test/numext.cpp

// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2017 Gael Guennebaud <gael.guennebaud@inria.fr>
//
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
// SPDX-License-Identifier: MPL-2.0

#include "main.h"
#include "twoprod_helpers.h"
#include "fp_control.h"

#if EIGEN_COMP_MSVC
#include <cfenv>
#endif

template <typename T, typename U>
bool check_if_equal_or_nans(const T& actual, const U& expected) {
  return (numext::equal_strict(actual, expected) || ((numext::isnan)(actual) && (numext::isnan)(expected)));
}

template <typename T, typename U>
bool check_if_equal_or_nans(const std::complex<T>& actual, const std::complex<U>& expected) {
  return check_if_equal_or_nans(numext::real(actual), numext::real(expected)) &&
         check_if_equal_or_nans(numext::imag(actual), numext::imag(expected));
}

template <typename T, typename U>
bool test_is_equal_or_nans(const T& actual, const U& expected) {
  if (check_if_equal_or_nans(actual, expected)) {
    return true;
  }

  // false:
  std::cerr << "\n    actual   = " << actual << "\n    expected = " << expected << "\n\n";
  return false;
}

#define VERIFY_IS_EQUAL_OR_NANS(a, b) VERIFY(test_is_equal_or_nans(a, b))

template <typename T>
struct check_copysign_impl {
  static void run() {
    const T pos_zero = T(0);
    const T pos_one = T(1);

    // Tests valid for all types.
    VERIFY_IS_EQUAL(numext::copysign(pos_one, pos_one), pos_one);
    VERIFY_IS_EQUAL(numext::copysign(pos_zero, pos_one), pos_zero);

    // Tests valid for all signed types (integer and floating-point).
    if (NumTraits<T>::IsSigned) {
      const T neg_one = numext::negate(pos_one);
      VERIFY_IS_EQUAL(numext::copysign(pos_one, neg_one), neg_one);
      VERIFY_IS_EQUAL(numext::copysign(neg_one, pos_one), pos_one);
      VERIFY_IS_EQUAL(numext::copysign(neg_one, neg_one), neg_one);
    }

    // Tests specific to floating-point types (negative zero, infinity, NaN).
    if (!NumTraits<T>::IsInteger) {
      const T neg_zero = numext::negate(pos_zero);
      const T neg_one = numext::negate(pos_one);
      const T pos_inf = std::numeric_limits<T>::infinity();
      const T neg_inf = numext::negate(pos_inf);
      const T pos_nan = std::numeric_limits<T>::quiet_NaN();
      const T neg_nan = numext::negate(pos_nan);
      // Sign transferred from zero.
      VERIFY_IS_EQUAL(numext::copysign(pos_one, pos_zero), pos_one);
      VERIFY_IS_EQUAL(numext::copysign(pos_one, neg_zero), neg_one);
      // Sign transferred from infinity.
      VERIFY_IS_EQUAL(numext::copysign(pos_one, pos_inf), pos_one);
      VERIFY_IS_EQUAL(numext::copysign(pos_one, neg_inf), neg_one);
      // Sign transferred from NaN.
      VERIFY_IS_EQUAL(numext::copysign(pos_one, pos_nan), pos_one);
      VERIFY_IS_EQUAL(numext::copysign(pos_one, neg_nan), neg_one);
    }

    for (int k = 0; k < 100; ++k) {
      // For signed integers avoid lowest() so that abs(a) does not overflow.
      const T a = (NumTraits<T>::IsSigned && NumTraits<T>::IsInteger)
                      ? internal::random<T>(numext::negate(NumTraits<T>::highest()), NumTraits<T>::highest())
                      : internal::random<T>();
      const T b = internal::random<T>();
      const T result = numext::copysign(a, b);
      // Magnitude is preserved.
      VERIFY_IS_EQUAL(numext::abs(result), numext::abs(a));
      // Sign matches sign source. Integers have no negative zero, so the sign
      // of the result is only meaningful when a != 0.
      if (!NumTraits<T>::IsInteger || a != T(0)) {
        VERIFY_IS_EQUAL(numext::copysign(pos_one, result), numext::copysign(pos_one, b));
      }
    }
  }
};

template <typename T>
struct check_copysign_impl<std::complex<T>> {
  static void run() {
    typedef std::complex<T> ComplexT;
    const T pos_one = T(1);
    const T neg_one = numext::negate(pos_one);

    // Complex copysign is applied component-wise.
    VERIFY_IS_EQUAL(numext::copysign(ComplexT(pos_one, pos_one), ComplexT(pos_one, neg_one)),
                    ComplexT(pos_one, neg_one));
    VERIFY_IS_EQUAL(numext::copysign(ComplexT(neg_one, pos_one), ComplexT(pos_one, neg_one)),
                    ComplexT(pos_one, neg_one));
    VERIFY_IS_EQUAL(numext::copysign(ComplexT(pos_one, neg_one), ComplexT(neg_one, pos_one)),
                    ComplexT(neg_one, pos_one));

    for (int k = 0; k < 100; ++k) {
      const ComplexT a = internal::random<ComplexT>();
      const ComplexT b = internal::random<ComplexT>();
      const ComplexT result = numext::copysign(a, b);
      // Each component is independently copysigned.
      VERIFY_IS_EQUAL(numext::real(result), numext::copysign(numext::real(a), numext::real(b)));
      VERIFY_IS_EQUAL(numext::imag(result), numext::copysign(numext::imag(a), numext::imag(b)));
    }
  }
};

template <typename T>
void check_copysign() {
  check_copysign_impl<T>::run();
}

template <>
void check_copysign<bool>() {
  for (bool a : {false, true}) {
    for (bool b : {false, true}) {
      VERIFY_IS_EQUAL(numext::copysign(a, b), a);
    }
  }
}

template <typename T>
void check_negate() {
  Index size = 1000;
  for (Index i = 0; i < size; i++) {
    T val = i == 0 ? T(0) : internal::random<T>(T(0), NumTraits<T>::highest());
    T neg_val = numext::negate(val);
    VERIFY_IS_EQUAL(T(val + neg_val), T(0));
    VERIFY_IS_EQUAL(numext::negate(neg_val), val);
  }
}

#if EIGEN_COMP_MSVC
#pragma float_control(precise, on, push)
#pragma fenv_access(on)
#endif

template <typename T>
void check_complex_exp() {
  using Complex = std::complex<T>;
  const T highest = (std::numeric_limits<T>::max)();
  const T inf = std::numeric_limits<T>::infinity();
  const T nan = std::numeric_limits<T>::quiet_NaN();

  const Complex finite_inf = numext::exp(Complex(T(1), inf));
  VERIFY((numext::isnan)(finite_inf.real()));
  VERIFY((numext::isnan)(finite_inf.imag()));

  const Complex finite_nan = numext::exp(Complex(T(1), nan));
  VERIFY((numext::isnan)(finite_nan.real()));
  VERIFY((numext::isnan)(finite_nan.imag()));

#if EIGEN_COMP_MSVC
  std::feclearexcept(FE_ALL_EXCEPT);
#endif
  const Complex highest_inf = numext::exp(Complex(highest, inf));
  VERIFY((numext::isnan)(highest_inf.real()));
  VERIFY((numext::isnan)(highest_inf.imag()));
#if EIGEN_COMP_MSVC
  VERIFY((std::fetestexcept(FE_INVALID) & FE_INVALID) != 0);
  std::feclearexcept(FE_ALL_EXCEPT);
#endif

  const Complex inf_nan = numext::exp(Complex(inf, nan));
  VERIFY((numext::isinf)(inf_nan.real()));
  VERIFY((numext::isnan)(inf_nan.imag()));
}

#if EIGEN_COMP_MSVC
#pragma fenv_access(off)
#pragma float_control(pop)
#endif

// numext::exp2(a + ib) against 2^a (cos(b ln 2) + i sin(b ln 2)) evaluated in the wider type W: each part within
// 4 ulps of the modulus (the implementation is within about 2.1), or of the smallest subnormal.
template <typename T, typename W>
void check_complex_exp2_accuracy(T a, T b) {
  const std::complex<T> w = numext::exp2(std::complex<T>(a, b));
  const W m = std::exp2(W(a));
  const W t = W(b) * W(EIGEN_LN2);
  const W ref[2] = {m * std::cos(t), m * std::sin(t)};
  const T got[2] = {w.real(), w.imag()};
  const W tol = numext::maxi(W(4) * W(NumTraits<T>::epsilon()) * m, W((std::numeric_limits<T>::denorm_min)()));
  for (int k = 0; k < 2; ++k) {
    if (numext::abs(ref[k]) > W((std::numeric_limits<T>::max)())) {
      VERIFY((numext::isinf)(got[k]) && (got[k] > T(0)) == (ref[k] > W(0)));
    } else {
      VERIFY(numext::abs(W(got[k]) - ref[k]) <= tol);
    }
  }
}

template <typename T, typename W>
void check_complex_exp2_accuracy() {
  const T emax = T(std::numeric_limits<T>::max_exponent);
  check_complex_exp2_accuracy<T, W>(T(1), T(2));
  check_complex_exp2_accuracy<T, W>(T(-3.5), T(0.75));
  check_complex_exp2_accuracy<T, W>(T(10.25), T(-7));
  check_complex_exp2_accuracy<T, W>(T(0.5), T(100.3));
  check_complex_exp2_accuracy<T, W>(T(-20), T(-1000.7));
  for (int i = 0; i < 200; ++i) {
    check_complex_exp2_accuracy<T, W>(internal::random<T>(T(-30), T(30)), internal::random<T>(T(-1000), T(1000)));
  }
  // The cases below need W's exponent range, which IBM double-double long double shares with double.
  if (std::numeric_limits<W>::max_exponent <= std::numeric_limits<T>::max_exponent ||
      std::numeric_limits<W>::min_exponent >= std::numeric_limits<T>::min_exponent) {
    return;
  }
  // 2^a overflows, 2^a cos(b ln 2) does not.
  check_complex_exp2_accuracy<T, W>(emax + T(0.5), T(1.5));
  check_complex_exp2_accuracy<T, W>(emax - T(0.25), T(-2));
#if !EIGEN_ARCH_ARM  // 32-bit ARM flushes subnormals.
  const T emin = T(std::numeric_limits<T>::min_exponent);
  check_complex_exp2_accuracy<T, W>(emin - T(std::numeric_limits<T>::digits) / T(2) + T(0.3), T(1));
  // A denormal phase that 2^a scales back into range, also past 2^(2 emax): the imaginary part to a few of its own
  // ulps, where the normwise check above is blind.
  const T b = (std::numeric_limits<T>::min)() / T(64);
  for (const T a : {T(100), T(2) * (emax - T(1)) + T(4)}) {
    const W ref = std::exp2(W(a)) * std::sin(W(b) * W(EIGEN_LN2));
    const T got = numext::exp2(std::complex<T>(a, b)).imag();
    VERIFY(numext::abs(W(got) - ref) <= W(4) * W(NumTraits<T>::epsilon()) * numext::abs(ref));
  }
#endif
}

template <typename T>
void check_complex_exp2() {
  using Complex = std::complex<T>;
  const T inf = std::numeric_limits<T>::infinity();
  const T nan = std::numeric_limits<T>::quiet_NaN();

  // Exact on the real axis, keeping the sign of a zero imaginary part.
  for (int n = -10; n <= 10; ++n) {
    VERIFY_IS_EQUAL(numext::exp2(Complex(T(n), T(0))), Complex(std::ldexp(T(1), n), T(0)));
    VERIFY((std::signbit)(numext::exp2(Complex(T(n), -T(0))).imag()));
  }

  // The special values of exp in C99 Annex G.
  VERIFY(check_if_equal_or_nans(numext::exp2(Complex(inf, T(0))), Complex(inf, T(0))));
  VERIFY(check_if_equal_or_nans(numext::exp2(Complex(-inf, T(0))), Complex(T(0), T(0))));
  VERIFY(check_if_equal_or_nans(numext::exp2(Complex(nan, T(0))), Complex(nan, T(0))));
  VERIFY(check_if_equal_or_nans(numext::exp2(Complex(inf, T(1))), Complex(inf, inf)));
  VERIFY(check_if_equal_or_nans(numext::exp2(Complex(inf, T(-2))), Complex(inf, -inf)));
  VERIFY(check_if_equal_or_nans(numext::exp2(Complex(-inf, T(1))), Complex(T(0), T(0))));
  VERIFY(check_if_equal_or_nans(numext::exp2(Complex(T(1), inf)), Complex(nan, nan)));
  VERIFY(check_if_equal_or_nans(numext::exp2(Complex(T(1), nan)), Complex(nan, nan)));
  VERIFY(check_if_equal_or_nans(numext::exp2(Complex(nan, T(1))), Complex(nan, nan)));
  VERIFY(check_if_equal_or_nans(numext::exp2(Complex(nan, nan)), Complex(nan, nan)));
  VERIFY((std::signbit)(numext::exp2(Complex(inf, -T(0))).imag()));
  const Complex at_minus_inf = numext::exp2(Complex(-inf, T(-1)));
  VERIFY(!(std::signbit)(at_minus_inf.real()) && (std::signbit)(at_minus_inf.imag()));
  for (const T b : {inf, -inf, nan}) {
    const Complex at_inf = numext::exp2(Complex(inf, b));
    VERIFY((numext::isinf)(at_inf.real()) && (numext::isnan)(at_inf.imag()));
    const Complex at_minus_inf_b = numext::exp2(Complex(-inf, b));
    VERIFY(numext::is_exactly_zero(at_minus_inf_b.real()) && numext::is_exactly_zero(at_minus_inf_b.imag()));
  }

  // exp2(conj(z)) = conj(exp2(z)).
  for (int i = 0; i < 20; ++i) {
    const Complex z(internal::random<T>(T(-30), T(30)), internal::random<T>(T(-1000), T(1000)));
    VERIFY_IS_EQUAL(numext::exp2(numext::conj(z)), numext::conj(numext::exp2(z)));
  }
  // Also where 2^a overflows, underflows or is infinite, and for a denormal phase, down to the sign of zero.
  const T emax = T(std::numeric_limits<T>::max_exponent), emin = T(std::numeric_limits<T>::min_exponent);
  const T digits = T(std::numeric_limits<T>::digits);
  for (const T a :
       {emax + T(0.5), T(2) * emax + T(4), emin - digits / T(2) + T(0.3), emin - T(2) * digits, inf, -inf}) {
    for (const T b : {T(1.5), T(5), (std::numeric_limits<T>::min)() / T(64)}) {
      const Complex w_conj = numext::exp2(Complex(a, -b)), conj_w = numext::conj(numext::exp2(Complex(a, b)));
      VERIFY_IS_EQUAL(w_conj, conj_w);
      VERIFY_IS_EQUAL((std::signbit)(w_conj.real()), (std::signbit)(conj_w.real()));
      VERIFY_IS_EQUAL((std::signbit)(w_conj.imag()), (std::signbit)(conj_w.imag()));
    }
  }
  // An imaginary part that underflows keeps the sign of sin(b ln(2)): sin(-ln(2)) < 0 < sin(-5 ln(2)).
  VERIFY((std::signbit)(numext::exp2(Complex(emin - T(2) * digits, T(-1))).imag()));
  VERIFY(!(std::signbit)(numext::exp2(Complex(emin - T(2) * digits, T(-5))).imag()));

  // The array expression, on a size with packet and tail coefficients.
  const Array<Complex, Dynamic, 1> z = Array<Complex, Dynamic, 1>::Random(17) * T(10);
  const Array<Complex, Dynamic, 1> w = z.exp2();
  for (Index i = 0; i < z.size(); ++i) VERIFY_IS_EQUAL(w(i), numext::exp2(z(i)));
}

template <typename T>
std::enable_if_t<NumTraits<T>::IsInteger && NumTraits<T>::IsSigned, T> random_abs2_input() {
  const T safeAbs2Input = static_cast<T>(std::sqrt(static_cast<long double>(NumTraits<T>::highest())));
  return internal::random<T>(-safeAbs2Input, safeAbs2Input);
}

// Note: bool resolves here (IsInteger && !IsSigned), but check_abs<bool> is fully
// specialized and never calls random_abs2_input<bool>().
template <typename T>
std::enable_if_t<NumTraits<T>::IsInteger && !NumTraits<T>::IsSigned, T> random_abs2_input() {
  const T safeAbs2Input = static_cast<T>(std::sqrt(static_cast<long double>(NumTraits<T>::highest())));
  return internal::random<T>(T(0), safeAbs2Input);
}

template <typename T>
std::enable_if_t<!NumTraits<T>::IsInteger, T> random_abs2_input() {
  typedef typename NumTraits<T>::Real Real;
  return internal::random<T>() / Real(2);
}

template <typename T>
void check_abs() {
  typedef typename NumTraits<T>::Real Real;
  Real zero(0);

  if (NumTraits<T>::IsSigned) VERIFY_IS_EQUAL(numext::abs(numext::negate(T(1))), T(1));
  VERIFY_IS_EQUAL(numext::abs(T(0)), T(0));
  VERIFY_IS_EQUAL(numext::abs(T(1)), T(1));

  for (int k = 0; k < 100; ++k) {
    T x = random_abs2_input<T>();
    if (NumTraits<T>::IsSigned) {
      VERIFY_IS_EQUAL(numext::abs(x), numext::abs(numext::negate(x)));
      VERIFY(numext::abs(numext::negate(x)) >= zero);
    }
    VERIFY(numext::abs(x) >= zero);
    VERIFY_IS_APPROX(numext::abs2(x), numext::abs2(numext::abs(x)));
  }
}

template <>
void check_abs<bool>() {
  for (bool x : {true, false}) {
    VERIFY_IS_EQUAL(numext::abs(x), x);
    VERIFY(numext::abs(x) >= false);
    VERIFY_IS_EQUAL(numext::abs2(x), numext::abs2(numext::abs(x)));
  }
}

// numext::sign(z) = z / |z| for complex z. The interesting inputs are the ends of the range, where
// forming 1/|z| first would overflow (subnormal |z|) or itself be subnormal, hence inexact (|z| near max).
template <typename T>
void check_complex_sign() {
  typedef typename NumTraits<T>::Real Real;
  const Real zero(0), one(1);

  VERIFY_IS_EQUAL(numext::sign(T(zero, zero)), T(zero, zero));
  VERIFY_IS_EQUAL(numext::sign(T(one, zero)), T(one, zero));
  VERIFY_IS_EQUAL(numext::sign(T(zero, -one)), T(zero, -one));

  for (Real r : {std::numeric_limits<Real>::denorm_min(), (std::numeric_limits<Real>::min)(),
                 (std::numeric_limits<Real>::max)()}) {
    VERIFY_IS_EQUAL(numext::sign(T(r, zero)), T(one, zero));
    VERIFY_IS_EQUAL(numext::sign(T(-r, zero)), T(-one, zero));
    VERIFY_IS_EQUAL(numext::sign(T(zero, r)), T(zero, one));
  }

  // Off the axes the magnitude is only as accurate as abs() itself, which cannot resolve |z| for a z
  // whose components are at the bottom of the subnormal range; from the smallest normal upwards it can.
  for (Real r : {(std::numeric_limits<Real>::min)(), one, (std::numeric_limits<Real>::max)() / Real(2)}) {
    const T s = numext::sign(T(r, r));
    VERIFY_IS_APPROX(numext::abs(s), one);
    VERIFY_IS_EQUAL(numext::real(s), numext::imag(s));
  }
}

// numext::log(z) where |z| overflows or rounds to a subnormal although log|z| is finite.
template <typename T>
void check_complex_log() {
  using Complex = std::complex<T>;
  const T highest = (std::numeric_limits<T>::max)();
  const T denorm_min = std::numeric_limits<T>::denorm_min();
  const T half_ln2 = T(EIGEN_LN2) / T(2);
  const T tol = T(4) * NumTraits<T>::epsilon();

  for (const T r : {highest, denorm_min}) {
    const T ref = numext::log(r) + half_ln2;
    const Complex z = numext::log(Complex(r, -r));
    VERIFY(numext::abs(z.real() - ref) <= tol * numext::abs(ref));
    VERIFY_IS_APPROX(z.imag(), -T(EIGEN_PI) / T(4));
  }
  VERIFY_IS_EQUAL(numext::log(Complex(denorm_min, T(0))).real(), numext::log(denorm_min));
  VERIFY_IS_EQUAL(numext::log(Complex(T(0), T(0))).real(), -std::numeric_limits<T>::infinity());
  VERIFY_IS_EQUAL(numext::log(Complex(std::numeric_limits<T>::infinity(), highest)).real(),
                  std::numeric_limits<T>::infinity());
}

// The FMA implementation must retain the product's rounding error even when scalar madd is unfused.
template <typename T>
void check_twoprod_pair(const T& x, const T& y) {
  T hi, lo;
  internal::twoprod(x, y, hi, lo);
  VERIFY_IS_EQUAL(hi, x * y);
  // fma is exact by IEEE-754 contract, so this is the definition of the low word rather than an
  // independent approximation of it.
  EIGEN_USING_STD(fma);
  VERIFY_IS_EQUAL(lo, fma(x, y, -hi));
  VERIFY_IS_EQUAL(internal::twoprod_low(x, y, hi), fma(x, y, -hi));
}

template <typename T>
void check_twoprod() {
  // (1 + epsilon) * (1 - epsilon) = 1 - epsilon^2 exposes a lost low word in every IEEE type.
  const T epsilon = NumTraits<T>::epsilon();
  check_twoprod_pair(T(1) + epsilon, T(1) - epsilon);
  for (int k = 0; k < 100; ++k) {
    check_twoprod_pair(internal::random<T>(T(-1), T(1)), internal::random<T>(T(-1), T(1)));
  }
}

#ifdef EIGEN_VECTORIZE_FMA
// Custom scalars can return a lazy expression from unary minus.
struct TwoprodScalar {
  struct Negation {
    const TwoprodScalar& operand;
  };

  TwoprodScalar() = default;
  explicit TwoprodScalar(double v) : value(v) {}
  TwoprodScalar(const Negation& negation) : value(-negation.operand.value) {}

  Negation operator-() const { return {*this}; }
  TwoprodScalar operator*(const TwoprodScalar& other) const { return TwoprodScalar(value * other.value); }

  friend TwoprodScalar fma(const TwoprodScalar& x, const TwoprodScalar& y, const TwoprodScalar& z) {
    return TwoprodScalar(std::fma(x.value, y.value, z.value));
  }

  double value = 0;
};

void check_twoprod_negation_expression() {
  STATIC_CHECK(internal::is_scalar<TwoprodScalar>::value);
  STATIC_CHECK(internal::has_fma<TwoprodScalar>::value);
  STATIC_CHECK((!std::is_same<decltype(-std::declval<TwoprodScalar>()), TwoprodScalar>::value));
  const double epsilon = NumTraits<double>::epsilon();
  for (double sign : {-1.0, 1.0}) {
    const TwoprodScalar x(sign * (1 + epsilon)), y(1 - epsilon);
    TwoprodScalar hi, lo;
    internal::twoprod(x, y, hi, lo);
    VERIFY_IS_EQUAL(hi.value, sign);
    VERIFY_IS_EQUAL(lo.value, -sign * epsilon * epsilon);
    VERIFY_IS_EQUAL(internal::twoprod_low(x, y, hi).value, -sign * epsilon * epsilon);
  }
}
#endif

template <typename T>
void check_arg() {
  typedef typename NumTraits<T>::Real Real;
  for (int k = 0; k < 100; ++k) {
    T x = internal::random<T>();
    Real y = numext::arg(x);
    VERIFY_IS_APPROX(y, std::arg(x));
  }
}

template <typename T>
struct check_sqrt_impl {
  static void run() {
    for (int i = 0; i < 1000; ++i) {
      const T x = numext::abs(internal::random<T>());
      const T sqrtx = numext::sqrt(x);
      VERIFY_IS_APPROX(sqrtx * sqrtx, x);
    }

    // Corner cases.
    const T zero = T(0);
    const T one = T(1);
    const T inf = std::numeric_limits<T>::infinity();
    const T nan = std::numeric_limits<T>::quiet_NaN();
    VERIFY_IS_EQUAL(numext::sqrt(zero), zero);
    VERIFY_IS_EQUAL(numext::sqrt(inf), inf);
    VERIFY((numext::isnan)(numext::sqrt(nan)));
    VERIFY((numext::isnan)(numext::sqrt(-one)));
  }
};

template <typename T>
struct check_sqrt_impl<std::complex<T>> {
  static void run() {
    typedef std::complex<T> ComplexT;

    for (int i = 0; i < 1000; ++i) {
      const ComplexT x = internal::random<ComplexT>();
      const ComplexT sqrtx = numext::sqrt(x);
      VERIFY_IS_APPROX(sqrtx * sqrtx, x);
    }

    // Corner cases.
    const T zero = T(0);
    const T one = T(1);
    const T inf = std::numeric_limits<T>::infinity();
    const T nan = std::numeric_limits<T>::quiet_NaN();

    // Set of corner cases from https://en.cppreference.com/w/cpp/numeric/complex/sqrt
    const int kNumCorners = 20;
    const ComplexT corners[kNumCorners][2] = {
        {ComplexT(zero, zero), ComplexT(zero, zero)},  {ComplexT(-zero, zero), ComplexT(zero, zero)},
        {ComplexT(zero, -zero), ComplexT(zero, zero)}, {ComplexT(-zero, -zero), ComplexT(zero, zero)},
        {ComplexT(one, inf), ComplexT(inf, inf)},      {ComplexT(nan, inf), ComplexT(inf, inf)},
        {ComplexT(one, -inf), ComplexT(inf, -inf)},    {ComplexT(nan, -inf), ComplexT(inf, -inf)},
        {ComplexT(-inf, one), ComplexT(zero, inf)},    {ComplexT(inf, one), ComplexT(inf, zero)},
        {ComplexT(-inf, -one), ComplexT(zero, -inf)},  {ComplexT(inf, -one), ComplexT(inf, -zero)},
        {ComplexT(-inf, nan), ComplexT(nan, inf)},     {ComplexT(inf, nan), ComplexT(inf, nan)},
        {ComplexT(zero, nan), ComplexT(nan, nan)},     {ComplexT(one, nan), ComplexT(nan, nan)},
        {ComplexT(nan, zero), ComplexT(nan, nan)},     {ComplexT(nan, one), ComplexT(nan, nan)},
        {ComplexT(nan, -one), ComplexT(nan, nan)},     {ComplexT(nan, nan), ComplexT(nan, nan)},
    };

    for (int i = 0; i < kNumCorners; ++i) {
      const ComplexT& x = corners[i][0];
      const ComplexT sqrtx = corners[i][1];
      VERIFY_IS_EQUAL_OR_NANS(numext::sqrt(x), sqrtx);
    }
  }
};

template <typename T>
void check_sqrt() {
  check_sqrt_impl<T>::run();
}

template <typename T>
struct check_rsqrt_impl {
  static void run() {
    const T zero = T(0);
    const T one = T(1);
    const T inf = std::numeric_limits<T>::infinity();
    const T nan = std::numeric_limits<T>::quiet_NaN();

    for (int i = 0; i < 1000; ++i) {
      const T x = numext::abs(internal::random<T>());
      const T rsqrtx = numext::rsqrt(x);
      const T invx = one / x;
      VERIFY_IS_APPROX(rsqrtx * rsqrtx, invx);
    }

    // Corner cases.
    VERIFY_IS_EQUAL(numext::rsqrt(zero), inf);
    VERIFY_IS_EQUAL(numext::rsqrt(inf), zero);
    VERIFY((numext::isnan)(numext::rsqrt(nan)));
    VERIFY((numext::isnan)(numext::rsqrt(-one)));
  }
};

template <typename T>
struct check_rsqrt_impl<std::complex<T>> {
  static void run() {
    typedef std::complex<T> ComplexT;
    const T zero = T(0);
    const T one = T(1);
    const T inf = std::numeric_limits<T>::infinity();
    const T nan = std::numeric_limits<T>::quiet_NaN();

    for (int i = 0; i < 1000; ++i) {
      const ComplexT x = internal::random<ComplexT>();
      const ComplexT invx = ComplexT(one, zero) / x;
      const ComplexT rsqrtx = numext::rsqrt(x);
      VERIFY_IS_APPROX(rsqrtx * rsqrtx, invx);
    }

    // Explicit values: complex division in a 1/sqrt reference is compiler-specific and changes under fast-math.
    const int kNumCorners = 20;
    const ComplexT corners[kNumCorners][2] = {
        {ComplexT(zero, zero), ComplexT(inf, nan)},   {ComplexT(-zero, zero), ComplexT(inf, nan)},
        {ComplexT(zero, -zero), ComplexT(inf, nan)},  {ComplexT(-zero, -zero), ComplexT(inf, nan)},
        {ComplexT(one, inf), ComplexT(zero, -zero)},  {ComplexT(nan, inf), ComplexT(zero, -zero)},
        {ComplexT(one, -inf), ComplexT(zero, zero)},  {ComplexT(nan, -inf), ComplexT(zero, zero)},
        {ComplexT(-inf, one), ComplexT(zero, -zero)}, {ComplexT(inf, one), ComplexT(zero, -zero)},
        {ComplexT(-inf, -one), ComplexT(zero, zero)}, {ComplexT(inf, -one), ComplexT(zero, zero)},
        {ComplexT(-inf, nan), ComplexT(zero, -zero)}, {ComplexT(inf, nan), ComplexT(zero, -zero)},
        {ComplexT(zero, nan), ComplexT(nan, nan)},    {ComplexT(one, nan), ComplexT(nan, nan)},
        {ComplexT(nan, zero), ComplexT(nan, nan)},    {ComplexT(nan, one), ComplexT(nan, nan)},
        {ComplexT(nan, -one), ComplexT(nan, nan)},    {ComplexT(nan, nan), ComplexT(nan, nan)},
    };

    for (int i = 0; i < kNumCorners; ++i) {
      const ComplexT& x = corners[i][0];
      const ComplexT& rsqrtx = corners[i][1];
      VERIFY_IS_EQUAL_OR_NANS(numext::rsqrt(x), rsqrtx);
    }
  }
};

template <typename T>
void check_rsqrt() {
  check_rsqrt_impl<T>::run();
}

template <typename T>
struct check_signbit_impl {
  static void run() {
    T true_mask;
    std::memset(static_cast<void*>(&true_mask), 0xff, sizeof(T));
    T false_mask;
    std::memset(static_cast<void*>(&false_mask), 0x00, sizeof(T));

    std::vector<T> negative_values;
    std::vector<T> non_negative_values;

    if (NumTraits<T>::IsInteger) {
      negative_values = {static_cast<T>(-1), static_cast<T>(NumTraits<T>::lowest())};
      non_negative_values = {static_cast<T>(0), static_cast<T>(1), static_cast<T>(NumTraits<T>::highest())};
    } else {
      // does not have sign bit
      const T pos_zero = static_cast<T>(0.0);
      const T pos_one = static_cast<T>(1.0);
      const T pos_inf = std::numeric_limits<T>::infinity();
      const T pos_nan = std::numeric_limits<T>::quiet_NaN();
      // has sign bit
      const T neg_zero = numext::negate(pos_zero);
      const T neg_one = numext::negate(pos_one);
      const T neg_inf = numext::negate(pos_inf);
      const T neg_nan = numext::negate(pos_nan);

      negative_values = {neg_zero, neg_one, neg_inf, neg_nan};
      non_negative_values = {pos_zero, pos_one, pos_inf, pos_nan};
    }

    auto check_all = [](auto values, auto expected) {
      bool all_pass = true;
      for (T val : values) {
        const T numext_val = numext::signbit(val);
        bool not_same = internal::predux_any(internal::bitwise_helper<T>::bitwise_xor(expected, numext_val));
        all_pass = all_pass && !not_same;
        if (not_same) std::cout << "signbit(" << val << ") = " << numext_val << " != " << expected << std::endl;
      }
      return all_pass;
    };

    bool check_all_pass = check_all(non_negative_values, false_mask);
    check_all_pass = check_all_pass && check_all(negative_values, (NumTraits<T>::IsSigned ? true_mask : false_mask));
    VERIFY(check_all_pass);
  }
};
template <typename T>
void check_signbit() {
  check_signbit_impl<T>::run();
}

template <typename T>
void check_nextafter() {
  const T zero(0);
  const T one(1);
  const T two(2);
  // NumTraits::epsilon() is the ulp at 1. std::numeric_limits reports the far smaller representational gap for the
  // non-IEEE IBM double-double `long double`, which is not the step nextafter takes.
  const T eps = NumTraits<T>::epsilon();
  const T denorm_min = std::numeric_limits<T>::denorm_min();
  const T inf = std::numeric_limits<T>::infinity();
  const T nan = std::numeric_limits<T>::quiet_NaN();
  const T max = (std::numeric_limits<T>::max)();

  // from == to returns to.
  VERIFY(numext::equal_strict(numext::nextafter(one, one), one));
  // Stepping up from 1 and back down returns 1.
  VERIFY(numext::equal_strict(numext::nextafter(numext::nextafter(one, two), zero), one));
  // One-ulp steps around 1.
  VERIFY(numext::equal_strict(numext::nextafter(one, two), one + eps));
  VERIFY(numext::equal_strict(numext::nextafter(one + eps, zero), one));
  // The neighbors of ±0 are the smallest subnormals, with the sign of the direction.
  VERIFY(numext::equal_strict(numext::nextafter(zero, one), denorm_min));
  VERIFY(numext::equal_strict(numext::nextafter(zero, -one), -denorm_min));
  VERIFY(numext::equal_strict(numext::nextafter(-zero, one), denorm_min));
  VERIFY(numext::equal_strict(numext::copysign(one, numext::nextafter(zero, -one)), -one));
  // Stepping the smallest subnormals toward the other sign lands on the zero
  // of the starting sign (IEEE-754 nextUp/nextDown).
  VERIFY(numext::equal_strict(numext::nextafter(denorm_min, -one), zero));
  VERIFY(numext::equal_strict(numext::copysign(one, numext::nextafter(denorm_min, -one)), one));
  VERIFY(numext::equal_strict(numext::copysign(one, numext::nextafter(-denorm_min, one)), -one));
  // Infinities saturate and unsaturate by one step.
  VERIFY(numext::equal_strict(numext::nextafter(max, inf), inf));
  VERIFY(numext::equal_strict(numext::nextafter(inf, zero), max));
  // NaNs propagate.
  VERIFY((numext::isnan)(numext::nextafter(nan, one)));
  VERIFY((numext::isnan)(numext::nextafter(one, nan)));
}

template <typename T>
void check_strict_equal() {
  const T zero(0);
  const T one(1);
  const T two(2);
  const T half = one / two;

  VERIFY(numext::equal_strict(zero, zero));
  VERIFY(numext::equal_strict(one, one));
  VERIFY(numext::equal_strict(half, half));
  VERIFY(!numext::equal_strict(zero, one));
  VERIFY(!numext::equal_strict(one, two));

  VERIFY(numext::not_equal_strict(zero, one));
  VERIFY(numext::not_equal_strict(one, two));
  VERIFY(!numext::not_equal_strict(one, one));

  VERIFY(numext::is_exactly_zero(zero));
  VERIFY(!numext::is_exactly_zero(one));
  VERIFY(numext::is_exactly_zero_no_flush(zero));
  VERIFY(!numext::is_exactly_zero_no_flush(one));
  VERIFY(numext::is_exactly_one(one));
  VERIFY(!numext::is_exactly_one(zero));
}

void check_zero_no_flush_custom_scalar() {
  struct EqualityOnly {
    explicit EqualityOnly(int x) : value(x) {}
    ~EqualityOnly() {}  // Non-trivially-copyable: encoding-based classification must not be instantiated.
    bool operator==(const EqualityOnly& other) const { return value == other.value; }
    int value;
  };
  VERIFY(numext::is_exactly_zero_no_flush(EqualityOnly(0)));
  VERIFY(!numext::is_exactly_zero_no_flush(EqualityOnly(1)));
}

template <typename Scalar>
EIGEN_DONT_INLINE bool zero_no_flush_predicate(Scalar value) {
  return numext::is_exactly_zero_no_flush(value);
}

template <typename Scalar>
EIGEN_DONT_INLINE void check_zero_no_flush_values(const Scalar* values, int count) {
  for (int i = 0; i < count; ++i) {
    VERIFY_IS_EQUAL(numext::is_exactly_zero_no_flush(values[i]), i < 2);
    VERIFY_IS_EQUAL(zero_no_flush_predicate(values[i]), i < 2);
  }
}

template <typename Scalar>
void check_zero_no_flush() {
  using Binary = internal::binary_floating_point_traits<Scalar>;
  const Scalar largest_subnormal = numext::bit_cast<Scalar>(Binary::kFractionMask);
  const Scalar tiny = std::numeric_limits<Scalar>::denorm_min();
  const Scalar minimum = (std::numeric_limits<Scalar>::min)();
  const Scalar infinity = std::numeric_limits<Scalar>::infinity();
  const Scalar values[] = {Scalar(0),
                           -Scalar(0),
                           tiny,
                           -tiny,
                           largest_subnormal,
                           numext::bit_cast<Scalar>(Binary::kSignBit | Binary::kFractionMask),
                           minimum,
                           -minimum,
                           Scalar(1),
                           -Scalar(1),
                           infinity,
                           -infinity,
                           std::numeric_limits<Scalar>::quiet_NaN()};
  const int count = sizeof(values) / sizeof(values[0]);
  for (int mode = 0; mode < 4; ++mode) {
#if !defined(EIGEN_GPU_COMPILE_PHASE) && !defined(SYCL_DEVICE_ONLY) && EIGEN_ARCH_i386_OR_x86_64 && \
    defined(_MM_SET_DENORMALS_ZERO_MODE)
    ScopedFlushToZero restore;
    const unsigned mask = _MM_FLUSH_ZERO_MASK | _MM_DENORMALS_ZERO_MASK;
    const unsigned requested = ((mode & 1) ? _MM_FLUSH_ZERO_ON : 0) | ((mode & 2) ? _MM_DENORMALS_ZERO_ON : 0);
    _mm_setcsr((_mm_getcsr() & ~mask) | requested);
    VERIFY(restore.isSupported());
    VERIFY_IS_EQUAL(_mm_getcsr() & mask, requested);
    check_zero_no_flush_values(values, count);
    VERIFY_IS_EQUAL(_mm_getcsr() & mask, requested);
#else
    if (mode > 1) continue;
    if (mode == 1) {
      ScopedFlushToZero flush;
      if (flush.isSupported()) check_zero_no_flush_values(values, count);
    } else {
      check_zero_no_flush_values(values, count);
    }
#endif
  }
}

template <typename Scalar>
EIGEN_DONT_INLINE void check_binary_sign_no_flush_values() {
  using Binary = internal::binary_floating_point_traits<Scalar>;
  using Bits = typename Binary::Bits;
  const Bits sign = Binary::kSignBit;
  const Bits min_normal = Binary::kExponentUnit;
  const Bits infinity = Binary::kExponentMask;
  const Bits nan = infinity | (min_normal >> 1) | Bits(0x12345);
  const Bits one = Binary::bits(Scalar(1));
  const Bits input_bits[] = {Bits(0),
                             sign,
                             Bits(1),
                             sign | Bits(1),
                             min_normal - 1,
                             sign | (min_normal - 1),
                             min_normal,
                             sign | min_normal,
                             one,
                             sign | one,
                             infinity,
                             sign | infinity,
                             nan,
                             sign | nan};
  const Bits expected_bits[] = {Bits(0),    Bits(0), one,        sign | one, one,        sign | one, one,
                                sign | one, one,     sign | one, one,        sign | one, nan,        sign | nan};
  for (int i = 0; i < int(sizeof(input_bits) / sizeof(input_bits[0])); ++i) {
    const Scalar input = numext::bit_cast<Scalar>(input_bits[i]);
    VERIFY_IS_EQUAL(numext::bit_cast<Bits>(numext::sign(input)), expected_bits[i]);
  }
}

template <typename Scalar>
void check_binary_sign_no_flush() {
  check_binary_sign_no_flush_values<Scalar>();
  ScopedFlushToZero flush;
  if (!flush.isSupported()) return;
  check_binary_sign_no_flush_values<Scalar>();
#if !defined(EIGEN_GPU_COMPILE_PHASE) && !defined(SYCL_DEVICE_ONLY) && EIGEN_ARCH_i386_OR_x86_64 && \
    defined(_MM_SET_DENORMALS_ZERO_MODE)
  _MM_SET_DENORMALS_ZERO_MODE(_MM_DENORMALS_ZERO_ON);
  check_binary_sign_no_flush_values<Scalar>();
#endif
}

template <typename T>
void check_ceil_power_of_two() {
  const T zero(0);
  const T one(1);
  const T two(2);
  const T min = (std::numeric_limits<T>::min)();
  const T denormMin = std::numeric_limits<T>::denorm_min();
  const T inf = std::numeric_limits<T>::infinity();

  VERIFY_IS_EQUAL(numext::ceil_power_of_two(zero), zero);
  VERIFY_IS_EQUAL(numext::ceil_power_of_two(denormMin), min);
  VERIFY_IS_EQUAL(numext::ceil_power_of_two(min), min);
  VERIFY_IS_EQUAL(numext::ceil_power_of_two(T(0.75)), one);
  VERIFY_IS_EQUAL(numext::ceil_power_of_two(one), one);
  VERIFY_IS_EQUAL(numext::ceil_power_of_two(one + NumTraits<T>::epsilon()), two);
  VERIFY_IS_EQUAL(numext::ceil_power_of_two(T(3)), T(4));
  VERIFY_IS_EQUAL(numext::ceil_power_of_two((std::numeric_limits<T>::max)()), inf);
}

template <typename T>
void check_shift() {
  using SignedT = typename numext::get_integer_by_size<sizeof(T)>::signed_type;
  using UnsignedT = typename numext::get_integer_by_size<sizeof(T)>::unsigned_type;
  constexpr int kNumBits = CHAR_BIT * sizeof(T);
  for (int i = 0; i < 1000; ++i) {
    const T a = internal::random<T>();
    for (int s = 1; s < kNumBits; s++) {
      T a_bsll = numext::logical_shift_left(a, s);
      T a_bsll_ref = numext::bit_cast<T, UnsignedT>(numext::bit_cast<UnsignedT, T>(a) << s);
      VERIFY_IS_EQUAL(a_bsll, a_bsll_ref);
      T a_bsrl = numext::logical_shift_right(a, s);
      T a_bsrl_ref = numext::bit_cast<T, UnsignedT>(numext::bit_cast<UnsignedT, T>(a) >> s);
      VERIFY_IS_EQUAL(a_bsrl, a_bsrl_ref);
      T a_bsra = numext::arithmetic_shift_right(a, s);
      // An unsigned T has no sign bit to propagate, so the arithmetic shift must agree with the
      // logical one; this is what every backend's parithmetic_shift_right on unsigned packets does.
      T a_bsra_ref =
          NumTraits<T>::IsSigned ? numext::bit_cast<T, SignedT>(numext::bit_cast<SignedT, T>(a) >> s) : a_bsrl_ref;
      VERIFY_IS_EQUAL(a_bsra, a_bsra_ref);
    }
  }
}

EIGEN_DECLARE_TEST(numext) {
  for (int k = 0; k < g_repeat; ++k) {
    CALL_SUBTEST(check_copysign<half>());
    CALL_SUBTEST(check_copysign<bfloat16>());
    CALL_SUBTEST(check_copysign<float>());
    CALL_SUBTEST(check_copysign<double>());
    CALL_SUBTEST(check_copysign<long double>());
    CALL_SUBTEST(check_copysign<std::complex<float>>());
    CALL_SUBTEST(check_copysign<std::complex<double>>());

    CALL_SUBTEST(check_copysign<bool>());
    CALL_SUBTEST(check_copysign<int8_t>());
    CALL_SUBTEST(check_copysign<int16_t>());
    CALL_SUBTEST(check_copysign<int32_t>());
    CALL_SUBTEST(check_copysign<int64_t>());
    CALL_SUBTEST(check_copysign<uint8_t>());
    CALL_SUBTEST(check_copysign<uint16_t>());
    CALL_SUBTEST(check_copysign<uint32_t>());
    CALL_SUBTEST(check_copysign<uint64_t>());

    CALL_SUBTEST(check_negate<signed char>());
    CALL_SUBTEST(check_negate<unsigned char>());
    CALL_SUBTEST(check_negate<short>());
    CALL_SUBTEST(check_negate<unsigned short>());
    CALL_SUBTEST(check_negate<int>());
    CALL_SUBTEST(check_negate<unsigned int>());
    CALL_SUBTEST(check_negate<long>());
    CALL_SUBTEST(check_negate<unsigned long>());
    CALL_SUBTEST(check_negate<half>());
    CALL_SUBTEST(check_negate<bfloat16>());
    CALL_SUBTEST(check_negate<float>());
    CALL_SUBTEST(check_negate<double>());
    CALL_SUBTEST(check_negate<long double>());
    CALL_SUBTEST(check_negate<std::complex<float>>());
    CALL_SUBTEST(check_negate<std::complex<double>>());

    CALL_SUBTEST(check_complex_exp<float>());
    CALL_SUBTEST(check_complex_exp<double>());

    CALL_SUBTEST(check_complex_exp2<float>());
    CALL_SUBTEST(check_complex_exp2<double>());
    CALL_SUBTEST(check_complex_exp2<long double>());
    CALL_SUBTEST((check_complex_exp2_accuracy<float, double>()));
    if (std::numeric_limits<long double>::digits > std::numeric_limits<double>::digits) {
      CALL_SUBTEST((check_complex_exp2_accuracy<double, long double>()));
    }

    CALL_SUBTEST(check_abs<bool>());
    CALL_SUBTEST(check_abs<signed char>());
    CALL_SUBTEST(check_abs<unsigned char>());
    CALL_SUBTEST(check_abs<short>());
    CALL_SUBTEST(check_abs<unsigned short>());
    CALL_SUBTEST(check_abs<int>());
    CALL_SUBTEST(check_abs<unsigned int>());
    CALL_SUBTEST(check_abs<long>());
    CALL_SUBTEST(check_abs<unsigned long>());
    CALL_SUBTEST(check_abs<half>());
    CALL_SUBTEST(check_abs<bfloat16>());
    CALL_SUBTEST(check_abs<float>());
    CALL_SUBTEST(check_abs<double>());
    CALL_SUBTEST(check_abs<long double>());
    CALL_SUBTEST(check_abs<std::complex<float>>());
    CALL_SUBTEST(check_abs<std::complex<double>>());

    CALL_SUBTEST(check_complex_sign<std::complex<float>>());
    CALL_SUBTEST(check_complex_sign<std::complex<double>>());

    CALL_SUBTEST(check_complex_log<float>());
    CALL_SUBTEST(check_complex_log<double>());

    CALL_SUBTEST(check_twoprod<float>());
    CALL_SUBTEST(check_twoprod<double>());
    CALL_SUBTEST(check_twoprod<long double>());
    CALL_SUBTEST(check_twoprod<half>());
    CALL_SUBTEST(check_twoprod<bfloat16>());
    CALL_SUBTEST(check_twoprod_contraction<float>());
    CALL_SUBTEST(check_twoprod_contraction<double>());
#ifdef EIGEN_VECTORIZE_FMA
    CALL_SUBTEST(check_twoprod_negation_expression());
#endif

    CALL_SUBTEST(check_arg<std::complex<float>>());
    CALL_SUBTEST(check_arg<std::complex<double>>());

    CALL_SUBTEST(check_sqrt<float>());
    CALL_SUBTEST(check_sqrt<double>());
    CALL_SUBTEST(check_sqrt<std::complex<float>>());
    CALL_SUBTEST(check_sqrt<std::complex<double>>());

    CALL_SUBTEST(check_rsqrt<float>());
    CALL_SUBTEST(check_rsqrt<double>());
    CALL_SUBTEST(check_rsqrt<std::complex<float>>());
    CALL_SUBTEST(check_rsqrt<std::complex<double>>());

    CALL_SUBTEST(check_signbit<half>());
    CALL_SUBTEST(check_signbit<bfloat16>());
    CALL_SUBTEST(check_signbit<float>());
    CALL_SUBTEST(check_signbit<double>());

    CALL_SUBTEST(check_signbit<uint8_t>());
    CALL_SUBTEST(check_signbit<uint16_t>());
    CALL_SUBTEST(check_signbit<uint32_t>());
    CALL_SUBTEST(check_signbit<uint64_t>());

    CALL_SUBTEST(check_signbit<int8_t>());
    CALL_SUBTEST(check_signbit<int16_t>());
    CALL_SUBTEST(check_signbit<int32_t>());
    CALL_SUBTEST(check_signbit<int64_t>());

    CALL_SUBTEST(check_nextafter<half>());
    CALL_SUBTEST(check_nextafter<bfloat16>());
    CALL_SUBTEST(check_nextafter<float>());
    CALL_SUBTEST(check_nextafter<double>());
    CALL_SUBTEST(check_nextafter<long double>());

    CALL_SUBTEST(check_ceil_power_of_two<half>());
    CALL_SUBTEST(check_ceil_power_of_two<bfloat16>());
    CALL_SUBTEST(check_ceil_power_of_two<float>());
    CALL_SUBTEST(check_ceil_power_of_two<double>());
    CALL_SUBTEST(check_ceil_power_of_two<long double>());

    CALL_SUBTEST(check_strict_equal<half>());
    CALL_SUBTEST(check_strict_equal<bfloat16>());
    CALL_SUBTEST(check_strict_equal<float>());
    CALL_SUBTEST(check_strict_equal<double>());
    CALL_SUBTEST(check_strict_equal<long double>());
    CALL_SUBTEST(check_strict_equal<int>());
    CALL_SUBTEST(check_strict_equal<std::complex<double>>());
    CALL_SUBTEST(check_zero_no_flush<float>());
    CALL_SUBTEST(check_zero_no_flush<double>());
    CALL_SUBTEST(check_zero_no_flush_custom_scalar());
    CALL_SUBTEST(check_binary_sign_no_flush<float>());
    CALL_SUBTEST(check_binary_sign_no_flush<double>());

    CALL_SUBTEST(check_shift<int8_t>());
    CALL_SUBTEST(check_shift<int16_t>());
    CALL_SUBTEST(check_shift<int32_t>());
    CALL_SUBTEST(check_shift<int64_t>());

    CALL_SUBTEST(check_shift<uint8_t>());
    CALL_SUBTEST(check_shift<uint16_t>());
    CALL_SUBTEST(check_shift<uint32_t>());
    CALL_SUBTEST(check_shift<uint64_t>());
  }
}