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* type usage fix
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@ -20,14 +20,14 @@ namespace fast_float {
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template <limb_t bit_precision>
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fastfloat_really_inline FASTFLOAT_CONSTEXPR20 value128
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compute_product_approximation(int64_t q, uint64_t w) noexcept {
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int const index = 2 * int(q - powers::smallest_power_of_five);
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am_pow_t const index = 2 * am_pow_t(q - powers::smallest_power_of_five);
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// For small values of q, e.g., q in [0,27], the answer is always exact
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// because The line value128 firstproduct = full_multiplication(w,
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// power_of_five_128[index]); gives the exact answer.
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value128 firstproduct =
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full_multiplication(w, powers::power_of_five_128[index]);
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static_assert((bit_precision >= 0) && (bit_precision <= 64),
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" precision should be in (0,64]");
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" precision should be in [0,64]");
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constexpr uint64_t precision_mask =
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(bit_precision < 64) ? (uint64_t(0xFFFFFFFFFFFFFFFF) >> bit_precision)
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: uint64_t(0xFFFFFFFFFFFFFFFF);
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@ -40,7 +40,7 @@ compute_product_approximation(int64_t q, uint64_t w) noexcept {
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full_multiplication(w, powers::power_of_five_128[index + 1]);
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firstproduct.low += secondproduct.high;
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if (secondproduct.high > firstproduct.low) {
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firstproduct.high++;
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++firstproduct.high;
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}
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}
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return firstproduct;
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@ -71,8 +71,8 @@ constexpr fastfloat_really_inline am_pow_t power(am_pow_t q) noexcept {
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// for significant digits already multiplied by 10 ** q.
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template <typename binary>
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fastfloat_really_inline FASTFLOAT_CONSTEXPR14 adjusted_mantissa
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compute_error_scaled(int64_t q, uint64_t w, int32_t lz) noexcept {
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am_pow_t hilz = static_cast<am_pow_t>(uint64_t(w >> 63) ^ 1);
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compute_error_scaled(int64_t q, uint64_t w, limb_t lz) noexcept {
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limb_t const hilz = static_cast<limb_t>((w >> 63) ^ 1);
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adjusted_mantissa answer;
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answer.mantissa = w << hilz;
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constexpr am_pow_t bias =
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@ -87,7 +87,7 @@ compute_error_scaled(int64_t q, uint64_t w, int32_t lz) noexcept {
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template <typename binary>
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fastfloat_really_inline FASTFLOAT_CONSTEXPR20 adjusted_mantissa
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compute_error(int64_t q, uint64_t w) noexcept {
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limb_t lz = leading_zeroes(w);
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limb_t const lz = leading_zeroes(w);
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w <<= lz;
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value128 product =
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compute_product_approximation<binary::mantissa_explicit_bits() + 3>(q, w);
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@ -119,7 +119,7 @@ compute_float(int64_t q, uint64_t w) noexcept {
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// powers::largest_power_of_five].
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// We want the most significant bit of i to be 1. Shift if needed.
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limb_t lz = leading_zeroes(w);
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limb_t const lz = leading_zeroes(w);
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w <<= lz;
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// The required precision is binary::mantissa_explicit_bits() + 3 because
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