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Adopting proposal.
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@ -76,8 +76,10 @@ fastfloat_really_inline bool rounds_to_nearest() noexcept {
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// However, it is expected to be much faster than the fegetround()
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// function call.
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//
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// volatile prevents the compiler from computing the function at compile-time
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// It does not need to be std::numeric_limits<float>::min(), any small
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// The volatile keywoard prevents the compiler from computing the function
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// at compile-time.
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// There might be other ways to prevent compile-time optimizations (e.g., asm).
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// The value does not need to be std::numeric_limits<float>::min(), any small
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// value so that 1 + x should round to 1 would do.
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static volatile float fmin = std::numeric_limits<float>::min();
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//
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@ -100,6 +102,8 @@ fastfloat_really_inline bool rounds_to_nearest() noexcept {
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// fmin + 1.0f = 0x1 (1)
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// 1.0f - fmin = 0x1 (1)
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//
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// Note: This may fail to be accurate if fast-math has been
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// enabled, as rounding conventions may not apply.
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return (fmin + 1.0f == 1.0f - fmin);
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}
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@ -130,32 +134,44 @@ from_chars_result from_chars_advanced(const char *first, const char *last,
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}
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answer.ec = std::errc(); // be optimistic
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answer.ptr = pns.lastmatch;
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// Unfortunately, the conventional Clinger's fast path is only possible
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// when the system rounds to the nearest float.
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if(detail::rounds_to_nearest()) {
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// We have that fegetround() == FE_TONEAREST.
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// Next is Clinger's fast path.
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if (binary_format<T>::min_exponent_fast_path() <= pns.exponent && pns.exponent <= binary_format<T>::max_exponent_fast_path() && pns.mantissa <=binary_format<T>::max_mantissa_fast_path() && !pns.too_many_digits) {
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value = T(pns.mantissa);
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if (pns.exponent < 0) { value = value / binary_format<T>::exact_power_of_ten(-pns.exponent); }
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else { value = value * binary_format<T>::exact_power_of_ten(pns.exponent); }
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if (pns.negative) { value = -value; }
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return answer;
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}
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} else {
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// We do not have that fegetround() == FE_TONEAREST.
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// Next is a modified Clinger's fast path, inspired by Jakub Jelínek's proposal
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if (pns.exponent >= 0 && pns.exponent <= binary_format<T>::max_exponent_fast_path() && pns.mantissa <=binary_format<T>::max_mantissa_fast_path(pns.exponent) && !pns.too_many_digits) {
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#if (defined(_WIN32) && defined(__clang__))
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// ClangCL may map 0 to -0.0 when fegetround() == FE_DOWNWARD
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if(pns.mantissa == 0) {
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value = 0;
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// The implementation of the Clinger's fast path is convoluted because
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// we want round-to-nearest in all cases, irrespective of the rounding mode
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// selected on the thread.
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// We proceed optimistically, assuming that detail::rounds_to_nearest() returns
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// true.
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if (binary_format<T>::min_exponent_fast_path() <= pns.exponent && pns.exponent <= binary_format<T>::max_exponent_fast_path() && !pns.too_many_digits) {
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// Unfortunately, the conventional Clinger's fast path is only possible
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// when the system rounds to the nearest float.
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//
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// We expect the next branch to almost always be selected.
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// We could check it first (before the previous branch), but
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// there might be performance advantages at having the check
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// be last.
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if(detail::rounds_to_nearest()) {
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// We have that fegetround() == FE_TONEAREST.
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// Next is Clinger's fast path.
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if (pns.mantissa <=binary_format<T>::max_mantissa_fast_path()) {
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value = T(pns.mantissa);
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if (pns.exponent < 0) { value = value / binary_format<T>::exact_power_of_ten(-pns.exponent); }
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else { value = value * binary_format<T>::exact_power_of_ten(pns.exponent); }
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if (pns.negative) { value = -value; }
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return answer;
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}
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} else {
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// We do not have that fegetround() == FE_TONEAREST.
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// Next is a modified Clinger's fast path, inspired by Jakub Jelínek's proposal
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if (pns.exponent >= 0 && pns.mantissa <=binary_format<T>::max_mantissa_fast_path(pns.exponent)) {
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#if (defined(_WIN32) && defined(__clang__))
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// ClangCL may map 0 to -0.0 when fegetround() == FE_DOWNWARD
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if(pns.mantissa == 0) {
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value = 0;
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return answer;
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}
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#endif
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value = T(pns.mantissa) * binary_format<T>::exact_power_of_ten(pns.exponent);
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if (pns.negative) { value = -value; }
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return answer;
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value = T(pns.mantissa) * binary_format<T>::exact_power_of_ten(pns.exponent);
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if (pns.negative) { value = -value; }
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return answer;
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}
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}
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}
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adjusted_mantissa am = compute_float<binary_format<T>>(pns.exponent, pns.mantissa);
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