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//! Implementation of the Dragonbox algorithm.
//!
//! This is modified from the Rust port of Dragonbox, available
//! [here](https://github.com/dtolnay/dragonbox). It also uses a direct
//! port of Dragonbox, available [here](https://github.com/jk-jeon/dragonbox/).
//!
//! This is therefore under an Apache 2.0/Boost Software dual-license.
//!
//! We use a u64 for the significant digits, even for a 32-bit integer,
//! however, we use the proper bitshifts, etc. for the float in question,
//! rather than clobbering the result to f64, as Rust's port does.
//!
//! Each one of the algorithms described here has the main implementation,
//! according to the reference Dragonbox paper, as well as an alias for
//! our own purposes. The existing algorithms include:
//!
//! 1. compute_nearest_normal
//! 2. compute_nearest_shorter
//! 3. compute_left_closed_directed
//! 4. compute_right_closed_directed
//!
//! `compute_nearest_normal` and `compute_nearest_shorter` are used for
//! round-nearest, tie-even and `compute_right_closed_directed` is used
//! for round-to-zero (see below for details).
#![cfg(not(feature = "compact"))]
#![doc(hidden)]
#[cfg(feature = "f16")]
use lexical_util::bf16::bf16;
#[cfg(feature = "f16")]
use lexical_util::f16::f16;
use lexical_util::format::{NumberFormat, STANDARD};
use lexical_util::num::{AsPrimitive, Float};
use lexical_write_integer::decimal::DigitCount;
use lexical_write_integer::write::WriteInteger;
use crate::float::{ExtendedFloat80, RawFloat};
use crate::options::{Options, RoundMode};
use crate::shared;
use crate::table::*;
/// Optimized float-to-string algorithm for decimal strings.
#[inline(always)]
pub fn write_float<F: RawFloat, const FORMAT: u128>(
float: F,
bytes: &mut [u8],
options: &Options,
) -> usize {
debug_assert!(!float.is_special());
debug_assert!(float >= F::ZERO);
let fp = to_decimal(float);
let digit_count = F::digit_count(fp.mant);
let sci_exp = fp.exp + digit_count as i32 - 1;
// Note that for performance reasons, we write the significant digits
// later into the algorithms, since we can determine the right path
// and write the significant digits without using an intermediate buffer
// in most cases.
write_float!(
float,
FORMAT,
sci_exp,
options,
write_float_scientific,
write_float_positive_exponent,
write_float_negative_exponent,
generic => F,
bytes => bytes,
args => fp, sci_exp, options,
)
}
/// Write float to string in scientific notation.
#[inline]
pub fn write_float_scientific<F: DragonboxFloat, const FORMAT: u128>(
bytes: &mut [u8],
fp: ExtendedFloat80,
sci_exp: i32,
options: &Options,
) -> usize {
// Config options.
debug_assert_eq!(count_factors(10, fp.mant), 0);
let format = NumberFormat::<{ FORMAT }> {};
assert!(format.is_valid());
let decimal_point = options.decimal_point();
// Write the significant digits. Write at index 1, so we can shift 1
// for the decimal point without intermediate buffers.
// Won't panic if we have enough bytes to write the significant digits.
let digits = &mut bytes[1..];
let digit_count = F::write_digits(digits, fp.mant);
// Truncate and round the significant digits.
let (digit_count, carried) = shared::truncate_and_round_decimal(digits, digit_count, options);
let sci_exp = sci_exp + carried as i32;
// Determine the exact number of digits to write.
let exact_count = shared::min_exact_digits(digit_count, options);
// Write any trailing digits.
let mut cursor: usize;
bytes[0] = bytes[1];
bytes[1] = decimal_point;
if !format.no_exponent_without_fraction() && digit_count == 1 && options.trim_floats() {
cursor = 1;
} else if digit_count < exact_count {
// Adjust the number of digits written, by appending zeros.
cursor = digit_count + 1;
let zeros = exact_count - digit_count;
bytes[cursor..cursor + zeros].fill(b'0');
cursor += zeros;
} else if digit_count == 1 {
bytes[2] = b'0';
cursor = 3;
} else {
cursor = digit_count + 1;
}
// Now, write our scientific notation.
// Won't panic since bytes must be large enough to store all digits.
shared::write_exponent::<FORMAT>(bytes, &mut cursor, sci_exp, options.exponent());
cursor
}
/// Write negative float to string without scientific notation.
///
/// Has a negative exponent (shift right) and no scientific notation.
#[inline]
pub fn write_float_negative_exponent<F: DragonboxFloat, const FORMAT: u128>(
bytes: &mut [u8],
fp: ExtendedFloat80,
sci_exp: i32,
options: &Options,
) -> usize {
debug_assert!(sci_exp < 0);
debug_assert_eq!(count_factors(10, fp.mant), 0);
// Config options.
let decimal_point = options.decimal_point();
let sci_exp = sci_exp.wrapping_neg() as usize;
// Write our 0 digits.
let mut cursor = sci_exp + 1;
debug_assert!(cursor >= 2, "must have a buffer >= 2 to write our 0 digits");
// We write 0 digits even over the decimal point, since we might have
// to round carry over. This is rare, but it could happen, and would
// require a shift after. The good news is: if we have a shift, we
// only need to move 1 digit.
bytes[..cursor].fill(b'0');
// Write out our significant digits.
// Won't panic: we have enough bytes to write the significant digits.
let digits = &mut bytes[cursor..];
let digit_count = F::write_digits(digits, fp.mant);
// Truncate and round the significant digits.
debug_assert!(cursor > 0, "underflowed our digits");
let (digit_count, carried) = shared::truncate_and_round_decimal(digits, digit_count, options);
// Handle any trailing digits.
let mut trimmed = false;
if carried && cursor == 2 {
// Rounded-up, and carried to the first byte, so instead of having
// 0.9999, we have 1.0.
bytes[0] = b'1';
if options.trim_floats() {
cursor = 1;
trimmed = true;
} else {
bytes[1] = decimal_point;
bytes[2] = b'0';
cursor = 3;
}
} else if carried {
// Carried, so we need to remove 1 zero before our digits.
bytes[1] = decimal_point;
bytes[cursor - 1] = bytes[cursor];
} else {
bytes[1] = decimal_point;
cursor += digit_count;
}
// Determine the exact number of digits to write.
let exact_count = shared::min_exact_digits(digit_count, options);
// Write any trailing digits.
// Cursor is 1 if we trimmed floats, in which case skip this.
if !trimmed && digit_count < exact_count {
let zeros = exact_count - digit_count;
bytes[cursor..cursor + zeros].fill(b'0');
cursor += zeros;
}
cursor
}
/// Write positive float to string without scientific notation.
///
/// Has a positive exponent (shift left) and no scientific notation.
#[inline]
pub fn write_float_positive_exponent<F: DragonboxFloat, const FORMAT: u128>(
bytes: &mut [u8],
fp: ExtendedFloat80,
sci_exp: i32,
options: &Options,
) -> usize {
// Config options.
debug_assert!(sci_exp >= 0);
debug_assert_eq!(count_factors(10, fp.mant), 0);
let decimal_point = options.decimal_point();
// Write out our significant digits.
// Let's be optimistic and try to write without needing to move digits.
// This only works if the if the resulting leading digits, or `sci_exp + 1`,
// is greater than the written digits. If not, we have to move digits after
// and then adjust the decimal point. However, with truncating and remove
// trailing zeros, we **don't** know the exact digit count **yet**.
let digit_count = F::write_digits(bytes, fp.mant);
let (mut digit_count, carried) =
shared::truncate_and_round_decimal(bytes, digit_count, options);
// Now, check if we have shift digits.
let leading_digits = sci_exp as usize + 1 + carried as usize;
let mut cursor: usize;
let mut trimmed = false;
if leading_digits >= digit_count {
// Great: we have more leading digits than we wrote, can write trailing zeros
// and an optional decimal point.
bytes[digit_count..leading_digits].fill(b'0');
cursor = leading_digits;
digit_count = leading_digits;
// Only write decimal point if we're not trimming floats.
if !options.trim_floats() {
bytes[cursor] = decimal_point;
cursor += 1;
bytes[cursor] = b'0';
cursor += 1;
digit_count += 1;
} else {
trimmed = true;
}
} else {
// Need to shift digits internally, and write the decimal point.
// First, move the digits right by 1 after leading digits.
let count = digit_count - leading_digits;
let buf = &mut bytes[leading_digits..digit_count + 1];
assert!(buf.len() > count);
for i in (0..count).rev() {
buf[i + 1] = buf[i];
}
// Now, write the decimal point.
bytes[leading_digits] = decimal_point;
cursor = digit_count + 1;
}
// Determine the exact number of digits to write.
// Don't worry if we carried: we cannot write **MORE** digits if we've
// already previously truncated the input.
let exact_count = shared::min_exact_digits(digit_count, options);
// Change the number of digits written, if we need to add more or trim digits.
if !trimmed && exact_count > digit_count {
// Check if we need to write more trailing digits.
let zeros = exact_count - digit_count;
bytes[cursor..cursor + zeros].fill(b'0');
cursor += zeros;
}
cursor
}
// ALGORITHM
// ---------
/// Get an extended representation of the decimal float.
///
/// The returned float has a decimal exponent, and the significant digits
/// returned to the nearest mantissa. For example, `1.5f32` will return
/// `ExtendedFloat80 { mant: 15, exp: -1 }`, although trailing zeros
/// might not be removed.
///
/// This algorithm **only** fails when `float == 0.0`, and we want to
/// short-circuit anyway.
#[inline(always)]
pub fn to_decimal<F: RawFloat>(float: F) -> ExtendedFloat80 {
let bits = float.to_bits();
let mantissa_bits = bits & F::MANTISSA_MASK;
if (bits & !F::SIGN_MASK).as_u64() == 0 {
return extended_float(0, 0);
}
// Shorter interval case; proceed like Schubfach.
// One might think this condition is wrong, since when exponent_bits == 1
// and two_fc == 0, the interval is actullay regular. However, it turns out
// that this seemingly wrong condition is actually fine, because the end
// result is anyway the same.
//
// [binary32]
// (fc-1/2) * 2^e = 1.175'494'28... * 10^-38
// (fc-1/4) * 2^e = 1.175'494'31... * 10^-38
// fc * 2^e = 1.175'494'35... * 10^-38
// (fc+1/2) * 2^e = 1.175'494'42... * 10^-38
//
// Hence, shorter_interval_case will return 1.175'494'4 * 10^-38.
// 1.175'494'3 * 10^-38 is also a correct shortest representation that will
// be rejected if we assume shorter interval, but 1.175'494'4 * 10^-38 is
// closer to the true value so it doesn't matter.
//
// [binary64]
// (fc-1/2) * 2^e = 2.225'073'858'507'201'13... * 10^-308
// (fc-1/4) * 2^e = 2.225'073'858'507'201'25... * 10^-308
// fc * 2^e = 2.225'073'858'507'201'38... * 10^-308
// (fc+1/2) * 2^e = 2.225'073'858'507'201'63... * 10^-308
//
// Hence, shorter_interval_case will return 2.225'073'858'507'201'4 *
// 10^-308. This is indeed of the shortest length, and it is the unique one
// closest to the true value among valid representations of the same length.
// Toward zero case:
//
// What we need is a compute-nearest, but with truncated digits in the
// truncated case. Note that we don't need the left-closed direct
// rounding case of I = [w,w+), or right-closed directed rounding
// case of I = (w−,w], since these produce the shortest intervals for
// a **float parser** assuming the rounding of the float-parser.
// The left-directed case assumes the float parser will round-down,
// while the right-directed case assumed the float parser will round-up.
//
// A few examples of this behavior is described here:
// **compute_nearest_normal**
//
// - `1.23456 => (123456, -5)` for binary32.
// - `1.23456 => (123456, -5)` for binary64.
// - `13.9999999999999982236431606 => (13999999999999998, -15)` for binary64.
//
// **compute_left_closed_directed**
//
// - `1.23456 => (12345601, -7)` for binary32.
// - `1.23456 => (12345600000000002, -16)` for binary64.
// - `13.9999999999999982236431606 => (13999999999999999, -15)` for binary64.
//
// **compute_right_closed_directed**
//
// - `1.23456 => (123456, -5)` for binary32.
// - `1.23456 => (123456, -5)` for binary64.
// - `13.9999999999999982236431606 => (13999999999999982, -15)` for binary64.
if mantissa_bits.as_u64() == 0 {
compute_round_short(float)
} else {
compute_round(float)
}
}
/// Compute for a simple case when rounding nearest, tie-even.
#[inline(always)]
pub fn compute_round_short<F: RawFloat>(float: F) -> ExtendedFloat80 {
compute_nearest_shorter(float)
}
/// Compute for a non-simple case when rounding nearest, tie-even.
#[inline(always)]
pub fn compute_round<F: RawFloat>(float: F) -> ExtendedFloat80 {
compute_nearest_normal(float)
}
/// Compute the interval I = [m−w,m+w] if even, otherwise, (m−w,m+w).
/// This is the simple case for a finite number where only the hidden bit is
/// set.
#[inline]
pub fn compute_nearest_shorter<F: RawFloat>(float: F) -> ExtendedFloat80 {
// Compute k and beta.
let exponent = float.exponent();
let minus_k = floor_log10_pow2_minus_log10_4_over_3(exponent);
let beta = exponent + floor_log2_pow10(-minus_k);
// Compute xi and zi.
// SAFETY: safe, since value must be finite and therefore in the correct range.
// `-324 <= exponent <= 308`, so `x * log10(2) - log10(4 / 3)` must be in
// `-98 <= x <= 93`, so the final value must be in [-93, 98] (for f64). We have
// precomputed powers for [-292, 326] for f64 (same logic applies for f32) so
// this is **ALWAYS** safe.
let pow5 = unsafe { F::dragonbox_power(-minus_k) };
let mut xi = F::compute_left_endpoint(&pow5, beta);
let mut zi = F::compute_right_endpoint(&pow5, beta);
// Get the interval type.
// Must be Round since we only use compute_round with a round-nearest direction.
let interval_type = IntervalType::Closed;
// If we don't accept the right endpoint and if the right endpoint is an
// integer, decrease it.
if !interval_type.include_right_endpoint() && is_right_endpoint::<F>(exponent) {
zi -= 1;
}
// If the left endpoint is not an integer, increase it.
if !(interval_type.include_left_endpoint() && is_left_endpoint::<F>(exponent)) {
xi += 1;
}
// Try bigger divisor.
let significand = zi / 10;
// If succeed, remove trailing zeros if necessary and return.
if significand * 10 >= xi {
let (mant, exp) = F::process_trailing_zeros(significand, minus_k + 1);
return extended_float(mant, exp);
}
// Otherwise, compute the round-up of y.
let mut significand = F::compute_round_up(&pow5, beta);
// When tie occurs, choose one of them according to the rule.
let bits: i32 = F::MANTISSA_SIZE;
let lower_threshold: i32 = -floor_log5_pow2_minus_log5_3(bits + 4) - 2 - bits;
let upper_threshold: i32 = -floor_log5_pow2(bits + 2) - 2 - bits;
let round_down = RoundMode::Round.prefer_round_down(significand);
if round_down && exponent >= lower_threshold && exponent <= upper_threshold {
significand -= 1;
} else if significand < xi {
significand += 1;
}
// Ensure we haven't re-assigned exponent or minus_k, since this
// is a massive potential security vulnerability.
debug_assert!(float.exponent() == exponent);
debug_assert!(minus_k == floor_log10_pow2_minus_log10_4_over_3(exponent));
extended_float(significand, minus_k)
}
/// Compute the interval I = [m−w,m+w] if even, otherwise, (m−w,m+w).
/// This is the normal case for a finite number with non-zero significant
/// digits.
#[allow(clippy::comparison_chain)] // reason="logical approach for algorithm"
pub fn compute_nearest_normal<F: RawFloat>(float: F) -> ExtendedFloat80 {
let mantissa = float.mantissa().as_u64();
let exponent = float.exponent();
let is_even = mantissa % 2 == 0;
// Step 1: Schubfach multiplier calculation
// Compute k and beta.
let minus_k = floor_log10_pow2(exponent) - F::KAPPA as i32;
// SAFETY: safe, since value must be finite and therefore in the correct range.
// `-324 <= exponent <= 308`, so `x * log10(2)` must be in
// `-98 <= x <= 93`, so the final value must be in [-93, 98] (for f64). We have
// precomputed powers for [-292, 326] for f64 (same logic applies for f32) so
// this is **ALWAYS** safe.
let pow5 = unsafe { F::dragonbox_power(-minus_k) };
let beta = exponent + floor_log2_pow10(-minus_k);
// Compute zi and deltai.
// 10^kappa <= deltai < 10^(kappa + 1)
let two_fc = mantissa << 1;
let deltai = F::compute_delta(&pow5, beta);
// For the case of binary32, the result of integer check is not correct for
// 29711844 * 2^-82
// = 6.1442653300000000008655037797566933477355632930994033813476... * 10^-18
// and 29711844 * 2^-81
// = 1.2288530660000000001731007559513386695471126586198806762695... * 10^-17,
// and they are the unique counterexamples. However, since 29711844 is even,
// this does not cause any problem for the endpoints calculations; it can only
// cause a problem when we need to perform integer check for the center.
// Fortunately, with these inputs, that branch is never executed, so we are
// fine.
let (zi, is_z_integer) = F::compute_mul((two_fc | 1) << beta, &pow5);
// Step 2: Try larger divisor; remove trailing zeros if necessary
let big_divisor = pow32(10, F::KAPPA + 1);
let small_divisor = pow32(10, F::KAPPA);
// Using an upper bound on zi, we might be able to optimize the division
// better than the compiler; we are computing zi / big_divisor here.
let exp = F::KAPPA + 1;
let n_max = (1 << (F::MANTISSA_SIZE + 1)) * big_divisor as u64 - 1;
let mut significand = F::divide_by_pow10(zi, exp, n_max);
let mut r = (zi - (big_divisor as u64).wrapping_mul(significand)) as u32;
// Get the interval type.
// Must be Round since we only use compute_round with a round-nearest direction.
let interval_type = IntervalType::Symmetric(is_even);
// Check for short-circuit.
// We use this, since the `goto` statements in dragonbox are unidiomatic
// in Rust and lead to unmaintainable code. Using a simple closure is much
// simpler, however, we do store a boolean in some cases to determine
// if we need to short-circuit.
let mut should_short_circuit = true;
if r < deltai {
// Exclude the right endpoint if necessary.
let include_right = interval_type.include_right_endpoint();
if r == 0 && !include_right && is_z_integer {
significand -= 1;
r = big_divisor;
should_short_circuit = false;
}
} else if r > deltai {
should_short_circuit = false;
} else {
// r == deltai; compare fractional parts.
// Due to the more complex logic in the new dragonbox algorithm,
// it's much easier logically to store if we should short circuit,
// the default, and only mark
let two_fl = two_fc - 1;
let include_left = interval_type.include_left_endpoint();
if !include_left || exponent < F::FC_PM_HALF_LOWER || exponent > F::DIV_BY_5_THRESHOLD {
// If the left endpoint is not included, the condition for
// success is z^(f) < delta^(f) (odd parity).
// Otherwise, the inequalities on exponent ensure that
// x is not an integer, so if z^(f) >= delta^(f) (even parity), we in fact
// have strict inequality.
let parity = F::compute_mul_parity(two_fl, &pow5, beta).0;
if !parity {
should_short_circuit = false;
}
} else {
let (xi_parity, x_is_integer) = F::compute_mul_parity(two_fl, &pow5, beta);
if !xi_parity && !x_is_integer {
should_short_circuit = false;
}
}
}
if should_short_circuit {
// Short-circuit case.
let (mant, exp) = F::process_trailing_zeros(significand, minus_k + F::KAPPA as i32 + 1);
extended_float(mant, exp)
} else {
// Step 3: Find the significand with the smaller divisor
significand *= 10;
let dist = r - (deltai / 2) + (small_divisor / 2);
let approx_y_parity = ((dist ^ (small_divisor / 2)) & 1) != 0;
// Is dist divisible by 10^kappa?
let (dist, is_dist_div_by_kappa) = F::check_div_pow10(dist);
// Add dist / 10^kappa to the significand.
significand += dist as u64;
if is_dist_div_by_kappa {
// Check z^(f) >= epsilon^(f).
// We have either yi == zi - epsiloni or yi == (zi - epsiloni) - 1,
// where yi == zi - epsiloni if and only if z^(f) >= epsilon^(f).
// Since there are only 2 possibilities, we only need to care about the
// parity. Also, zi and r should have the same parity since the divisor is
// an even number.
let (yi_parity, is_y_integer) = F::compute_mul_parity(two_fc, &pow5, beta);
let round_down = RoundMode::Round.prefer_round_down(significand);
if yi_parity != approx_y_parity || (is_y_integer && round_down) {
// If z^(f) >= epsilon^(f), we might have a tie
// when z^(f) == epsilon^(f), or equivalently, when y is an integer.
// For tie-to-up case, we can just choose the upper one.
//significand -= 1;
significand -= 1;
}
}
// Ensure we haven't re-assigned exponent or minus_k, since this
// is a massive potential security vulnerability.
debug_assert!(float.exponent() == exponent);
debug_assert!(minus_k == floor_log10_pow2(exponent) - F::KAPPA as i32);
extended_float(significand, minus_k + F::KAPPA as i32)
}
}
/// Compute the interval I = [w,w+).
#[allow(clippy::comparison_chain)] // reason="logical approach for algorithm"
pub fn compute_left_closed_directed<F: RawFloat>(float: F) -> ExtendedFloat80 {
let mantissa = float.mantissa().as_u64();
let exponent = float.exponent();
// Step 1: Schubfach multiplier calculation
// Compute k and beta.
let minus_k = floor_log10_pow2(exponent) - F::KAPPA as i32;
// SAFETY: safe, since value must be finite and therefore in the correct range.
// `-324 <= exponent <= 308`, so `x * log10(2)` must be in [-98, 93] (for f64).
// We have precomputed powers for [-292, 326] for f64 (same logic applies for
// f32) so this is **ALWAYS** safe.
let pow5 = unsafe { F::dragonbox_power(-minus_k) };
let beta = exponent + floor_log2_pow10(-minus_k);
// Compute zi and deltai.
// 10^kappa <= deltai < 10^(kappa + 1)
let two_fc = mantissa << 1;
let deltai = F::compute_delta(&pow5, beta);
let (mut xi, mut is_x_integer) = F::compute_mul(two_fc << beta, &pow5);
// Deal with the unique exceptional cases
// 29711844 * 2^-82
// = 6.1442653300000000008655037797566933477355632930994033813476... * 10^-18
// and 29711844 * 2^-81
// = 1.2288530660000000001731007559513386695471126586198806762695... * 10^-17
// for binary32.
if F::BITS == 32 && exponent <= -80 {
is_x_integer = false;
}
if !is_x_integer {
xi += 1;
}
// Step 2: Try larger divisor; remove trailing zeros if necessary
let big_divisor = pow32(10, F::KAPPA + 1);
// Using an upper bound on xi, we might be able to optimize the division
// better than the compiler; we are computing xi / big_divisor here.
let exp = F::KAPPA + 1;
let n_max = (1 << (F::MANTISSA_SIZE + 1)) * big_divisor as u64 - 1;
let mut significand = F::divide_by_pow10(xi, exp, n_max);
let mut r = (xi - (big_divisor as u64).wrapping_mul(significand)) as u32;
if r != 0 {
significand += 1;
r = big_divisor - r;
}
// Check for short-circuit.
// We use this, since the `goto` statements in dragonbox are unidiomatic
// in Rust and lead to unmaintainable code. Using a simple closure is much
// simpler, however, we do store a boolean in some cases to determine
// if we need to short-circuit.
let mut should_short_circuit = true;
if r > deltai {
should_short_circuit = false;
} else if r == deltai {
// Compare the fractional parts.
// This branch is never taken for the exceptional cases
// 2f_c = 29711482, e = -81
// (6.1442649164096937243516663440523473127541365101933479309082... * 10^-18)
// and 2f_c = 29711482, e = -80
// (1.2288529832819387448703332688104694625508273020386695861816... * 10^-17).
let (zi_parity, is_z_integer) = F::compute_mul_parity(two_fc + 2, &pow5, beta);
if zi_parity || is_z_integer {
should_short_circuit = false;
}
}
if should_short_circuit {
let (mant, exp) = F::process_trailing_zeros(significand, minus_k + F::KAPPA as i32 + 1);
extended_float(mant, exp)
} else {
// Step 3: Find the significand with the smaller divisor
significand *= 10;
significand -= F::div_pow10(r) as u64;
// Ensure we haven't re-assigned exponent or minus_k, since this
// is a massive potential security vulnerability.
debug_assert!(float.exponent() == exponent);
debug_assert!(minus_k == floor_log10_pow2(exponent) - F::KAPPA as i32);
extended_float(significand, minus_k + F::KAPPA as i32)
}
}
/// Compute the interval I = (w−,w]..
#[allow(clippy::comparison_chain, clippy::if_same_then_else)] // reason="logical approach for algorithm"
pub fn compute_right_closed_directed<F: RawFloat>(float: F, shorter: bool) -> ExtendedFloat80 {
// ensure our floats have a maximum exp in the range [-324, 308].
assert!(F::BITS <= 64, "cannot guarantee safety invariants with 128-bit floats");
let mantissa = float.mantissa().as_u64();
let exponent = float.exponent();
// Step 1: Schubfach multiplier calculation
// Exponent must be in the range [-324, 308]
// Compute k and beta.
let minus_k = floor_log10_pow2(exponent - shorter as i32) - F::KAPPA as i32;
assert!(F::KAPPA <= 2);
// SAFETY: safe, since value must be finite and therefore in the correct range.
// `-324 <= exponent <= 308`, so `x * log10(2)` must be in [-100, 92] (for f64).
// We have precomputed powers for [-292, 326] for f64 (same logic applies for
// f32) so this is **ALWAYS** safe.
let pow5: <F as DragonboxFloat>::Power = unsafe { F::dragonbox_power(-minus_k) };
let beta = exponent + floor_log2_pow10(-minus_k);
// Compute zi and deltai.
// 10^kappa <= deltai < 10^(kappa + 1)
let two_fc = mantissa << 1;
let deltai = F::compute_delta(&pow5, beta - shorter as i32);
let zi = F::compute_mul(two_fc << beta, &pow5).0;
// Step 2: Try larger divisor; remove trailing zeros if necessary
let big_divisor = pow32(10, F::KAPPA + 1);
// Using an upper bound on zi, we might be able to optimize the division better
// than the compiler; we are computing zi / big_divisor here.
let exp = F::KAPPA + 1;
let n_max = (1 << (F::MANTISSA_SIZE + 1)) * big_divisor as u64 - 1;
let mut significand = F::divide_by_pow10(zi, exp, n_max);
let r = (zi - (big_divisor as u64).wrapping_mul(significand)) as u32;
// Check for short-circuit.
// We use this, since the `goto` statements in dragonbox are unidiomatic
// in Rust and lead to unmaintainable code. Using a simple closure is much
// simpler, however, we do store a boolean in some cases to determine
// if we need to short-circuit.
let mut should_short_circuit = true;
if r > deltai {
should_short_circuit = false;
} else if r == deltai {
// Compare the fractional parts.
let two_f = two_fc
- if shorter {
1
} else {
2
};
if !F::compute_mul_parity(two_f, &pow5, beta).0 {
should_short_circuit = false;
}
}
if should_short_circuit {
let (mant, exp) = F::process_trailing_zeros(significand, minus_k + F::KAPPA as i32 + 1);
extended_float(mant, exp)
} else {
// Step 3: Find the significand with the smaller divisor
significand *= 10;
significand -= F::div_pow10(r) as u64;
// Ensure we haven't re-assigned exponent or minus_k.
assert!(float.exponent() == exponent);
debug_assert!(
minus_k == floor_log10_pow2(float.exponent() - shorter as i32) - F::KAPPA as i32
);
extended_float(significand, minus_k + F::KAPPA as i32)
}
}
// DIGITS
// ------
// NOTE: Dragonbox has a heavily-branched, dubiously optimized algorithm using
// fast division, that leads to no practical performance benefits in my
// benchmarks, and the division algorithm is at best ~3% faster. It also tries
// to avoid writing digits extensively, but requires division operations for
// each step regardless, which means the **actual** overhead of said branching
// likely exceeds any benefits. The code is also impossible to maintain, and in
// my benchmarks is slower (by a small amount) for a 32-bit mantissa, and a
// **lot** slower for a 64-bit mantissa, where we need to trim trailing zeros.
/// Write the significant digits, when the significant digits can fit in a
/// 32-bit integer. `log10(2**32-1) < 10`, so 10 digits is always enough.
///
/// Returns the number of digits written. This assumes any trailing zeros have
/// been removed.
#[inline(always)]
#[allow(clippy::branches_sharing_code)] // reason="could differentiate later"
pub fn write_digits_u32(bytes: &mut [u8], mantissa: u32) -> usize {
debug_assert!(bytes.len() >= 10);
mantissa.write_mantissa::<u32, { STANDARD }>(bytes)
}
/// Write the significant digits, when the significant digits cannot fit in a
/// 32-bit integer.
///
/// Returns the number of digits written. Note that this might not be the
/// same as the number of digits in the mantissa, since trailing zeros will
/// be removed. `log10(2**64-1) < 20`, so 20 digits is always enough.
#[inline(always)]
#[allow(clippy::branches_sharing_code)] // reason="could differentiate later"
pub fn write_digits_u64(bytes: &mut [u8], mantissa: u64) -> usize {
debug_assert!(bytes.len() >= 20);
mantissa.write_mantissa::<u64, { STANDARD }>(bytes)
}
// EXTENDED
// --------
/// Create extended float from significant digits and exponent.
#[inline(always)]
pub const fn extended_float(mant: u64, exp: i32) -> ExtendedFloat80 {
ExtendedFloat80 {
mant,
exp,
}
}
// COMPUTE
// -------
#[inline(always)]
pub const fn floor_log2(mut n: u64) -> i32 {
let mut count = -1;
while n != 0 {
count += 1;
n >>= 1;
}
count
}
#[inline(always)]
pub const fn is_endpoint(exponent: i32, lower: i32, upper: i32) -> bool {
exponent >= lower && exponent <= upper
}
#[inline(always)]
pub fn is_right_endpoint<F: Float>(exponent: i32) -> bool {
let lower_threshold = 0;
let factors = count_factors(5, (1u64 << (F::MANTISSA_SIZE + 1)) + 1) + 1;
let upper_threshold = 2 + floor_log2(pow64(10, factors) / 3);
is_endpoint(exponent, lower_threshold, upper_threshold)
}
#[inline(always)]
pub fn is_left_endpoint<F: Float>(exponent: i32) -> bool {
let lower_threshold = 2;
let factors = count_factors(5, (1u64 << (F::MANTISSA_SIZE + 2)) - 1) + 1;
let upper_threshold = 2 + floor_log2(pow64(10, factors) / 3);
is_endpoint(exponent, lower_threshold, upper_threshold)
}
// MUL
// ---
#[inline(always)]
pub const fn umul128_upper64(x: u64, y: u64) -> u64 {
let p = x as u128 * y as u128;
(p >> 64) as u64
}
#[inline(always)]
pub const fn umul192_upper128(x: u64, hi: u64, lo: u64) -> (u64, u64) {
let mut r = x as u128 * hi as u128;
r += umul128_upper64(x, lo) as u128;
((r >> 64) as u64, r as u64)
}
#[inline(always)]
pub const fn umul192_lower128(x: u64, yhi: u64, ylo: u64) -> (u64, u64) {
let hi = x.wrapping_mul(yhi);
let hi_lo = x as u128 * ylo as u128;
// NOTE: This can wrap exactly to 0, and this is desired.
(hi.wrapping_add((hi_lo >> 64) as u64), hi_lo as u64)
}
#[inline(always)]
pub const fn umul96_upper64(x: u64, y: u64) -> u64 {
umul128_upper64(x << 32, y)
}
#[inline(always)]
pub const fn umul96_lower64(x: u64, y: u64) -> u64 {
x.wrapping_mul(y)
}
// LOG
// ---
/// Calculate `x * log5(2)` quickly.
/// Generated by `etc/log.py`.
/// Only needs to be valid for values from `[-1492, 1492]`
#[inline(always)]
pub const fn floor_log5_pow2(q: i32) -> i32 {
q.wrapping_mul(225799) >> 19
}
/// Calculate `x * log10(2)` quickly.
/// Generated by `etc/log.py`.
/// Only needs to be valid for values from `[-1700, 1700]`
#[inline(always)]
pub const fn floor_log10_pow2(q: i32) -> i32 {
q.wrapping_mul(315653) >> 20
}
/// Calculate `x * log2(10)` quickly.
/// Generated by `etc/log.py`.
/// Only needs to be valid for values from `[-1233, 1233]`
#[inline(always)]
pub const fn floor_log2_pow10(q: i32) -> i32 {
q.wrapping_mul(1741647) >> 19
}
/// Calculate `x * log5(2) - log5(3)` quickly.
/// Generated by `etc/log.py`.
/// Only needs to be valid for values from `[-2427, 2427]`
#[inline(always)]
pub const fn floor_log5_pow2_minus_log5_3(q: i32) -> i32 {
q.wrapping_mul(451597).wrapping_sub(715764) >> 20
}
/// Calculate `(x * log10(2) - log10(4 / 3))` quickly.
/// Generated by `etc/log.py`.
/// Only needs to be valid for values from `[-1700, 1700]`
#[inline(always)]
pub const fn floor_log10_pow2_minus_log10_4_over_3(q: i32) -> i32 {
// NOTE: these values aren't actually exact:
// They're off for -295 and 97, so any automated way of computing
// them will also be off.
q.wrapping_mul(1262611).wrapping_sub(524031) >> 22
}
// POW
// ---
/// const fn to calculate `radix^exp`.
#[inline(always)]
pub const fn pow32(radix: u32, mut exp: u32) -> u32 {
let mut p = 1;
while exp > 0 {
p *= radix;
exp -= 1;
}
p
}
/// const fn to calculate `radix^exp`.
#[inline(always)]
pub const fn pow64(radix: u32, mut exp: u32) -> u64 {
let mut p = 1;
while exp > 0 {
p *= radix as u64;
exp -= 1;
}
p
}
/// Counter the number of powers of radix are in `n`.
#[inline(always)]
pub const fn count_factors(radix: u32, mut n: u64) -> u32 {
let mut c = 0;
while n != 0 && n % radix as u64 == 0 {
n /= radix as u64;
c += 1;
}
c
}
// DIV
// ---
// Compute floor(n / 10^exp) for small exp.
// Precondition: exp >= 0.
#[inline(always)]
pub const fn divide_by_pow10_32(n: u32, exp: u32) -> u32 {
// Specialize for 32-bit division by 100.
// Compiler is supposed to generate the identical code for just writing
// "n / 100", but for some reason MSVC generates an inefficient code
// (mul + mov for no apparent reason, instead of single imul),
// so we does this manually.
if exp == 2 {
((n as u64 * 1374389535) >> 37) as u32
} else {
let divisor = pow32(exp, 10);
n / divisor
}
}
// Compute floor(n / 10^exp) for small exp.
// Precondition: n <= n_max
#[inline(always)]
pub const fn divide_by_pow10_64(n: u64, exp: u32, n_max: u64) -> u64 {
// Specialize for 64-bit division by 1000.
// Ensure that the correctness condition is met.
if exp == 3 && n_max <= 15534100272597517998 {
umul128_upper64(n, 2361183241434822607) >> 7
} else {
let divisor = pow64(exp, 10);
n / divisor
}
}
// ROUNDING
// --------
impl RoundMode {
/// Determine if we should round down.
#[inline(always)]
pub const fn prefer_round_down(&self, significand: u64) -> bool {
match self {
RoundMode::Round => significand % 2 != 0,
RoundMode::Truncate => true,
}
}
}
// INTERVAL TYPE
// -------------
/// Interval types for rounding modes to compute endpoints.
#[non_exhaustive]
pub enum IntervalType {
Symmetric(bool),
Asymmetric(bool),
Closed,
Open,
LeftClosedRightOpen,
RightClosedLeftOpen,
}
impl IntervalType {
/// Determine if the interval type is symmetric.
#[inline(always)]
pub fn is_symmetric(&self) -> bool {
match self {
Self::Symmetric(_) => true,
Self::Asymmetric(_) => false,
Self::Closed => true,
Self::Open => true,
Self::LeftClosedRightOpen => false,
Self::RightClosedLeftOpen => false,
}
}
/// Determine if we include the left endpoint.
#[inline(always)]
pub fn include_left_endpoint(&self) -> bool {
match self {
Self::Symmetric(closed) => *closed,
Self::Asymmetric(left_closed) => *left_closed,
Self::Closed => true,
Self::Open => false,
Self::LeftClosedRightOpen => true,
Self::RightClosedLeftOpen => false,
}
}
/// Determine if we include the right endpoint.
#[inline(always)]
pub fn include_right_endpoint(&self) -> bool {
match self {
Self::Symmetric(closed) => *closed,
Self::Asymmetric(left_closed) => !*left_closed,
Self::Closed => true,
Self::Open => false,
Self::LeftClosedRightOpen => false,
Self::RightClosedLeftOpen => true,
}
}
}
// ENDPOINTS
// ---------
/// Compute the left endpoint from a 64-bit power-of-5.
#[inline(always)]
pub fn compute_left_endpoint_u64<F: DragonboxFloat>(pow5: u64, beta: i32) -> u64 {
let zero_carry = pow5 >> (F::MANTISSA_SIZE as usize + 2);
let mantissa_shift = 64 - F::MANTISSA_SIZE as usize - 1;
(pow5 - zero_carry) >> (mantissa_shift as i32 - beta)
}
#[inline(always)]
pub fn compute_right_endpoint_u64<F: DragonboxFloat>(pow5: u64, beta: i32) -> u64 {
let zero_carry = pow5 >> (F::MANTISSA_SIZE as usize + 1);
let mantissa_shift = 64 - F::MANTISSA_SIZE as usize - 1;
(pow5 + zero_carry) >> (mantissa_shift as i32 - beta)
}
/// Determine if we should round up for the short interval case.
#[inline(always)]
pub fn compute_round_up_u64<F: DragonboxFloat>(pow5: u64, beta: i32) -> u64 {
let shift = 64 - F::MANTISSA_SIZE - 2;
((pow5 >> (shift - beta)) + 1) / 2
}
// DRAGONBOX FLOAT
// ---------------
/// Get the high bits from the power-of-5.
#[inline(always)]
pub const fn high(pow5: &(u64, u64)) -> u64 {
pow5.0
}
/// Get the low bits from the power-of-5.
#[inline(always)]
pub const fn low(pow5: &(u64, u64)) -> u64 {
pow5.1
}
/// ROR instruction for 32-bit type.
#[inline(always)]
pub const fn rotr32(n: u32, r: u32) -> u32 {
let r = r & 31;
(n >> r) | (n << (32 - r))
}
/// ROR instruction for 64-bit type.
#[inline(always)]
pub const fn rotr64(n: u64, r: u64) -> u64 {
let r = r & 63;
(n >> r) | (n << (64 - r))
}
/// Magic numbers for division by a power of 10.
/// Replace n by floor(n / 10^N).
/// Returns true if and only if n is divisible by 10^N.
/// Precondition: n <= 10^(N+1)
/// !!It takes an in-out parameter!!
struct Div10Info {
magic_number: u32,
shift_amount: i32,
}
const F32_DIV10_INFO: Div10Info = Div10Info {
magic_number: 6554,
shift_amount: 16,
};
const F64_DIV10_INFO: Div10Info = Div10Info {
magic_number: 656,
shift_amount: 16,
};
macro_rules! check_div_pow10 {
($n:ident, $exp:literal, $float:ident, $info:ident) => {{
// Make sure the computation for max_n does not overflow.
debug_assert!($exp + 2 < floor_log10_pow2(31));
debug_assert!($n as u64 <= pow64(10, $exp + 1));
let n = $n.wrapping_mul($info.magic_number);
let mask = (1u32 << $info.shift_amount) - 1;
let r = (n & mask) < $info.magic_number;
(n >> $info.shift_amount, r)
}};
}
// These constants are efficient because we can do it in 32-bits.
const MOD_INV_5_U32: u32 = 0xCCCC_CCCD;
const MOD_INV_25_U32: u32 = MOD_INV_5_U32.wrapping_mul(MOD_INV_5_U32);
const MOD_INV_5_U64: u64 = 0xCCCC_CCCC_CCCC_CCCD;
const MOD_INV_25_U64: u64 = MOD_INV_5_U64.wrapping_mul(MOD_INV_5_U64);
macro_rules! div_pow10 {
($n:ident, $info:ident) => {{
$n.wrapping_mul($info.magic_number) >> $info.shift_amount
}};
}
/// Trait with specialized methods for the Dragonbox algorithm.
pub trait DragonboxFloat: Float {
/// Constant derived in Section 4.5 of the Dragonbox algorithm.
const KAPPA: u32;
/// Ceiling of the maximum number of float decimal digits + 1.
/// Or, `ceil((MANTISSA_SIZE + 1) / log2(10)) + 1`.
const DECIMAL_DIGITS: usize;
const FC_PM_HALF_LOWER: i32 = -(Self::KAPPA as i32) - floor_log5_pow2(Self::KAPPA as i32);
const DIV_BY_5_THRESHOLD: i32 = floor_log2_pow10(Self::KAPPA as i32 + 1);
type Power;
/// Quick calculation for the number of significant digits in the float.
fn digit_count(mantissa: u64) -> usize;
/// Write the significant digits to a buffer.
///
/// Does not handle rounding or truncated digits.
fn write_digits(bytes: &mut [u8], mantissa: u64) -> usize;
/// Get the pre-computed Dragonbox power from the exponent.
///
/// # Safety
///
/// Safe as long as the exponent is within the valid power-of-5 range.
unsafe fn dragonbox_power(exponent: i32) -> Self::Power;
/// Compute the left endpoint for the shorter interval case.
fn compute_left_endpoint(pow5: &Self::Power, beta_minus_1: i32) -> u64;
/// Compute the right endpoint for the shorter interval case.
fn compute_right_endpoint(pow5: &Self::Power, beta_minus_1: i32) -> u64;
/// Handle rounding-up for the short interval case.
fn compute_round_up(pow5: &Self::Power, beta_minus_1: i32) -> u64;
fn compute_mul(u: u64, pow5: &Self::Power) -> (u64, bool);
fn compute_mul_parity(two_f: u64, pow5: &Self::Power, beta_minus_1: i32) -> (bool, bool);
fn compute_delta(pow5: &Self::Power, beta_minus_1: i32) -> u32;
/// Handle trailing zeros, conditional on the float type.
fn process_trailing_zeros(mantissa: u64, exponent: i32) -> (u64, i32);
/// Remove trailing zeros from the float.
fn remove_trailing_zeros(mantissa: u64) -> (u64, i32);
/// Determine if `two_f` is divisible by 2^exp.
#[inline(always)]
fn divisible_by_pow2(x: u64, exp: u32) -> bool {
// Preconditions: exp >= 1 && x != 0
x.trailing_zeros() >= exp
}
// Replace n by floor(n / 10^N).
// Returns true if and only if n is divisible by 10^N.
// Precondition: n <= 10^(N+1)
fn check_div_pow10(n: u32) -> (u32, bool);
// Compute floor(n / 10^N) for small n and exp.
// Precondition: n <= 10^(N+1)
fn div_pow10(n: u32) -> u32;
// Compute floor(n / 10^N) for small N.
// Precondition: n <= n_max
fn divide_by_pow10(n: u64, exp: u32, n_max: u64) -> u64;
}
impl DragonboxFloat for f32 {
const KAPPA: u32 = 1;
const DECIMAL_DIGITS: usize = 9;
type Power = u64;
#[inline(always)]
fn digit_count(mantissa: u64) -> usize {
debug_assert!(mantissa <= u32::MAX as u64);
(mantissa as u32).digit_count()
}
#[inline(always)]
fn write_digits(bytes: &mut [u8], mantissa: u64) -> usize {
debug_assert!(mantissa <= u32::MAX as u64);
write_digits_u32(bytes, mantissa as u32)
}
#[inline(always)]
unsafe fn dragonbox_power(exponent: i32) -> Self::Power {
debug_assert!((SMALLEST_F32_POW5..=LARGEST_F32_POW5).contains(&exponent));
let index = (exponent - SMALLEST_F32_POW5) as usize;
// SAFETY: safe if the exponent is in the correct range.
unsafe { index_unchecked!(DRAGONBOX32_POWERS_OF_FIVE[index]) }
}
#[inline(always)]
fn compute_left_endpoint(pow5: &Self::Power, beta_minus_1: i32) -> u64 {
compute_left_endpoint_u64::<Self>(*pow5, beta_minus_1)
}
#[inline(always)]
fn compute_right_endpoint(pow5: &Self::Power, beta_minus_1: i32) -> u64 {
compute_right_endpoint_u64::<Self>(*pow5, beta_minus_1)
}
#[inline(always)]
fn compute_round_up(pow5: &Self::Power, beta_minus_1: i32) -> u64 {
compute_round_up_u64::<Self>(*pow5, beta_minus_1)
}
#[inline(always)]
fn compute_mul(u: u64, pow5: &Self::Power) -> (u64, bool) {
let r = umul96_upper64(u, *pow5);
(r >> 32, (r as u32) == 0)
}
#[inline(always)]
fn compute_mul_parity(two_f: u64, pow5: &Self::Power, beta: i32) -> (bool, bool) {
debug_assert!((1..64).contains(&beta));
let r = umul96_lower64(two_f, *pow5);
let parity = (r >> (64 - beta)) & 1;
let is_integer = r >> (32 - beta);
(parity != 0, is_integer == 0)
}
#[inline(always)]
fn compute_delta(pow5: &Self::Power, beta: i32) -> u32 {
(*pow5 >> (64 - 1 - beta)) as u32
}
#[inline(always)]
fn process_trailing_zeros(mantissa: u64, exponent: i32) -> (u64, i32) {
// Policy is to remove the trailing zeros.
let (mantissa, trailing) = Self::remove_trailing_zeros(mantissa);
(mantissa, exponent + trailing)
}
#[inline(always)]
fn remove_trailing_zeros(mantissa: u64) -> (u64, i32) {
debug_assert!(mantissa <= u32::MAX as u64);
debug_assert!(mantissa != 0);
let mut n = mantissa as u32;
let mut quo: u32;
let mut s: i32 = 0;
loop {
quo = rotr32(n.wrapping_mul(MOD_INV_25_U32), 2);
if quo <= u32::MAX / 100 {
n = quo;
s += 2;
} else {
break;
}
}
quo = rotr32(n.wrapping_mul(MOD_INV_5_U32), 1);
if quo <= u32::MAX / 10 {
n = quo;
s |= 1;
}
(n as u64, s)
}
#[inline(always)]
fn check_div_pow10(n: u32) -> (u32, bool) {
check_div_pow10!(n, 1, f32, F32_DIV10_INFO)
}
#[inline(always)]
fn div_pow10(n: u32) -> u32 {
div_pow10!(n, F32_DIV10_INFO)
}
#[inline(always)]
fn divide_by_pow10(n: u64, exp: u32, _: u64) -> u64 {
divide_by_pow10_32(n as u32, exp) as u64
}
}
impl DragonboxFloat for f64 {
const KAPPA: u32 = 2;
const DECIMAL_DIGITS: usize = 17;
type Power = (u64, u64);
#[inline(always)]
fn digit_count(mantissa: u64) -> usize {
mantissa.digit_count()
}
#[inline(always)]
fn write_digits(bytes: &mut [u8], mantissa: u64) -> usize {
write_digits_u64(bytes, mantissa)
}
#[inline(always)]
unsafe fn dragonbox_power(exponent: i32) -> Self::Power {
debug_assert!((SMALLEST_F64_POW5..=LARGEST_F64_POW5).contains(&exponent));
let index = (exponent - SMALLEST_F64_POW5) as usize;
// SAFETY: safe if the exponent is in the correct range.
unsafe { index_unchecked!(DRAGONBOX64_POWERS_OF_FIVE[index]) }
}
#[inline(always)]
fn compute_left_endpoint(pow5: &Self::Power, beta_minus_1: i32) -> u64 {
compute_left_endpoint_u64::<Self>(high(pow5), beta_minus_1)
}
#[inline(always)]
fn compute_right_endpoint(pow5: &Self::Power, beta_minus_1: i32) -> u64 {
compute_right_endpoint_u64::<Self>(high(pow5), beta_minus_1)
}
#[inline(always)]
fn compute_round_up(pow5: &Self::Power, beta_minus_1: i32) -> u64 {
compute_round_up_u64::<Self>(high(pow5), beta_minus_1)
}
#[inline(always)]
fn compute_mul(u: u64, pow5: &Self::Power) -> (u64, bool) {
let (hi, lo) = umul192_upper128(u, high(pow5), low(pow5));
(hi, lo == 0)
}
#[inline(always)]
fn compute_mul_parity(two_f: u64, pow5: &Self::Power, beta: i32) -> (bool, bool) {
debug_assert!((1..64).contains(&beta));
let (rhi, rlo) = umul192_lower128(two_f, high(pow5), low(pow5));
let parity = (rhi >> (64 - beta)) & 1;
let is_integer = (rhi << beta) | (rlo >> (64 - beta));
(parity != 0, is_integer == 0)
}
#[inline(always)]
fn compute_delta(pow5: &Self::Power, beta: i32) -> u32 {
(high(pow5) >> (64 - 1 - beta)) as u32
}
#[inline(always)]
fn process_trailing_zeros(mantissa: u64, exponent: i32) -> (u64, i32) {
// Policy is to remove the trailing zeros.
// This differs from dragonbox proper, but leads to faster benchmarks.
let (mantissa, trailing) = Self::remove_trailing_zeros(mantissa);
(mantissa, exponent + trailing)
}
#[inline(always)]
fn remove_trailing_zeros(mantissa: u64) -> (u64, i32) {
debug_assert!(mantissa != 0);
// This magic number is ceil(2^90 / 10^8).
let magic_number = 12379400392853802749u64;
let nm = mantissa as u128 * magic_number as u128;
// Is n is divisible by 10^8?
let high = (nm >> 64) as u64;
let mask = (1 << (90 - 64)) - 1;
let low = nm as u64;
if high & mask == 0 && low < magic_number {
// If yes, work with the quotient.
let mut n = (high >> (90 - 64)) as u32;
let mut s: i32 = 8;
let mut quo: u32;
loop {
quo = rotr32(n.wrapping_mul(MOD_INV_25_U32), 2);
if quo <= u32::MAX / 100 {
n = quo;
s += 2;
} else {
break;
}
}
quo = rotr32(n.wrapping_mul(MOD_INV_5_U32), 1);
if quo <= u32::MAX / 10 {
n = quo;
s |= 1;
}
(n as u64, s)
} else {
// If n is not divisible by 10^8, work with n itself.
let mut n = mantissa;
let mut s: i32 = 0;
let mut quo: u64;
loop {
quo = rotr64(n.wrapping_mul(MOD_INV_25_U64), 2);
if quo <= u64::MAX / 100 {
n = quo;
s += 2;
} else {
break;
}
}
quo = rotr64(n.wrapping_mul(MOD_INV_5_U64), 1);
if quo <= u64::MAX / 10 {
n = quo;
s |= 1;
}
(n, s)
}
}
#[inline(always)]
fn check_div_pow10(n: u32) -> (u32, bool) {
check_div_pow10!(n, 2, f64, F64_DIV10_INFO)
}
#[inline(always)]
fn div_pow10(n: u32) -> u32 {
div_pow10!(n, F64_DIV10_INFO)
}
#[inline(always)]
fn divide_by_pow10(n: u64, exp: u32, n_max: u64) -> u64 {
divide_by_pow10_64(n, exp, n_max)
}
}
#[cfg(feature = "f16")]
macro_rules! dragonbox_unimpl {
($($t:ident)*) => ($(
impl DragonboxFloat for $t {
const KAPPA: u32 = 0;
const DECIMAL_DIGITS: usize = 0;
type Power = u64;
#[inline(always)]
fn digit_count(_: u64) -> usize {
unimplemented!()
}
#[inline(always)]
fn write_digits(_: &mut [u8], _: u64) -> usize {
unimplemented!()
}
#[inline(always)]
unsafe fn dragonbox_power(_: i32) -> Self::Power {
unimplemented!()
}
#[inline(always)]
fn compute_left_endpoint(_: &Self::Power, _: i32) -> u64 {
unimplemented!()
}
#[inline(always)]
fn compute_right_endpoint(_: &Self::Power, _: i32) -> u64 {
unimplemented!()
}
#[inline(always)]
fn compute_round_up(_: &Self::Power, _: i32) -> (u64, bool) {
unimplemented!()
}
#[inline(always)]
fn compute_mul(_: u64, _: &Self::Power) -> (u64, bool) {
unimplemented!()
}
#[inline(always)]
fn compute_mul_parity(_: u64, _: &Self::Power, _: i32) -> (bool, bool) {
unimplemented!()
}
#[inline(always)]
fn compute_delta(_: &Self::Power, _: i32) -> u32 {
unimplemented!()
}
#[inline(always)]
fn process_trailing_zeros(_: u64, _: i32) -> (u64, i32) {
unimplemented!()
}
#[inline(always)]
fn remove_trailing_zeros(_: u64) -> (u64, i32) {
unimplemented!()
}
#[inline(always)]
fn check_div_pow10(_: u32) -> (u32, bool) {
unimplemented!()
}
#[inline(always)]
fn div_pow10(_: u32) -> u32 {
unimplemented!()
}
}
)*);
}
#[cfg(feature = "f16")]
dragonbox_unimpl! { bf16 f16 }