Coverage Report

Created: 2026-01-22 07:28

next uncovered line (L), next uncovered region (R), next uncovered branch (B)
/rust/registry/src/index.crates.io-1949cf8c6b5b557f/pxfm-0.1.27/src/bessel/beta0.rs
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Source
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/*
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 * // Copyright (c) Radzivon Bartoshyk 8/2025. All rights reserved.
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 * //
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 * // Redistribution and use in source and binary forms, with or without modification,
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 * // are permitted provided that the following conditions are met:
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 * //
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 * // 1.  Redistributions of source code must retain the above copyright notice, this
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 * // list of conditions and the following disclaimer.
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 * //
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 * // 2.  Redistributions in binary form must reproduce the above copyright notice,
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 * // this list of conditions and the following disclaimer in the documentation
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 * // and/or other materials provided with the distribution.
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 * //
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 * // 3.  Neither the name of the copyright holder nor the names of its
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 * // contributors may be used to endorse or promote products derived from
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 * // this software without specific prior written permission.
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 * //
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 * // THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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 * // AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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 * // IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
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 * // DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
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 * // FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
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 * // DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
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 * // SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
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 * // CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
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 * // OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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 * // OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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 */
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use crate::double_double::DoubleDouble;
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use crate::dyadic_float::{DyadicFloat128, DyadicSign};
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use crate::polyeval::f_polyeval9;
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/**
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Beta series
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Generated by SageMath:
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```python
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#generate b series
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def binomial_like(n, m):
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    prod = QQ(1)
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    z = QQ(4)*(n**2)
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    for k in range(1,m + 1):
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        prod *= (z - (2*k - 1)**2)
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    return prod / (QQ(2)**(2*m) * (ZZ(m).factorial()))
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R = LaurentSeriesRing(RealField(300), 'x',default_prec=300)
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x = R.gen()
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def Pn_asymptotic(n, y, terms=10):
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    # now y = 1/x
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    return sum( (-1)**m * binomial_like(n, 2*m) / (QQ(2)**(2*m)) * y**(QQ(2)*m) for m in range(terms) )
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def Qn_asymptotic(n, y, terms=10):
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    return sum( (-1)**m * binomial_like(n, 2*m + 1) / (QQ(2)**(2*m + 1)) * y**(QQ(2)*m + 1) for m in range(terms) )
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P = Pn_asymptotic(0, x, 50)
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Q = Qn_asymptotic(0, x, 50)
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def sqrt_series(s):
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    val = S.valuation()
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    lc = S[val]  # Leading coefficient
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    b = lc.sqrt() * x**(val // 2)
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    for _ in range(5):
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        b = (b + S / b) / 2
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        b = b
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    return b
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S = (P**2 + Q**2).truncate(50)
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b_series = sqrt_series(S).truncate(30)
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#see the series
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print(b_series)
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```
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**/
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#[inline]
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0
pub(crate) fn bessel_0_asympt_beta(recip: DoubleDouble) -> DoubleDouble {
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    const C: [(u64, u64); 10] = [
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        (0x0000000000000000, 0x3ff0000000000000),
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        (0x0000000000000000, 0xbfb0000000000000),
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        (0x0000000000000000, 0x3fba800000000000),
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        (0x0000000000000000, 0xbfe15f0000000000),
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        (0x0000000000000000, 0x4017651180000000),
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        (0x0000000000000000, 0xc05ab8c13b800000),
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        (0x0000000000000000, 0x40a730492f262000),
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        (0x0000000000000000, 0xc0fc73a7acd696f0),
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        (0xbdf3a00000000000, 0x41577458dd9fce68),
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        (0xbe4ba6b000000000, 0xc1b903ab9b27e18f),
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    ];
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    // Doing (1/x)*(1/x) instead (1/(x*x)) to avoid spurious overflow/underflow
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    let x2 = DoubleDouble::quick_mult(recip, recip);
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    let mut p = DoubleDouble::mul_add(
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        x2,
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        DoubleDouble::from_bit_pair(C[9]),
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        DoubleDouble::from_bit_pair(C[8]),
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    );
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    p = DoubleDouble::mul_add_f64(x2, p, f64::from_bits(C[7].1));
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    p = DoubleDouble::mul_add_f64(x2, p, f64::from_bits(C[6].1));
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    p = DoubleDouble::mul_add_f64(x2, p, f64::from_bits(C[5].1));
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    p = DoubleDouble::mul_add_f64(x2, p, f64::from_bits(C[4].1));
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    p = DoubleDouble::mul_add_f64(x2, p, f64::from_bits(C[3].1));
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    p = DoubleDouble::mul_add_f64(x2, p, f64::from_bits(C[2].1));
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    p = DoubleDouble::mul_add_f64(x2, p, f64::from_bits(C[1].1));
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    p = DoubleDouble::mul_add_f64(x2, p, f64::from_bits(C[0].1));
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    p
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0
}
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/**
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Beta series
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Generated by SageMath:
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```python
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#generate b series
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def binomial_like(n, m):
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    prod = QQ(1)
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    z = QQ(4)*(n**2)
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    for k in range(1,m + 1):
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        prod *= (z - (2*k - 1)**2)
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    return prod / (QQ(2)**(2*m) * (ZZ(m).factorial()))
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R = LaurentSeriesRing(RealField(300), 'x',default_prec=300)
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x = R.gen()
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def Pn_asymptotic(n, y, terms=10):
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    # now y = 1/x
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    return sum( (-1)**m * binomial_like(n, 2*m) / (QQ(2)**(2*m)) * y**(QQ(2)*m) for m in range(terms) )
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def Qn_asymptotic(n, y, terms=10):
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    return sum( (-1)**m * binomial_like(n, 2*m + 1) / (QQ(2)**(2*m + 1)) * y**(QQ(2)*m + 1) for m in range(terms) )
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P = Pn_asymptotic(0, x, 50)
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Q = Qn_asymptotic(0, x, 50)
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def sqrt_series(s):
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    val = S.valuation()
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    lc = S[val]  # Leading coefficient
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    b = lc.sqrt() * x**(val // 2)
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    for _ in range(5):
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        b = (b + S / b) / 2
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        b = b
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    return b
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S = (P**2 + Q**2).truncate(50)
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b_series = sqrt_series(S).truncate(30)
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#see the series
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print(b_series)
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```
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**/
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#[inline]
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pub(crate) fn bessel_0_asympt_beta_fast(recip: DoubleDouble) -> DoubleDouble {
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    const C: [u64; 10] = [
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        0x3ff0000000000000,
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        0xbfb0000000000000,
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        0x3fba800000000000,
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        0xbfe15f0000000000,
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        0x4017651180000000,
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        0xc05ab8c13b800000,
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        0x40a730492f262000,
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        0xc0fc73a7acd696f0,
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        0x41577458dd9fce68,
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        0xc1b903ab9b27e18f,
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    ];
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    // Doing (1/x)*(1/x) instead (1/(x*x)) to avoid spurious overflow/underflow
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    let x2 = DoubleDouble::quick_mult(recip, recip);
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    let p = f_polyeval9(
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        x2.hi,
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        f64::from_bits(C[1]),
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        f64::from_bits(C[2]),
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        f64::from_bits(C[3]),
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        f64::from_bits(C[4]),
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        f64::from_bits(C[5]),
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        f64::from_bits(C[6]),
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        f64::from_bits(C[7]),
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        f64::from_bits(C[8]),
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        f64::from_bits(C[9]),
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    );
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    DoubleDouble::mul_f64_add_f64(x2, p, f64::from_bits(C[0]))
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0
}
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/// see [bessel_0_asympt_beta] for more info
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0
pub(crate) fn bessel_0_asympt_beta_hard(recip: DyadicFloat128) -> DyadicFloat128 {
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    static C: [DyadicFloat128; 12] = [
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        DyadicFloat128 {
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            sign: DyadicSign::Pos,
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            exponent: -127,
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            mantissa: 0x80000000_00000000_00000000_00000000_u128,
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        },
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        DyadicFloat128 {
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            sign: DyadicSign::Neg,
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            exponent: -131,
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            mantissa: 0x80000000_00000000_00000000_00000000_u128,
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        },
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        DyadicFloat128 {
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            sign: DyadicSign::Pos,
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            exponent: -131,
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            mantissa: 0xd4000000_00000000_00000000_00000000_u128,
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        },
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        DyadicFloat128 {
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            sign: DyadicSign::Neg,
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            exponent: -128,
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            mantissa: 0x8af80000_00000000_00000000_00000000_u128,
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        },
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        DyadicFloat128 {
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            sign: DyadicSign::Pos,
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            exponent: -125,
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            mantissa: 0xbb288c00_00000000_00000000_00000000_u128,
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        },
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        DyadicFloat128 {
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            sign: DyadicSign::Neg,
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            exponent: -121,
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            mantissa: 0xd5c609dc_00000000_00000000_00000000_u128,
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        },
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        DyadicFloat128 {
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            sign: DyadicSign::Pos,
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            exponent: -116,
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            mantissa: 0xb9824979_31000000_00000000_00000000_u128,
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        },
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        DyadicFloat128 {
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            sign: DyadicSign::Neg,
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            exponent: -111,
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            mantissa: 0xe39d3d66_b4b78000_00000000_00000000_u128,
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        },
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        DyadicFloat128 {
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            sign: DyadicSign::Pos,
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            exponent: -105,
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            mantissa: 0xbba2c6ec_fe733d8c_00000000_00000000_u128,
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        },
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        DyadicFloat128 {
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            sign: DyadicSign::Neg,
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            exponent: -99,
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            mantissa: 0xc81d5cd9_3f0c79ba_6b000000_00000000_u128,
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        },
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        DyadicFloat128 {
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            sign: DyadicSign::Pos,
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            exponent: -92,
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            mantissa: 0x86118ddf_c1ffc100_0ee1b000_00000000_u128,
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        },
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        DyadicFloat128 {
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            sign: DyadicSign::Neg,
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            exponent: -86,
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            mantissa: 0xdc7ccfa9_930b874d_52df3464_00000000_u128,
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        },
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    ];
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0
    let x2 = recip * recip;
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0
    let mut p = C[11];
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    for i in (0..11).rev() {
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0
        p = x2 * p + C[i];
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0
    }
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0
    p
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0
}