000000u, 0x0000000000000000u, 0xa000000000000000u, 0x0000000000000000u,
0xc800000000000000u, 0x0000000000000000u, 0xfa00000000000000u, 0x0000000000000000u,
0x9c40000000000000u, 0x0000000000000000u, 0xc350000000000000u, 0x0000000000000000u,
0xf424000000000000u, 0x0000000000000000u, 0x9896800000000000u, 0x0000000000000000u,
0xbebc200000000000u, 0x0000000000000000u, 0xee6b280000000000u, 0x0000000000000000u,
0x9502f90000000000u, 0x0000000000000000u, 0xba43b74000000000u, 0x0000000000000000u,
0xe8d4a51000000000u, 0x0000000000000000u, 0x9184e72a00000000u, 0x0000000000000000u,
0xb5e620f480000000u, 0x0000000000000000u, 0xe35fa931a0000000u, 0x0000000000000000u,
0x8e1bc9bf04000000u, 0x0000000000000000u, 0xb1a2bc2ec5000000u, 0x0000000000000000u,
0xde0b6b3a76400000u, 0x0000000000000000u, 0x8ac7230489e80000u, 0x0000000000000000u,
0xad78ebc5ac620000u, 0x0000000000000000u, 0xd8d726b7177a8000u, 0x0000000000000000u,
0x878678326eac9000u, 0x0000000000000000u, 0xa968163f0a57b400u, 0x0000000000000000u,
0xd3c21bcecceda100u, 0x0000000000000000u, 0x84595161401484a0u, 0x0000000000000000u,
0xa56fa5b99019a5c8u, 0x0000000000000000u, 0xcecb8f27f4200f3au, 0x0000000000000000u,
0x813f3978f8940984u, 0x4000000000000000u, 0xa18f07d736b90be5u, 0x5000000000000000u,
0xc9f2c9cd04674edeu, 0xa400000000000000u, 0xfc6f7c4045812296u, 0x4d00000000000000u,
0x9dc5ada82b70b59du, 0xf020000000000000u, 0xc5371912364ce305u, 0x6c28000000000000u,
0xf684df56c3e01bc6u, 0xc732000000000000u, 0x9a130b963a6c115cu, 0x3c7f400000000000u,
0xc097ce7bc90715b3u, 0x4b9f100000000000u, 0xf0bdc21abb48db20u, 0x1e86d40000000000u,
0x96769950b50d88f4u, 0x1314448000000000u, 0xbc143fa4e250eb31u, 0x17d955a000000000u,
0xeb194f8e1ae525fdu, 0x5dcfab0800000000u, 0x92efd1b8d0cf37beu, 0x5aa1cae500000000u,
0xb7abc627050305adu, 0xf14a3d9e40000000u, 0xe596b7b0c643c719u, 0x6d9ccd05d0000000u,
0x8f7e32ce7bea5c6fu, 0xe4820023a2000000u, 0xb35dbf821ae4f38bu, 0xdda2802c8a800000u,
0xe0352f62a19e306eu, 0xd50b2037ad200000u, 0x8c213d9da502de45u, 0x4526f422cc340000u,
0xaf298d050e4395d6u, 0x9670b12b7f410000u, 0xdaf3f04651d47b4cu, 0x3c0cdd765f114000u,
0x88d8762bf324cd0fu, 0xa5880a69fb6ac800u, 0xab0e93b6efee0053u, 0x8eea0d047a457a00u,
0xd5d238a4abe98068u, 0x72a4904598d6d880u, 0x85a36366eb71f041u, 0x47a6da2b7f864750u,
0xa70c3c40a64e6c51u, 0x999090b65f67d924u, 0xd0cf4b50cfe20765u, 0xfff4b4e3f741cf6du,
0x82818f1281ed449fu, 0xbff8f10e7a8921a4u, 0xa321f2d7226895c7u, 0xaff72d52192b6a0du,
0xcbea6f8ceb02bb39u, 0x9bf4f8a69f764490u, 0xfee50b7025c36a08u, 0x02f236d04753d5b4u,
0x9f4f2726179a2245u, 0x01d762422c946590u, 0xc722f0ef9d80aad6u, 0x424d3ad2b7b97ef5u,
0xf8ebad2b84e0d58bu, 0xd2e0898765a7deb2u, 0x9b934c3b330c8577u, 0x63cc55f49f88eb2fu,
0xc2781f49ffcfa6d5u, 0x3cbf6b71c76b25fbu, 0xf316271c7fc3908au, 0x8bef464e3945ef7au,
0x97edd871cfda3a56u, 0x97758bf0e3cbb5acu, 0xbde94e8e43d0c8ecu, 0x3d52eeed1cbea317u,
0xed63a231d4c4fb27u, 0x4ca7aaa863ee4bddu, 0x945e455f24fb1cf8u, 0x8fe8caa93e74ef6au,
0xb975d6b6ee39e436u, 0xb3e2fd538e122b44u, 0xe7d34c64a9c85d44u, 0x60dbbca87196b616u,
0x90e40fbeea1d3a4au, 0xbc8955e946fe31cdu, 0xb51d13aea4a488ddu, 0x6babab6398bdbe41u,
0xe264589a4dcdab14u, 0xc696963c7eed2dd1u, 0x8d7eb76070a08aecu, 0xfc1e1de5cf543ca2u,
0xb0de65388cc8ada8u, 0x3b25a55f43294bcbu, 0xdd15fe86affad912u, 0x49ef0eb713f39ebeu,
0x8a2dbf142dfcc7abu, 0x6e3569326c784337u, 0xacb92ed9397bf996u, 0x49c2c37f07965404u,
0xd7e77a8f87daf7fbu, 0xdc33745ec97be906u, 0x86f0ac99b4e8dafdu, 0x69a028bb3ded71a3u,
0xa8acd7c0222311bcu, 0xc40832ea0d68ce0cu, 0xd2d80db02aabd62bu, 0xf50a3fa490c30190u,
0x83c7088e1aab65dbu, 0x792667c6da79e0fau, 0xa4b8cab1a1563f52u, 0x577001b891185938u,
0xcde6fd5e09abcf26u, 0xed4c0226b55e6f86u, 0x80b05e5ac60b6178u, 0x544f8158315b05b4u,
0xa0dc75f1778e39d6u, 0x696361ae3db1c721u, 0xc913936dd571c84cu, 0x03bc3a19cd1e38e9u,
0xfb5878494ace3a5fu, 0x04ab48a04065c723u, 0x9d174b2dcec0e47bu, 0x62eb0d64283f9c76u,
0xc45d1df942711d9au, 0x3ba5d0bd324f8394u, 0xf5746577930d6500u, 0xca8f44ec7ee36479u,
0x9968bf6abbe85f20u, 0x7e998b13cf4e1ecbu, 0xbfc2ef456ae276e8u, 0x9e3fedd8c321a67eu,
0xefb3ab16c59b14a2u, 0xc5cfe94ef3ea101eu, 0x95d04aee3b80ece5u, 0xbba1f1d158724a12u,
0xbb445da9ca61281fu, 0x2a8a6e45ae8edc97u, 0xea1575143cf97226u, 0xf52d09d71a3293bdu,
0x924d692ca61be758u, 0x593c2626705f9c56u, 0xb6e0c377cfa2e12eu, 0x6f8b2fb00c77836cu,
0xe498f455c38b997au, 0x0b6dfb9c0f956447u, 0x8edf98b59a373fecu, 0x4724bd4189bd5eacu,
0xb2977ee300c50fe7u, 0x58edec91ec2cb657u, 0xdf3d5e9bc0f653e1u, 0x2f2967b66737e3edu,
0x8b865b215899f46cu, 0xbd79e0d20082ee74u, 0xae67f1e9aec07187u, 0xecd8590680a3aa11u,
0xda01ee641a708de9u, 0xe80e6f4820cc9495u, 0x884134fe908658b2u, 0x3109058d147fdcddu,
0xaa51823e34a7eedeu, 0xbd4b46f0599fd415u, 0xd4e5e2cdc1d1ea96u, 0x6c9e18ac7007c91au,
0x850fadc09923329eu, 0x03e2cf6bc604ddb0u, 0xa6539930bf6bff45u, 0x84db8346b786151cu,
0xcfe87f7cef46ff16u, 0xe612641865679a63u, 0x81f14fae158c5f6eu, 0x4fcb7e8f3f60c07eu,
0xa26da3999aef7749u, 0xe3be5e330f38f09du, 0xcb090c8001ab551cu, 0x5cadf5bfd3072cc5u,
0xfdcb4fa002162a63u, 0x73d9732fc7c8f7f6u, 0x9e9f11c4014dda7eu, 0x2867e7fddcdd9afau,
0xc646d63501a1511du, 0xb281e1fd541501b8u, 0xf7d88bc24209a565u, 0x1f225a7ca91a4226u,
0x9ae757596946075fu, 0x3375788de9b06958u, 0xc1a12d2fc3978937u, 0x0052d6b1641c83aeu,
0xf209787bb47d6b84u, 0xc0678c5dbd23a49au, 0x9745eb4d50ce6332u, 0xf840b7ba963646e0u,
0xbd176620a501fbffu, 0xb650e5a93bc3d898u, 0xec5d3fa8ce427affu, 0xa3e51f138ab4cebeu,
0x93ba47c980e98cdfu, 0xc66f336c36b10137u, 0xb8a8d9bbe123f017u, 0xb80b0047445d4184u,
0xe6d3102ad96cec1du, 0xa60dc059157491e5u, 0x9043ea1ac7e41392u, 0x87c89837ad68db2fu,
0xb454e4a179dd1877u, 0x29babe4598c311fbu, 0xe16a1dc9d8545e94u, 0xf4296dd6fef3d67au,
0x8ce2529e2734bb1du, 0x1899e4a65f58660cu, 0xb01ae745b101e9e4u, 0x5ec05dcff72e7f8fu,
0xdc21a1171d42645du, 0x76707543f4fa1f73u, 0x899504ae72497ebau, 0x6a06494a791c53a8u,
0xabfa45da0edbde69u, 0x0487db9d17636892u, 0xd6f8d7509292d603u, 0x45a9d2845d3c42b6u,
0x865b86925b9bc5c2u, 0x0b8a2392ba45a9b2u, 0xa7f26836f282b732u, 0x8e6cac7768d7141eu,
0xd1ef0244af2364ffu, 0x3207d795430cd926u, 0x8335616aed761f1fu, 0x7f44e6bd49e807b8u,
0xa402b9c5a8d3a6e7u, 0x5f16206c9c6209a6u, 0xcd036837130890a1u, 0x36dba887c37a8c0fu,
0x802221226be55a64u, 0xc2494954da2c9789u, 0xa02aa96b06deb0fdu, 0xf2db9baa10b7bd6cu,
0xc83553c5c8965d3du, 0x6f92829494e5acc7u, 0xfa42a8b73abbf48cu, 0xcb772339ba1f17f9u,
0x9c69a97284b578d7u, 0xff2a760414536efbu, 0xc38413cf25e2d70du, 0xfef5138519684abau,
0xf46518c2ef5b8cd1u, 0x7eb258665fc25d69u, 0x98bf2f79d5993802u, 0xef2f773ffbd97a61u,
0xbeeefb584aff8603u, 0xaafb550ffacfd8fau, 0xeeaaba2e5dbf6784u, 0x95ba2a53f983cf38u,
0x952ab45cfa97a0b2u, 0xdd945a747bf26183u, 0xba756174393d88dfu, 0x94f971119aeef9e4u,
0xe912b9d1478ceb17u, 0x7a37cd5601aab85du, 0x91abb422ccb812eeu, 0xac62e055c10ab33au,
0xb616a12b7fe617aau, 0x577b986b314d6009u, 0xe39c49765fdf9d94u, 0xed5a7e85fda0b80bu,
0x8e41ade9fbebc27du, 0x14588f13be847307u, 0xb1d219647ae6b31cu, 0x596eb2d8ae258fc8u,
0xde469fbd99a05fe3u, 0x6fca5f8ed9aef3bbu, 0x8aec23d680043beeu, 0x25de7bb9480d5854u,
0xada72ccc20054ae9u, 0xaf561aa79a10ae6au, 0xd910f7ff28069da4u, 0x1b2ba1518094da04u,
0x87aa9aff79042286u, 0x90fb44d2f05d0842u, 0xa99541bf57452b28u, 0x353a1607ac744a53u,
0xd3fa922f2d1675f2u, 0x42889b8997915ce8u, 0x847c9b5d7c2e09b7u, 0x69956135febada11u,
0xa59bc234db398c25u, 0x43fab9837e699095u, 0xcf02b2c21207ef2eu, 0x94f967e45e03f4bbu,
0x8161afb94b44f57du, 0x1d1be0eebac278f5u, 0xa1ba1ba79e1632dcu, 0x6462d92a69731732u,
0xca28a291859bbf93u, 0x7d7b8f7503cfdcfeu, 0xfcb2cb35e702af78u, 0x5cda735244c3d43eu,
0x9defbf01b061adabu, 0x3a0888136afa64a7u, 0xc56baec21c7a1916u, 0x088aaa1845b8fdd0u,
0xf6c69a72a3989f5bu, 0x8aad549e57273d45u, 0x9a3c2087a63f6399u, 0x36ac54e2f678864bu,
0xc0cb28a98fcf3c7fu, 0x84576a1bb416a7ddu, 0xf0fdf2d3f3c30b9fu, 0x656d44a2a11c51d5u,
0x969eb7c47859e743u, 0x9f644ae5a4b1b325u, 0xbc4665b596706114u, 0x873d5d9f0dde1feeu,
0xeb57ff22fc0c7959u, 0xa90cb506d155a7eau, 0x9316ff75dd87cbd8u, 0x09a7f12442d588f2u,
0xb7dcbf5354e9beceu, 0x0c11ed6d538aeb2fu, 0xe5d3ef282a242e81u, 0x8f1668c8a86da5fau,
0x8fa475791a569d10u, 0xf96e017d694487bcu, 0xb38d92d760ec4455u, 0x37c981dcc395a9acu,
0xe070f78d3927556au, 0x85bbe253f47b1417u, 0x8c469ab843b89562u, 0x93956d7478ccec8eu,
0xaf58416654a6babbu, 0x387ac8d1970027b2u, 0xdb2e51bfe9d0696au, 0x06997b05fcc0319eu,
0x88fcf317f22241e2u, 0x441fece3bdf81f03u, 0xab3c2fddeeaad25au, 0xd527e81cad7626c3u,
0xd60b3bd56a5586f1u, 0x8a71e223d8d3b074u, 0x85c7056562757456u, 0xf6872d5667844e49u,
0xa738c6bebb12d16cu, 0xb428f8ac016561dbu, 0xd106f86e69d785c7u, 0xe13336d701beba52u,
0x82a45b450226b39cu, 0xecc0024661173473u, 0xa34d721642b06084u, 0x27f002d7f95d0190u,
0xcc20ce9bd35c78a5u, 0x31ec038df7b441f4u, 0xff290242c83396ceu, 0x7e67047175a15271u,
0x9f79a169bd203e41u, 0x0f0062c6e984d386u, 0xc75809c42c684dd1u, 0x52c07b78a3e60868u,
0xf92e0c3537826145u, 0xa7709a56ccdf8a82u, 0x9bbcc7a142b17ccbu, 0x88a66076400bb691u,
0xc2abf989935ddbfeu, 0x6acff893d00ea435u, 0xf356f7ebf83552feu, 0x0583f6b8c4124d43u,
0x98165af37b2153deu, 0xc3727a337a8b704au, 0xbe1bf1b059e9a8d6u, 0x744f18c0592e4c5cu,
0xeda2ee1c7064130cu, 0x1162def06f79df73u, 0x9485d4d1c63e8be7u, 0x8addcb5645ac2ba8u,
0xb9a74a0637ce2ee1u, 0x6d953e2bd7173692u, 0xe8111c87c5c1ba99u, 0xc8fa8db6ccdd0437u,
0x910ab1d4db9914a0u, 0x1d9c9892400a22a2u, 0xb54d5e4a127f59c8u, 0x2503beb6d00cab4bu,
0xe2a0b5dc971f303au, 0x2e44ae64840fd61du, 0x8da471a9de737e24u, 0x5ceaecfed289e5d2u,
0xb10d8e1456105dadu, 0x7425a83e872c5f47u, 0xdd50f1996b947518u, 0xd12f124e28f77719u,
0x8a5296ffe33cc92fu, 0x82bd6b70d99aaa6fu, 0xace73cbfdc0bfb7bu, 0x636cc64d1001550bu,
0xd8210befd30efa5au, 0x3c47f7e05401aa4eu, 0x8714a775e3e95c78u, 0x65acfaec34810a71u,
0xa8d9d1535ce3b396u, 0x7f1839a741a14d0du, 0xd31045a8341ca07cu, 0x1ede48111209a050u,
0x83ea2b892091e44du, 0x934aed0aab460432u, 0xa4e4b66b68b65d60u, 0xf81da84d5617853fu,
0xce1de40642e3f4b9u, 0x36251260ab9d668eu, 0x80d2ae83e9ce78f3u, 0xc1d72b7c6b426019u,
0xa1075a24e4421730u, 0xb24cf65b8612f81fu, 0xc94930ae1d529cfcu, 0xdee033f26797b627u,
0xfb9b7cd9a4a7443cu, 0x169840ef017da3b1u, 0x9d412e0806e88aa5u, 0x8e1f289560ee864eu,
0xc491798a08a2ad4eu, 0xf1a6f2bab92a27e2u, 0xf5b5d7ec8acb58a2u, 0xae10af696774b1dbu,
0x9991a6f3d6bf1765u, 0xacca6da1e0a8ef29u, 0xbff610b0cc6edd3fu, 0x17fd090a58d32af3u,
0xeff394dcff8a948eu, 0xddfc4b4cef07f5b0u, 0x95f83d0a1fb69cd9u, 0x4abdaf101564f98eu,
0xbb764c4ca7a4440fu, 0x9d6d1ad41abe37f1u, 0xea53df5fd18d5513u, 0x84c86189216dc5edu,
0x92746b9be2f8552cu, 0x32fd3cf5b4e49bb4u, 0xb7118682dbb66a77u, 0x3fbc8c33221dc2a1u,
0xe4d5e82392a40515u, 0x0fabaf3feaa5334au, 0x8f05b1163ba6832du, 0x29cb4d87f2a7400eu,
0xb2c71d5bca9023f8u, 0x743e20e9ef511012u, 0xdf78e4b2bd342cf6u, 0x914da9246b255416u,
0x8bab8eefb6409c1au, 0x1ad089b6c2f7548eu, 0xae9672aba3d0c320u, 0xa184ac2473b529b1u,
0xda3c0f568cc4f3e8u, 0xc9e5d72d90a2741eu, 0x8865899617fb1871u, 0x7e2fa67c7a658892u,
0xaa7eebfb9df9de8du, 0xddbb901b98feeab7u, 0xd51ea6fa85785631u, 0x552a74227f3ea565u,
0x8533285c936b35deu, 0xd53a88958f87275fu, 0xa67ff273b8460356u, 0x8a892abaf368f137u,
0xd01fef10a657842cu, 0x2d2b7569b0432d85u, 0x8213f56a67f6b29bu, 0x9c3b29620e29fc73u,
0xa298f2c501f45f42u, 0x8349f3ba91b47b8fu, 0xcb3f2f7642717713u, 0x241c70a936219a73u,
0xfe0efb53d30dd4d7u, 0xed238cd383aa0110u, 0x9ec95d1463e8a506u, 0xf4363804324a40aau,
0xc67bb4597ce2ce48u, 0xb143c6053edcd0d5u, 0xf81aa16fdc1b81dau, 0xdd94b7868e94050au,
0x9b10a4e5e9913128u, 0xca7cf2b4191c8326u, 0xc1d4ce1f63f57d72u, 0xfd1c2f611f63a3f0u,
0xf24a01a73cf2dccfu, 0xbc633b39673c8cecu, 0x976e41088617ca01u, 0xd5be0503e085d813u,
0xbd49d14aa79dbc82u, 0x4b2d8644d8a74e18u, 0xec9c459d51852ba2u, 0xddf8e7d60ed1219eu,
0x93e1ab8252f33b45u, 0xcabb90e5c942b503u, 0xb8da1662e7b00a17u, 0x3d6a751f3b936243u,
0xe7109bfba19c0c9du, 0x0cc512670a783ad4u, 0x906a617d450187e2u, 0x27fb2b80668b24c5u,
0xb484f9dc9641e9dau, 0xb1f9f660802dedf6u, 0xe1a63853bbd26451u, 0x5e7873f8a0396973u,
0x8d07e33455637eb2u, 0xdb0b487b6423e1e8u, 0xb049dc016abc5e5fu, 0x91ce1a9a3d2cda62u,
0xdc5c5301c56b75f7u, 0x7641a140cc7810fbu, 0x89b9b3e11b6329bau, 0xa9e904c87fcb0a9du,
0xac2820d9623bf429u, 0x546345fa9fbdcd44u, 0xd732290fbacaf133u, 0xa97c177947ad4095u,
0x867f59a9d4bed6c0u, 0x49ed8eabcccc485du, 0xa81f301449ee8c70u, 0x5c68f256bfff5a74u,
0xd226fc195c6a2f8cu, 0x73832eec6fff3111u, 0x83585d8fd9c25db7u, 0xc831fd53c5ff7eabu,
0xa42e74f3d032f525u, 0xba3e7ca8b77f5e55u, 0xcd3a1230c43fb26fu, 0x28ce1bd2e55f35ebu,
0x80444b5e7aa7cf85u, 0x7980d163cf5b81b3u, 0xa0555e361951c366u, 0xd7e105bcc332621fu,
0xc86ab5c39fa63440u, 0x8dd9472bf3fefaa7u, 0xfa856334878fc150u, 0xb14f98f6f0feb951u,
0x9c935e00d4b9d8d2u, 0x6ed1bf9a569f33d3u, 0xc3b8358109e84f07u, 0x0a862f80ec4700c8u,
0xf4a642e14c6262c8u, 0xcd27bb612758c0fau, 0x98e7e9cccfbd7dbdu, 0x8038d51cb897789cu,
0xbf21e44003acdd2cu, 0xe0470a63e6bd56c3u, 0xeeea5d5004981478u, 0x1858ccfce06cac74u,
0x95527a5202df0ccbu, 0x0f37801e0c43ebc8u, 0xbaa718e68396cffdu, 0xd30560258f54e6bau,
0xe950df20247c83fdu, 0x47c6b82ef32a2069u, 0x91d28b7416cdd27eu, 0x4cdc331d57fa5441u,
0xb6472e511c81471du, 0xe0133fe4adf8e952u, 0xe3d8f9e563a198e5u, 0x58180fddd97723a6u,
0x8e679c2f5e44ff8fu, 0x570f09eaa7ea7648u,
}
};
return table;
}
} // namespace detail
NLOHMANN_JSON_NAMESPACE_END
+23 -28
View File
@@ -12,6 +12,7 @@
#include <cstdint> // uint64_t
#include <cstring> // memcpy
#include <nlohmann/detail/bit_ops.hpp>
#include <nlohmann/detail/macro_scope.hpp>
// Optional SIMD backend for bulk UTF-8 validation. This is an opt-in external
@@ -69,18 +70,12 @@ inline std::size_t find_string_special(const unsigned char* data, std::size_t n)
std::size_t i = 0;
for (; i + 8 <= n; i += 8)
{
std::uint64_t word = 0;
std::memcpy(&word, data + i, sizeof(word));
if (swar_string_special(word) != 0)
const std::uint64_t special = swar_string_special(read_eight_bytes(data + i));
if (special != 0)
{
// a special byte is in this word; locate it (endian-agnostic)
for (std::size_t j = 0; j < 8; ++j)
{
if (is_string_special(data[i + j]))
{
return i + j;
}
}
// the lowest flagged byte is the first special one: the borrows of
// the subtractions can only flag bytes above a true hit
return i + (static_cast<std::size_t>(count_trailing_zeros(special)) / 8);
}
}
for (; i < n; ++i)
@@ -114,8 +109,7 @@ inline std::size_t find_ascii_copyable_run(const unsigned char* data, std::size_
std::size_t i = 0;
for (; i + 8 <= n; i += 8)
{
std::uint64_t v = 0;
std::memcpy(&v, data + i, sizeof(v));
const std::uint64_t v = read_eight_bytes(data + i);
const std::uint64_t q = v ^ 0x2222222222222222ull; // '"' (0x22)
const std::uint64_t b = v ^ 0x5C5C5C5C5C5C5C5Cull; // '\\' (0x5C)
const std::uint64_t d = v ^ 0x7F7F7F7F7F7F7F7Full; // DEL (0x7F)
@@ -126,7 +120,9 @@ inline std::size_t find_ascii_copyable_run(const unsigned char* data, std::size_
| (v & high); // >= 0x80
if (stop != 0)
{
break;
// the lowest flagged byte is the first one to stop at (see
// find_string_special())
return i + (static_cast<std::size_t>(count_trailing_zeros(stop)) / 8);
}
}
for (; i < n; ++i)
@@ -253,12 +249,18 @@ inline std::size_t scalar_string_bulk_run(const unsigned char* data, std::size_t
{
break; // end of buffer, or a quote/escape/control byte
}
const std::size_t seq = validate_one_utf8(data + pos, n - pos);
if (seq == 0)
// a run of multi-byte sequences (e.g. CJK text) is validated sequence
// by sequence without searching for the next special byte in between
do
{
break; // ill-formed or truncated: let the byte path diagnose it
const std::size_t seq = validate_one_utf8(data + pos, n - pos);
if (seq == 0)
{
return pos; // ill-formed or truncated: let the byte path diagnose it
}
pos += seq;
}
pos += seq;
while (pos < n && data[pos] >= 0x80u);
}
return pos;
}
@@ -273,8 +275,7 @@ inline std::size_t find_string_delimiter(const unsigned char* data, std::size_t
std::size_t i = 0;
for (; i + 8 <= n; i += 8)
{
std::uint64_t v = 0;
std::memcpy(&v, data + i, sizeof(v));
const std::uint64_t v = read_eight_bytes(data + i);
const std::uint64_t q = v ^ 0x2222222222222222ull;
const std::uint64_t b = v ^ 0x5C5C5C5C5C5C5C5Cull;
const std::uint64_t hit = ((q - ones) & ~q & high)
@@ -282,14 +283,8 @@ inline std::size_t find_string_delimiter(const unsigned char* data, std::size_t
| ((v - 0x2020202020202020ull) & ~v & high);
if (hit != 0)
{
for (std::size_t j = 0; j < 8; ++j)
{
const unsigned char c = data[i + j];
if (c == '\"' || c == '\\' || c < 0x20u)
{
return i + j;
}
}
// the lowest flagged byte is the first delimiter (see find_string_special())
return i + (static_cast<std::size_t>(count_trailing_zeros(hit)) / 8);
}
}
for (; i < n; ++i)
File diff suppressed because it is too large Load Diff
+707
View File
@@ -12,10 +12,14 @@
#include <nlohmann/json.hpp>
using nlohmann::json;
#include <array> // array
#include <cfloat> // FLT_EVAL_METHOD
#include <cstdint> // uint32_t, uint64_t
#include <cstdlib> // strtod
#include <cstring> // memcpy
#include <sstream> // stringstream
#include <string> // string
#include <utility> // pair
#include <vector> // vector
namespace
@@ -700,3 +704,706 @@ TEST_CASE("parse_float_fast declines what it cannot convert exactly")
CHECK_FALSE(fast("1e23", out));
CHECK_FALSE(fast("1e-23", out));
}
namespace
{
// arbitrary-precision unsigned integers, just enough to recompute the table of
// powers of five (little-endian 32-bit limbs)
using big_uint = std::vector<std::uint32_t>;
void big_trim(big_uint& a)
{
while (!a.empty() && a.back() == 0)
{
a.pop_back();
}
}
big_uint big_from(std::uint64_t high, std::uint64_t low)
{
big_uint a = {static_cast<std::uint32_t>(low), static_cast<std::uint32_t>(low >> 32u),
static_cast<std::uint32_t>(high), static_cast<std::uint32_t>(high >> 32u)
};
big_trim(a);
return a;
}
big_uint big_mul(const big_uint& a, const big_uint& b)
{
big_uint r(a.size() + b.size(), 0);
for (std::size_t i = 0; i < a.size(); ++i)
{
std::uint64_t carry = 0;
for (std::size_t j = 0; j < b.size(); ++j)
{
const std::uint64_t t = (static_cast<std::uint64_t>(a[i]) * b[j]) + r[i + j] + carry;
r[i + j] = static_cast<std::uint32_t>(t);
carry = t >> 32u;
}
r[i + b.size()] = static_cast<std::uint32_t>(carry);
}
big_trim(r);
return r;
}
big_uint big_shl(const big_uint& a, std::size_t s)
{
big_uint r(s / 32, 0);
std::uint32_t carry = 0;
for (const std::uint32_t x : a)
{
const std::uint64_t t = static_cast<std::uint64_t>(x) << (s % 32);
r.push_back(static_cast<std::uint32_t>(t) | carry);
carry = static_cast<std::uint32_t>(t >> 32u);
}
r.push_back(carry);
big_trim(r);
return r;
}
// a + 1 (add) or a - 1 (!add, a > 0)
big_uint big_step(big_uint a, bool add)
{
for (auto& x : a)
{
const std::uint32_t old = x;
x = add ? x + 1 : x - 1;
if ((add && x > old) || (!add && x < old))
{
break;
}
}
if (add && (a.empty() || a.back() == 0))
{
a.push_back(1);
}
big_trim(a);
return a;
}
bool big_less_equal(const big_uint& a, const big_uint& b)
{
if (a.size() != b.size())
{
return a.size() < b.size();
}
for (std::size_t i = a.size(); i-- > 0;)
{
if (a[i] != b[i])
{
return a[i] < b[i];
}
}
return true;
}
std::size_t big_bit_length(const big_uint& a)
{
std::size_t n = a.size() * 32;
for (std::uint32_t top = a.back(); (top & 0x80000000u) == 0; top <<= 1u)
{
--n;
}
return n;
}
std::uint64_t bits_of(double d)
{
std::uint64_t b = 0;
std::memcpy(&b, &d, sizeof(b));
return b;
}
bool eisel_lemire(const std::string& s, double& out)
{
return nlohmann::detail::parse_float_eisel_lemire(s.data(), s.data() + s.size(), out);
}
// significant digits of a token, without trailing zeros
std::size_t significant_digits(const std::string& s)
{
std::string digits;
for (const char c : s)
{
if (c == 'e' || c == 'E')
{
break;
}
if (c >= '0' && c <= '9' && !(digits.empty() && c == '0'))
{
digits += c;
}
}
while (!digits.empty() && digits.back() == '0')
{
digits.pop_back();
}
return digits.size();
}
} // namespace
TEST_CASE("Eisel-Lemire float conversion")
{
SECTION("the table of powers of five")
{
// Recompute every entry the way fast_float's table_generation.py
// defines it, using only multiplications and comparisons: for q >= 0
// the most significant 128 bits of 5^q; for q < 0 floor(2^b / 5^-q) + 1
// for b = z + 127 (q >= -27), or that value for b = 2z + 128 cut to
// its most significant 128 bits (q < -27), where z is the bit length
// of 5^-q.
const auto& table = nlohmann::detail::pow5_128();
big_uint power5 = {1};
for (std::int64_t q = 0; q <= nlohmann::detail::pow5_128_largest_power; ++q)
{
const auto index = static_cast<std::size_t>(2 * (q - nlohmann::detail::pow5_128_smallest_power));
const big_uint entry = big_from(table[index], table[index + 1]);
const std::size_t bits = big_bit_length(power5);
if (bits <= 128)
{
CHECK(entry == big_shl(power5, 128 - bits));
}
else
{
// floor(5^q / 2^(bits - 128))
CHECK(big_less_equal(big_shl(entry, bits - 128), power5));
CHECK_FALSE(big_less_equal(big_shl(big_step(entry, true), bits - 128), power5));
}
power5 = big_mul(power5, {5});
}
power5 = {5};
for (std::int64_t q = -1; q >= nlohmann::detail::pow5_128_smallest_power; --q)
{
const auto index = static_cast<std::size_t>(2 * (q - nlohmann::detail::pow5_128_smallest_power));
const big_uint entry = big_from(table[index], table[index + 1]);
CHECK(big_bit_length(entry) == 128);
const std::size_t z = big_bit_length(power5);
const big_uint two_b = big_shl({1}, q >= -27 ? z + 127 : (2 * z) + 128);
// c = floor(2^b / p) + 1, stored as floor(c / 2^s):
// (entry * 2^s - 1) * p <= 2^b < ((entry + 1) * 2^s - 1) * p
const std::size_t s = q >= -27 ? 0 : z + 1;
CHECK(big_less_equal(big_mul(big_step(big_shl(entry, s), false), power5), two_b));
CHECK_FALSE(big_less_equal(big_mul(big_step(big_shl(big_step(entry, true), s), false), power5), two_b));
power5 = big_mul(power5, {5});
}
}
SECTION("128-bit products and leading zeros")
{
// whichever implementation the compiler gets (with or without a
// 128-bit integer type or a builtin)
std::uint64_t state = 42;
for (int i = 0; i < 10000; ++i)
{
state ^= state << 13u;
state ^= state >> 7u;
state ^= state << 17u;
const std::uint64_t a = state;
const std::uint64_t b = (state * 0x9E3779B97F4A7C15u) >> (i % 64);
const auto product = nlohmann::detail::full_multiplication(a, b);
CHECK(big_from(product.high, product.low) == big_mul(big_from(0, a), big_from(0, b)));
const int k = i % 64;
const std::uint64_t x = (std::uint64_t{1} << k) | (a & ((std::uint64_t{1} << k) - 1));
CHECK(nlohmann::detail::count_leading_zeros(x) == 63 - k);
}
}
SECTION("known values")
{
// Generated with Python, whose float() is correctly rounded:
// cases = [<hard cases>, 2**53 + 2k + 1, 2**54 + 4k + 2, and exact midpoints
// between neighbouring doubles, also 1e-60 above and below them]
// print('{"%s", 0x%016xu},' % (s, struct.unpack('<Q', struct.pack('<d', float(s)))[0]))
const std::vector<std::pair<std::string, std::uint64_t>> known =
{
{"0", 0x0000000000000000u},
{"-0", 0x8000000000000000u},
{"0.0", 0x0000000000000000u},
{"-0.0", 0x8000000000000000u},
{"0e5", 0x0000000000000000u},
{"0.000e-9", 0x0000000000000000u},
{"1", 0x3ff0000000000000u},
{"-1", 0xbff0000000000000u},
{"0.1", 0x3fb999999999999au},
{"0.3", 0x3fd3333333333333u},
{"1.5", 0x3ff8000000000000u},
{"-2.5e-3", 0xbf647ae147ae147bu},
{"1e23", 0x44b52d02c7e14af6u},
{"1e22", 0x4480f0cf064dd592u},
{"8.98846567431158e307", 0x7fe0000000000000u},
{"2.2250738585072011e-308", 0x000fffffffffffffu},
{"2.2250738585072012e-308", 0x0010000000000000u},
{"2.2250738585072014e-308", 0x0010000000000000u},
{"4.9406564584124654e-324", 0x0000000000000001u},
{"2.4703282292062327e-324", 0x0000000000000000u},
{"2.4703282292062328e-324", 0x0000000000000001u},
{"1e-324", 0x0000000000000000u},
{"3e-324", 0x0000000000000001u},
{"1.7976931348623157e308", 0x7fefffffffffffffu},
{"1.7976931348623158e308", 0x7fefffffffffffffu},
{"1.7976931348623159e308", 0x7ff0000000000000u},
{"1e308", 0x7fe1ccf385ebc8a0u},
{"1e309", 0x7ff0000000000000u},
{"-1e400", 0xfff0000000000000u},
{"1e-400", 0x0000000000000000u},
{"9007199254740991", 0x433fffffffffffffu},
{"9007199254740992", 0x4340000000000000u},
{"9007199254740993", 0x4340000000000000u},
{"9007199254740995", 0x4340000000000002u},
{"18014398509481986", 0x4350000000000000u},
{"18014398509481990", 0x4350000000000002u},
{"7.2057594037927933e16", 0x4370000000000000u},
{"123456789012345678901234567890", 0x45f8ee90ff6c373eu},
{"1.000000000000000111", 0x3ff0000000000000u},
{"1.0000000000000001110223", 0x3ff0000000000000u},
{"1.00000000000000011102230246251565404236316680908203125", 0x3ff0000000000000u},
{"1.00000000000000011102230246251565404236316680908203126", 0x3ff0000000000001u},
{"0.00000000000000000000000000000000000000000000000000000000000001", 0x3310747ddddf22a8u},
{"100000000000000000000000000000000000000000000", 0x4911efc659cf7d4cu},
{"1234567890123456789", 0x43b12210f47de981u},
{"12345678901234567890", 0x43e56a95319d63e1u},
{"1234567890123456789.5", 0x43b12210f47de981u},
{"0.1234567890123456789012345", 0x3fbf9add3746f65fu},
{"4.4501477170144023e-308", 0x001fffffffffffffu},
{"2.4406961166466664e-309", 0x0001c14ae5310a48u},
{"5e-324", 0x0000000000000001u},
{"1.0e-307", 0x0031fa182c40c60du},
{"179769313486231570814527423731704356798070567525844996598917476803157260780028538760589558632766878171540458953514382464234321326889464182768467546703537516986049910576551282076245490090389328944075868508455133942304583236903222948165808559332123348274797826204144723168738177180919299881250404026184124858368", 0x7fefffffffffffffu},
{"4.9e-324", 0x0000000000000001u},
{"9007199254740993", 0x4340000000000000u},
{"18014398509481986", 0x4350000000000000u},
{"9007199254740995", 0x4340000000000002u},
{"18014398509481990", 0x4350000000000002u},
{"9007199254740997", 0x4340000000000002u},
{"18014398509481994", 0x4350000000000002u},
{"9007199254740999", 0x4340000000000004u},
{"18014398509481998", 0x4350000000000004u},
{"9007199254741001", 0x4340000000000004u},
{"18014398509482002", 0x4350000000000004u},
{"9007199254741003", 0x4340000000000006u},
{"18014398509482006", 0x4350000000000006u},
{"9007199254741005", 0x4340000000000006u},
{"18014398509482010", 0x4350000000000006u},
{"9007199254741007", 0x4340000000000008u},
{"18014398509482014", 0x4350000000000008u},
{"9007199254741009", 0x4340000000000008u},
{"18014398509482018", 0x4350000000000008u},
{"9007199254741011", 0x434000000000000au},
{"18014398509482022", 0x435000000000000au},
{"9007199254741013", 0x434000000000000au},
{"18014398509482026", 0x435000000000000au},
{"9007199254741015", 0x434000000000000cu},
{"18014398509482030", 0x435000000000000cu},
{"9007199254741017", 0x434000000000000cu},
{"18014398509482034", 0x435000000000000cu},
{"9007199254741019", 0x434000000000000eu},
{"18014398509482038", 0x435000000000000eu},
{"9007199254741021", 0x434000000000000eu},
{"18014398509482042", 0x435000000000000eu},
{"9007199254741023", 0x4340000000000010u},
{"18014398509482046", 0x4350000000000010u},
{"9007199254741025", 0x4340000000000010u},
{"18014398509482050", 0x4350000000000010u},
{"9007199254741027", 0x4340000000000012u},
{"18014398509482054", 0x4350000000000012u},
{"9007199254741029", 0x4340000000000012u},
{"18014398509482058", 0x4350000000000012u},
{"9007199254741031", 0x4340000000000014u},
{"18014398509482062", 0x4350000000000014u},
{"9007199254741033", 0x4340000000000014u},
{"18014398509482066", 0x4350000000000014u},
{"9007199254741035", 0x4340000000000016u},
{"18014398509482070", 0x4350000000000016u},
{"9007199254741037", 0x4340000000000016u},
{"18014398509482074", 0x4350000000000016u},
{"9007199254741039", 0x4340000000000018u},
{"18014398509482078", 0x4350000000000018u},
{"9007199254741041", 0x4340000000000018u},
{"18014398509482082", 0x4350000000000018u},
{"9007199254741043", 0x434000000000001au},
{"18014398509482086", 0x435000000000001au},
{"9007199254741045", 0x434000000000001au},
{"18014398509482090", 0x435000000000001au},
{"9007199254741047", 0x434000000000001cu},
{"18014398509482094", 0x435000000000001cu},
{"9007199254741049", 0x434000000000001cu},
{"18014398509482098", 0x435000000000001cu},
{"9007199254741051", 0x434000000000001eu},
{"18014398509482102", 0x435000000000001eu},
{"9007199254741053", 0x434000000000001eu},
{"18014398509482106", 0x435000000000001eu},
{"9007199254741055", 0x4340000000000020u},
{"18014398509482110", 0x4350000000000020u},
{"9007199254741057", 0x4340000000000020u},
{"18014398509482114", 0x4350000000000020u},
{"9007199254741059", 0x4340000000000022u},
{"18014398509482118", 0x4350000000000022u},
{"9007199254741061", 0x4340000000000022u},
{"18014398509482122", 0x4350000000000022u},
{"9007199254741063", 0x4340000000000024u},
{"18014398509482126", 0x4350000000000024u},
{"9007199254741065", 0x4340000000000024u},
{"18014398509482130", 0x4350000000000024u},
{"9007199254741067", 0x4340000000000026u},
{"18014398509482134", 0x4350000000000026u},
{"9007199254741069", 0x4340000000000026u},
{"18014398509482138", 0x4350000000000026u},
{"9007199254741071", 0x4340000000000028u},
{"18014398509482142", 0x4350000000000028u},
{"0.00000000000000000142055942108419951085063380808124102279024543292671443374397544090470546507276594638824462890625", 0x3c3a3466f662d406u},
{"0.000000000000000001420559421084199510850633808081241022790245432926714433743975440904705465072765946388244628906251", 0x3c3a3466f662d407u},
{"0.00000000000000000142055942108419951085063380808124102279024543292671443374397444090470546507276594638824462890625", 0x3c3a3466f662d406u},
{"8656.5250079159513916238211095333099365234375", 0x40c0e84333759a94u},
{"8656.52500791595139162382110953330993652343751", 0x40c0e84333759a94u},
{"8656.525007915951391623821109533309936523437499999999999999999", 0x40c0e84333759a93u},
{"13.07696731650454946560557800694368779659271240234375", 0x402a276842967ef0u},
{"13.076967316504549465605578006943687796592712402343751", 0x402a276842967ef0u},
{"13.07696731650454946560557800694368779659271240234374999999999", 0x402a276842967eefu},
{"74708253715391928", 0x437096ac2cc7ee5cu},
{"747082537153919281", 0x43a4bc5737f9e9f2u},
{"74708253715391927.99999999999999999999999999999999999999999999", 0x437096ac2cc7ee5bu},
{"1809802988.27203977108001708984375", 0x41daf7d9bb11691au},
{"1809802988.272039771080017089843751", 0x41daf7d9bb11691au},
{"1809802988.272039771080017089843749999999999999999999999999999", 0x41daf7d9bb116919u},
{"51.390809684186766759239617385901510715484619140625", 0x4049b2060d3e4568u},
{"51.3908096841867667592396173859015107154846191406251", 0x4049b2060d3e4569u},
{"51.39080968418676675923961738590151071548461914062499999999999", 0x4049b2060d3e4568u},
{"9999807412.59738445281982421875", 0x4202a0479da4c772u},
{"9999807412.597384452819824218751", 0x4202a0479da4c772u},
{"9999807412.597384452819824218749999999999999999999999999999999", 0x4202a0479da4c771u},
{"0.00000000023260971767101600534534272272645127367651785021962496102787554264068603515625", 0x3deff83a135dec10u},
{"0.000000000232609717671016005345342722726451273676517850219624961027875542640686035156251", 0x3deff83a135dec11u},
{"0.00000000023260971767101600534534272272645127367651785021962496102787544264068603515625", 0x3deff83a135dec10u},
{"0.000000000497610482021202508216234789619066523902457532813059515319764614105224609375", 0x3e01190730d1ec48u},
{"0.0000000004976104820212025082162347896190665239024575328130595153197646141052246093751", 0x3e01190730d1ec48u},
{"0.000000000497610482021202508216234789619066523902457532813059515319764514105224609375", 0x3e01190730d1ec47u},
{"0.0000000000291336422596533830691676779231223432149733287843673679162748157978057861328125", 0x3dc004321559736eu},
{"0.00000000002913364225965338306916767792312234321497332878436736791627481579780578613281251", 0x3dc004321559736fu},
{"0.0000000000291336422596533830691676779231223432149733287843673679162748057978057861328125", 0x3dc004321559736eu},
{"0.000000000000000039237155154865396441907405399546892080260012902422940561653064150959835387766361236572265625", 0x3c869e61cfa3b8a4u},
{"0.0000000000000000392371551548653964419074053995468920802600129024229405616530641509598353877663612365722656251", 0x3c869e61cfa3b8a5u},
{"0.000000000000000039237155154865396441907405399546892080260012902422940561653054150959835387766361236572265625", 0x3c869e61cfa3b8a4u},
{"0.00000000000000006496592863767266414092845207857846208631635335985395063307379359685000963509082794189453125", 0x3c92b9a3b219ee84u},
{"0.000000000000000064965928637672664140928452078578462086316353359853950633073793596850009635090827941894531251", 0x3c92b9a3b219ee85u},
{"0.00000000000000006496592863767266414092845207857846208631635335985395063307378359685000963509082794189453125", 0x3c92b9a3b219ee84u},
{"0.0000000000448169607439179753541822628688597626549217078917308754171244800090789794921875", 0x3dc8a36d2e8094dau},
{"0.00000000004481696074391797535418226286885976265492170789173087541712448000907897949218751", 0x3dc8a36d2e8094dau},
{"0.0000000000448169607439179753541822628688597626549217078917308754171244700090789794921875", 0x3dc8a36d2e8094d9u},
{"1800873890234250.875", 0x4319978a820cfe2cu},
{"1800873890234250.8751", 0x4319978a820cfe2cu},
{"1800873890234250.874999999999999999999999999999999999999999999", 0x4319978a820cfe2bu},
{"0.000023941132739153309216405436654628857695570331998169422149658203125", 0x3ef91aa61d42e0e0u},
{"0.0000239411327391533092164054366546288576955703319981694221496582031251", 0x3ef91aa61d42e0e1u},
{"0.000023941132739153309216405436654628857695570331998169422149658193125", 0x3ef91aa61d42e0e0u},
{"8339818978785937.5", 0x433da1056bb8ba92u},
{"8339818978785937.51", 0x433da1056bb8ba92u},
{"8339818978785937.499999999999999999999999999999999999999999999", 0x433da1056bb8ba91u},
{"283649145986385328", 0x438f7dcb29dae42eu},
{"2836491459863853281", 0x43c3ae9efa28ce9cu},
{"283649145986385327.9999999999999999999999999999999999999999999", 0x438f7dcb29dae42du},
{"0.0000000000000000004203729478287971874304476341685497759528753070014375965192388040492232903488911688327789306640625", 0x3c1f049ed78cb8a2u},
{"0.00000000000000000042037294782879718743044763416854977595287530700143759651923880404922329034889116883277893066406251", 0x3c1f049ed78cb8a3u},
{"0.0000000000000000004203729478287971874304476341685497759528753070014375965192387040492232903488911688327789306640625", 0x3c1f049ed78cb8a2u},
{"340031.78635183119331486523151397705078125", 0x4114c0ff25396a18u},
{"340031.786351831193314865231513977050781251", 0x4114c0ff25396a19u},
{"340031.7863518311933148652315139770507812499999999999999999999", 0x4114c0ff25396a18u},
{"0.0000000004543709717853330820053712055931242029538363880192264332436025142669677734375", 0x3dff3960f070bf76u},
{"0.00000000045437097178533308200537120559312420295383638801922643324360251426696777343751", 0x3dff3960f070bf76u},
{"0.0000000004543709717853330820053712055931242029538363880192264332436024142669677734375", 0x3dff3960f070bf75u},
{"0.0000000000007937958898451257082591244100968761704503924570008877026339177973568439483642578125", 0x3d6bede0b40e37c2u},
{"0.00000000000079379588984512570825912441009687617045039245700088770263391779735684394836425781251", 0x3d6bede0b40e37c3u},
{"0.0000000000007937958898451257082591244100968761704503924570008877026339176973568439483642578125", 0x3d6bede0b40e37c2u},
{"0.00000000000000068304843500200357021582520000166071595321259251644419041582523277611471712589263916015625", 0x3cc89c02848f8654u},
{"0.000000000000000683048435002003570215825200001660715953212592516444190415825232776114717125892639160156251", 0x3cc89c02848f8655u},
{"0.00000000000000068304843500200357021582520000166071595321259251644419041582513277611471712589263916015625", 0x3cc89c02848f8654u},
{"0.00000000147705080029041786940146712084494760863773166192913777194917201995849609375", 0x3e1960235bc34d06u},
{"0.000000001477050800290417869401467120844947608637731661929137771949172019958496093751", 0x3e1960235bc34d06u},
{"0.00000000147705080029041786940146712084494760863773166192913777194917101995849609375", 0x3e1960235bc34d05u},
{"2164972979236447104", 0x43be0b87743fb524u},
{"21649729792364471041", 0x43f2c734a8a7d136u},
{"2164972979236447103.999999999999999999999999999999999999999999", 0x43be0b87743fb523u},
{"13124633159586767", 0x4347506464a469e8u},
{"131246331595867671", 0x437d247d7dcd8461u},
{"13124633159586766.99999999999999999999999999999999999999999999", 0x4347506464a469e7u},
{"0.000000000000027605165650764659887597286048864477738779108113853499872902830247767269611358642578125", 0x3d1f14a5b417cb08u},
{"0.0000000000000276051656507646598875972860488644777387791081138534998729028302477672696113586425781251", 0x3d1f14a5b417cb09u},
{"0.000000000000027605165650764659887597286048864477738779108113853499872902820247767269611358642578125", 0x3d1f14a5b417cb08u},
{"0.01727792833395616796388072344825559412129223346710205078125", 0x3f91b14e248c42c8u},
{"0.017277928333956167963880723448255594121292233467102050781251", 0x3f91b14e248c42c9u},
{"0.01727792833395616796388072344825559412129223346710205078124999", 0x3f91b14e248c42c8u},
{"0.00000000000003096211381890547702500862566064822950373937142376501441276559489779174327850341796875", 0x3d216e1c61130b22u},
{"0.000000000000030962113818905477025008625660648229503739371423765014412765594897791743278503417968751", 0x3d216e1c61130b22u},
{"0.00000000000003096211381890547702500862566064822950373937142376501441276558489779174327850341796875", 0x3d216e1c61130b21u},
{"0.0000000000000683414954481284270259359974108983284531919182025472281338807079009711742401123046875", 0x3d333c86137e5170u},
{"0.00000000000006834149544812842702593599741089832845319191820254722813388070790097117424011230468751", 0x3d333c86137e5170u},
{"0.0000000000000683414954481284270259359974108983284531919182025472281338806979009711742401123046875", 0x3d333c86137e516fu},
{"3237539054990129.75", 0x4327010c9aa36664u},
{"3237539054990129.751", 0x4327010c9aa36664u},
{"3237539054990129.749999999999999999999999999999999999999999999", 0x4327010c9aa36663u},
{"0.0000000000000105429301486355911969397173440055240907798901443814809653076736140064895153045654296875", 0x3d07bd95dfb8a1eeu},
{"0.00000000000001054293014863559119693971734400552409077989014438148096530767361400648951530456542968751", 0x3d07bd95dfb8a1eeu},
{"0.0000000000000105429301486355911969397173440055240907798901443814809653076636140064895153045654296875", 0x3d07bd95dfb8a1edu},
{"9460.2061893763575426419265568256378173828125", 0x40c27a1a6469da1eu},
{"9460.20618937635754264192655682563781738281251", 0x40c27a1a6469da1fu},
{"9460.206189376357542641926556825637817382812499999999999999999", 0x40c27a1a6469da1eu},
{"465000373656610.53125", 0x42fa6ea56179c228u},
{"465000373656610.531251", 0x42fa6ea56179c229u},
{"465000373656610.5312499999999999999999999999999999999999999999", 0x42fa6ea56179c228u},
{"0.000000000107709773707743713401260815383950956818093214195641849073581397533416748046875", 0x3ddd9b66c974bb14u},
{"0.0000000001077097737077437134012608153839509568180932141956418490735813975334167480468751", 0x3ddd9b66c974bb14u},
{"0.000000000107709773707743713401260815383950956818093214195641849073581297533416748046875", 0x3ddd9b66c974bb13u},
{"0.012083347821554271152300064073870089487172663211822509765625", 0x3f88bf277dc215f4u},
{"0.0120833478215542711523000640738700894871726632118225097656251", 0x3f88bf277dc215f5u},
{"0.01208334782155427115230006407387008948717266321182250976562499", 0x3f88bf277dc215f4u},
{"2309804058391724800", 0x43c0070946d098e2u},
{"23098040583917248001", 0x43f408cb9884bf1au},
{"2309804058391724799.999999999999999999999999999999999999999999", 0x43c0070946d098e1u},
{"0.000000000078286047058220682019445698291671103911937290575906445155851542949676513671875", 0x3dd584e40ca80638u},
{"0.0000000000782860470582206820194456982916711039119372905759064451558515429496765136718751", 0x3dd584e40ca80638u},
{"0.000000000078286047058220682019445698291671103911937290575906445155851532949676513671875", 0x3dd584e40ca80637u},
{"2940024994425.709228515625", 0x4285643929d3cdacu},
{"2940024994425.7092285156251", 0x4285643929d3cdadu},
{"2940024994425.709228515624999999999999999999999999999999999999", 0x4285643929d3cdacu},
{"9503358.427352792583405971527099609375", 0x4162204fcdacdfc4u},
{"9503358.4273527925834059715270996093751", 0x4162204fcdacdfc4u},
{"9503358.427352792583405971527099609374999999999999999999999999", 0x4162204fcdacdfc3u},
{"0.00005589147834433423614399101542193903924271580763161182403564453125", 0x3f0d4da092aa5d6au},
{"0.000055891478344334236143991015421939039242715807631611824035644531251", 0x3f0d4da092aa5d6bu},
{"0.00005589147834433423614399101542193903924271580763161182403564452125", 0x3f0d4da092aa5d6au},
{"0.0000000164797038506435664295103900420409737126448135313694365322589874267578125", 0x3e51b1e8107bd640u},
{"0.00000001647970385064356642951039004204097371264481353136943653225898742675781251", 0x3e51b1e8107bd641u},
{"0.0000000164797038506435664295103900420409737126448135313694365322589774267578125", 0x3e51b1e8107bd640u},
{"73055.7873927834807545877993106842041015625", 0x40f1d5fc99292ce2u},
{"73055.78739278348075458779931068420410156251", 0x40f1d5fc99292ce3u},
{"73055.78739278348075458779931068420410156249999999999999999999", 0x40f1d5fc99292ce2u},
{"0.00000000002558172364455232122427880575336067736115508441940846751094795763492584228515625", 0x3dbc209d7509115au},
{"0.000000000025581723644552321224278805753360677361155084419408467510947957634925842285156251", 0x3dbc209d7509115bu},
{"0.00000000002558172364455232122427880575336067736115508441940846751094794763492584228515625", 0x3dbc209d7509115au},
{"0.000000000854497507560657937804791333430312443020238077906469698064029216766357421875", 0x3e0d5c3d540cc0d2u},
{"0.0000000008544975075606579378047913334303124430202380779064696980640292167663574218751", 0x3e0d5c3d540cc0d2u},
{"0.000000000854497507560657937804791333430312443020238077906469698064029116766357421875", 0x3e0d5c3d540cc0d1u},
{"26671499731071461376", 0x43f722433b19970eu},
{"266714997310714613761", 0x442cead409dffcd2u},
{"26671499731071461375.99999999999999999999999999999999999999999", 0x43f722433b19970eu},
{"0.0000000002725195963972150049060368088050545186395989816219298518262803554534912109375", 0x3df2ba37271cf5f2u},
{"0.00000000027251959639721500490603680880505451863959898162192985182628035545349121093751", 0x3df2ba37271cf5f2u},
{"0.0000000002725195963972150049060368088050545186395989816219298518262802554534912109375", 0x3df2ba37271cf5f1u},
{"0.0000000000377224663702246439557904325637937886957218314165629635681398212909698486328125", 0x3dc4bcf7157af68eu},
{"0.00000000003772246637022464395579043256379378869572183141656296356813982129096984863281251", 0x3dc4bcf7157af68fu},
{"0.0000000000377224663702246439557904325637937886957218314165629635681398112909698486328125", 0x3dc4bcf7157af68eu},
{"0.00000000000000009977342762593364154535842258994910996905560208471673566688053824691451154649257659912109375", 0x3c9cc1fac312e2a6u},
{"0.000000000000000099773427625933641545358422589949109969055602084716735666880538246914511546492576599121093751", 0x3c9cc1fac312e2a6u},
{"0.00000000000000009977342762593364154535842258994910996905560208471673566688052824691451154649257659912109375", 0x3c9cc1fac312e2a5u},
{"0.0000000003146248171139977444431948290159907662133509376189977047033607959747314453125", 0x3df59ef03588a228u},
{"0.00000000031462481711399774444319482901599076621335093761899770470336079597473144531251", 0x3df59ef03588a229u},
{"0.0000000003146248171139977444431948290159907662133509376189977047033606959747314453125", 0x3df59ef03588a228u},
{"488899209263030304", 0x439b23acf64c5e80u},
{"4888992092630303041", 0x43d0f64c19efbb10u},
{"488899209263030303.9999999999999999999999999999999999999999999", 0x439b23acf64c5e80u},
{"1.88357157350592807620870416940306313335895538330078125", 0x3ffe231bf23e21acu},
{"1.883571573505928076208704169403063133358955383300781251", 0x3ffe231bf23e21adu},
{"1.883571573505928076208704169403063133358955383300781249999999", 0x3ffe231bf23e21acu},
{"0.0000000216458400594294836451424756990254139044083103726734407246112823486328125", 0x3e573df694e72fb8u},
{"0.00000002164584005942948364514247569902541390440831037267344072461128234863281251", 0x3e573df694e72fb9u},
{"0.0000000216458400594294836451424756990254139044083103726734407246112723486328125", 0x3e573df694e72fb8u},
{"5107.79271041116453488939441740512847900390625", 0x40b3f3caef11cb26u},
{"5107.792710411164534889394417405128479003906251", 0x40b3f3caef11cb27u},
{"5107.792710411164534889394417405128479003906249999999999999999", 0x40b3f3caef11cb26u},
{"734059.8035226609208621084690093994140625", 0x412666d79b67527cu},
{"734059.80352266092086210846900939941406251", 0x412666d79b67527du},
{"734059.8035226609208621084690093994140624999999999999999999999", 0x412666d79b67527cu},
{"61431562016722684", 0x436b47f5c40021e0u},
{"614315620167226841", 0x43a10cf99a80152cu},
{"61431562016722683.99999999999999999999999999999999999999999999", 0x436b47f5c40021dfu},
{"2.0060840449445034305853141631814651191234588623046875", 0x40000c75cab08326u},
{"2.00608404494450343058531416318146511912345886230468751", 0x40000c75cab08326u},
{"2.006084044944503430585314163181465119123458862304687499999999", 0x40000c75cab08325u},
{"0.0000001760623599453036952716420489480075861621344301966018974781036376953125", 0x3e87a174e55262cau},
{"0.00000017606235994530369527164204894800758616213443019660189747810363769531251", 0x3e87a174e55262cbu},
{"0.0000001760623599453036952716420489480075861621344301966018974781035376953125", 0x3e87a174e55262cau},
{"0.833085849636964581588216560703585855662822723388671875", 0x3feaa8a3a7de6fb6u},
{"0.8330858496369645815882165607035858556628227233886718751", 0x3feaa8a3a7de6fb6u},
{"0.8330858496369645815882165607035858556628227233886718749999999", 0x3feaa8a3a7de6fb5u},
{"45031428.4182307310402393341064453125", 0x418579002358895au},
{"45031428.41823073104023933410644531251", 0x418579002358895bu},
{"45031428.41823073104023933410644531249999999999999999999999999", 0x418579002358895au},
{"5003361733758455296", 0x43d15be0bf39dd24u},
{"50033617337584552961", 0x4405b2d8ef08546cu},
{"5003361733758455295.999999999999999999999999999999999999999999", 0x43d15be0bf39dd23u},
};
for (const auto& c : known)
{
CAPTURE(c.first);
double out = 0;
if (eisel_lemire(c.first, out))
{
CHECK(bits_of(out) == c.second);
}
else
{
// only tokens with more than 19 significant digits are left to
// strtod: those whose value lies too close to a tie
CHECK(significant_digits(c.first) > 19);
}
}
}
SECTION("round trip")
{
// every double written by to_chars and read back, also with trailing
// digits that make the token longer than 19 digits
std::uint64_t state = 5295;
std::size_t declined = 0;
for (int i = 0; i < 200000; ++i)
{
state ^= state << 13u;
state ^= state >> 7u;
state ^= state << 17u;
std::uint64_t b = state;
if ((b & 0x7FF0000000000000u) == 0x7FF0000000000000u)
{
continue; // infinity or NaN
}
if (i % 4 == 0)
{
b &= 0x800FFFFFFFFFFFFFu; // subnormals
}
double d = 0;
std::memcpy(&d, &b, sizeof(d));
std::array<char, 64> buffer{};
const char* end = nlohmann::detail::to_chars(buffer.data(), buffer.data() + buffer.size(), d);
const std::string token(buffer.data(), static_cast<std::size_t>(end - buffer.data()));
CAPTURE(token);
double out = 0;
REQUIRE(eisel_lemire(token, out));
CHECK(bits_of(out) == b);
// insert digits before the exponent: the value moves by far less
// than the distance to the rounding boundary, so it must not change
std::string longer = token;
const std::size_t e = longer.find('e');
const std::string extra = longer.find('.') == std::string::npos ? ".000000000000000000001" : "000000000000000000001";
longer.insert(e == std::string::npos ? longer.size() : e, extra);
CAPTURE(longer);
if (eisel_lemire(longer, out))
{
CHECK(bits_of(out) == b);
}
else
{
// w and w + 1 round differently: only when the value is very
// close to a rounding boundary
++declined;
}
}
CHECK(declined < 1000); // 107 of the 200,000
}
SECTION("used by the lexer")
{
// 17 significant digits: beyond Clinger's fast path
CHECK(bits_of(json::parse("-65.613616999999977").get<double>()) == bits_of(-65.613616999999977));
CHECK(bits_of(json::parse("2.2250738585072011e-308").get<double>()) == 0x000FFFFFFFFFFFFFu);
CHECK(bits_of(json::parse("4.9406564584124654e-324").get<double>()) == 1u);
CHECK_THROWS_WITH_AS(json::parse("1.7976931348623159e308"),
"[json.exception.out_of_range.406] number overflow parsing '1.7976931348623159e308'", json::out_of_range&);
}
}
TEST_CASE("string scanning kernels")
{
// the word-at-a-time kernels must stop exactly where a byte-by-byte scan
// stops, for any content, length, and alignment
const auto reference_special = [](const unsigned char* data, std::size_t n)
{
std::size_t i = 0;
while (i < n && !nlohmann::detail::is_string_special(data[i]))
{
++i;
}
return i;
};
const auto reference_copyable = [](const unsigned char* data, std::size_t n)
{
std::size_t i = 0;
while (i < n && nlohmann::detail::is_ascii_copyable(data[i]))
{
++i;
}
return i;
};
const auto reference_bulk_run = [](const unsigned char* data, std::size_t n)
{
std::size_t i = 0;
while (i < n)
{
if (data[i] < 0x80u)
{
if (nlohmann::detail::is_string_special(data[i]))
{
break;
}
++i;
continue;
}
const std::size_t seq = nlohmann::detail::validate_one_utf8(data + i, n - i);
if (seq == 0)
{
break;
}
i += seq;
}
return i;
};
// pieces: ordinary ASCII, stops, DEL, well-formed sequences of every
// length, and ill-formed or truncated ones
const std::vector<std::string> pieces =
{
"a", "Z", " ", "~", "0123456789", "\"", "\\", std::string(1, '\0'), "\n", "\x1F", "\x7F",
"\xC3\xA4", "\xE2\x82\xAC", "\xE6\x97\xA5\xE6\x9C\xAC", "\xF0\x9F\x98\x80", "\xED\x9F\xBF",
"\x80", "\xC0\x80", "\xC3", "\xE2\x82", "\xED\xA0\x80", "\xF4\x90\x80\x80", "\xFF",
};
std::uint64_t state = 5295;
const auto next = [&state]()
{
state ^= state << 13u;
state ^= state >> 7u;
state ^= state << 17u;
return state;
};
for (int round = 0; round < 100000; ++round)
{
// mostly ordinary text, so that runs span several words
std::string text(static_cast<std::size_t>(next() % 8), '.');
const auto count = static_cast<std::size_t>(next() % 12);
for (std::size_t k = 0; k < count; ++k)
{
const std::size_t p = (next() % 4 == 0) ? static_cast<std::size_t>(next() % pieces.size()) : 0;
text += pieces[p];
text += std::string(static_cast<std::size_t>(next() % 10), 'x');
}
const auto* data = reinterpret_cast<const unsigned char*>(text.data()); // NOLINT(cppcoreguidelines-pro-type-reinterpret-cast)
for (std::size_t offset = 0; offset < 3 && offset <= text.size(); ++offset)
{
const std::size_t n = text.size() - offset;
CAPTURE(text);
CAPTURE(offset);
CHECK(nlohmann::detail::find_string_special(data + offset, n) == reference_special(data + offset, n));
CHECK(nlohmann::detail::find_ascii_copyable_run(data + offset, n) == reference_copyable(data + offset, n));
CHECK(nlohmann::detail::scalar_string_bulk_run(data + offset, n) == reference_bulk_run(data + offset, n));
}
}
// the trailing-zero count, whichever implementation the compiler gets
for (int k = 0; k < 64; ++k)
{
const std::uint64_t bit = std::uint64_t{1} << k;
CHECK(nlohmann::detail::count_trailing_zeros(bit) == k);
CHECK(nlohmann::detail::count_trailing_zeros(bit | (bit << 1u) | 0x8000000000000000u) == k);
}
}
+3
View File
@@ -8,3 +8,6 @@ The following changes have been made to the code with respect to <https://github
- membership check
- made function from `_is_within`
- removed unused variable `actual_path`
- Added the optional config key `external`: include paths listed there are kept as
`#include` directives instead of being inlined (the first directive per path; the
repeated ones are commented out).
+5
View File
@@ -57,6 +57,11 @@ Python v.2.7.0 or higher is required.
amalgamation. Have a look at `test/source.c.json` and `test/include.h.json`
to see two examples.
The optional `external` list names include paths that are kept as `#include`
directives instead of being inlined, e.g. `["nlohmann/json.hpp"]` for a header
that includes another amalgamated header. Only the first directive for each
of these paths is kept; the repeated ones are commented out.
* The `-s, --source` option should specify the path to the source directory.
This is useful for supporting separate source and build directories.
+23 -5
View File
@@ -62,6 +62,10 @@ class Amalgamation(object):
return None
def __init__(self, args):
# include paths that are kept as #include directives instead of
# being inlined (e.g. a header amalgamated on its own)
self.external = []
self.included_external = []
with open(args.config, 'r') as f:
config = json.loads(f.read())
for key in config:
@@ -220,11 +224,14 @@ class TranslationUnit(object):
while include_match:
if not _is_within(include_match, skippable_contexts):
include_path = include_match.group("path")
search_same_dir = include_match.group(1) == '"'
found_included_path = self.amalgamation.find_included_file(
include_path, self.file_dir if search_same_dir else None)
if found_included_path:
includes.append((include_match, found_included_path))
if include_path in self.amalgamation.external:
includes.append((include_match, None))
else:
search_same_dir = include_match.group(1) == '"'
found_included_path = self.amalgamation.find_included_file(
include_path, self.file_dir if search_same_dir else None)
if found_included_path:
includes.append((include_match, found_included_path))
include_match = self.include_pattern.search(self.content,
include_match.end())
@@ -235,6 +242,17 @@ class TranslationUnit(object):
for include in includes:
include_match, found_included_path = include
tmp_content += self.content[prev_end:include_match.start()]
if found_included_path is None:
# an external header: keep the first directive and comment
# out the repeated ones
include_path = include_match.group("path")
if include_path in self.amalgamation.included_external:
tmp_content += "// {0}".format(include_match.group(0))
else:
self.amalgamation.included_external.append(include_path)
tmp_content += include_match.group(0)
prev_end = include_match.end()
continue
tmp_content += "// {0}\n".format(include_match.group(0))
if found_included_path not in self.amalgamation.included_files:
t = TranslationUnit(found_included_path, self.amalgamation, False)
+9
View File
@@ -0,0 +1,9 @@
{
"project": "JSON for Modern C++",
"target": "single_include/nlohmann/json_view.hpp",
"sources": [
"include/nlohmann/json_view.hpp"
],
"include_paths": ["include"],
"external": ["nlohmann/json.hpp"]
}