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[test] Improve testing logging and accuracy #1246

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4baba66
[test] Increase range of tested rounded values
serge-sans-paille Jan 18, 2026
c6e4981
[test] Improve testing logging and accuracy
serge-sans-paille Jan 13, 2026
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9 changes: 4 additions & 5 deletions test/test_arch.cpp
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Original file line number Diff line number Diff line change
Expand Up @@ -204,13 +204,12 @@ TEST_CASE("[multi arch support]")
{
// make sure load_aligned / load_unaligned work for the default arch and
// return the appropriate type.
using type_list = xsimd::mpl::type_list<short, int, long, float, std::complex<float>
try_loads<short, int, long, float, std::complex<float>
#if XSIMD_WITH_NEON64 || !XSIMD_WITH_NEON
,
double, std::complex<double>
,
double, std::complex<double>
#endif
>;
try_loads<type_list>();
>();
}
}

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40 changes: 20 additions & 20 deletions test/test_batch.cpp
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Original file line number Diff line number Diff line change
Expand Up @@ -920,35 +920,35 @@ struct batch_test
return batch_type::load_unaligned(rhs.data());
}

template <class T = value_type>
xsimd::enable_integral_t<T, void> init_operands()
void init_operands()
{
for (size_t i = 0; i < size; ++i)
XSIMD_IF_CONSTEXPR(std::is_integral<value_type>::value)
{
bool negative_lhs = std::is_signed<T>::value && (i % 2 == 1);
lhs[i] = value_type(i) * (negative_lhs ? -3 : 3);
if (lhs[i] == value_type(0))
for (size_t i = 0; i < size; ++i)
{
lhs[i] += value_type(1);
bool negative_lhs = std::is_signed<value_type>::value && (i % 2 == 1);
lhs[i] = value_type(i) * (negative_lhs ? -3 : 3);
if (lhs[i] == value_type(0))
{
lhs[i] += value_type(1);
}
rhs[i] = value_type(i) + value_type(2);
}
rhs[i] = value_type(i) + value_type(2);
scalar = value_type(3);
}
scalar = value_type(3);
}

template <class T = value_type>
xsimd::enable_floating_point_t<T, void> init_operands()
{
for (size_t i = 0; i < size; ++i)
else
{
lhs[i] = value_type(i) / 4 + value_type(1.2) * std::sqrt(value_type(i + 0.25));
if (lhs[i] == value_type(0))
for (size_t i = 0; i < size; ++i)
{
lhs[i] += value_type(0.1);
lhs[i] = value_type(i) / 4 + value_type(1.2) * std::sqrt(value_type(i + 0.25));
if (lhs[i] == value_type(0))
{
lhs[i] += value_type(0.1);
}
rhs[i] = value_type(10.2) / (i + 2) + value_type(0.25);
}
rhs[i] = value_type(10.2) / (i + 2) + value_type(0.25);
scalar = value_type(1.2);
}
scalar = value_type(1.2);
}
};

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58 changes: 24 additions & 34 deletions test/test_complex_exponential.cpp
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Original file line number Diff line number Diff line change
Expand Up @@ -29,7 +29,6 @@ struct complex_exponential_test
vector_type huge_exp_input;
vector_type log_input;
vector_type expected;
vector_type res;

complex_exponential_test()
{
Expand All @@ -46,23 +45,21 @@ struct complex_exponential_test
real_value_type(0.002 + i * 110 / nb_input));
}
expected.resize(nb_input);
res.resize(nb_input);
}

void test_exp()
{
std::transform(exp_input.cbegin(), exp_input.cend(), expected.begin(),
[](const value_type& v)
{ using std::exp; return exp(v); });
batch_type in, out;
for (size_t i = 0; i < nb_input; i += size)
{
batch_type in, out, ref;
detail::load_batch(in, exp_input, i);
out = exp(in);
detail::store_batch(out, res, i);
detail::load_batch(ref, expected, i);
CHECK_BATCH_EQ(ref, out);
}
size_t diff = detail::get_nb_diff(res, expected);
CHECK_EQ(diff, 0);
}

void test_expm1()
Expand All @@ -71,111 +68,104 @@ struct complex_exponential_test
[](const value_type& v)
{ using xsimd::expm1; return expm1(v); });

batch_type in, out;
for (size_t i = 0; i < nb_input; i += size)
{
batch_type in, out, ref;
detail::load_batch(in, exp_input, i);
out = expm1(in);
detail::store_batch(out, res, i);
detail::load_batch(ref, expected, i);
CHECK_BATCH_EQ(ref, out);
}
size_t diff = detail::get_nb_diff(res, expected);
CHECK_EQ(diff, 0);
}

void test_huge_exp()
{
std::transform(huge_exp_input.cbegin(), huge_exp_input.cend(), expected.begin(),
[](const value_type& v)
{ using std::exp; return exp(v); });
batch_type in, out;
for (size_t i = 0; i < nb_input; i += size)
{
batch_type in, out, ref;
detail::load_batch(in, huge_exp_input, i);
out = exp(in);
detail::store_batch(out, res, i);
detail::load_batch(ref, expected, i);
CHECK_BATCH_EQ(ref, out);
}
size_t diff = detail::get_nb_diff(res, expected);
CHECK_EQ(diff, 0);
}

void test_log()
{
std::transform(log_input.cbegin(), log_input.cend(), expected.begin(),
[](const value_type& v)
{ using std::log; return log(v); });
batch_type in, out;
for (size_t i = 0; i < nb_input; i += size)
{
batch_type in, out, ref;
detail::load_batch(in, log_input, i);
out = log(in);
detail::store_batch(out, res, i);
detail::load_batch(ref, expected, i);
CHECK_BATCH_EQ(ref, out);
}
size_t diff = detail::get_nb_diff(res, expected);
CHECK_EQ(diff, 0);
}

void test_log2()
{
std::transform(log_input.cbegin(), log_input.cend(), expected.begin(),
[](const value_type& v)
{ using xsimd::log2; return log2(v); });
batch_type in, out;
for (size_t i = 0; i < nb_input; i += size)
{
batch_type in, out, ref;
detail::load_batch(in, log_input, i);
out = log2(in);
detail::store_batch(out, res, i);
detail::load_batch(ref, expected, i);
CHECK_BATCH_EQ(ref, out);
}
size_t diff = detail::get_nb_diff(res, expected);
CHECK_EQ(diff, 0);
}

void test_log10()
{
std::transform(log_input.cbegin(), log_input.cend(), expected.begin(),
[](const value_type& v)
{ using std::log10; return log10(v); });
batch_type in, out;
for (size_t i = 0; i < nb_input; i += size)
{
batch_type in, out, ref;
detail::load_batch(in, log_input, i);
out = log10(in);
detail::store_batch(out, res, i);
detail::load_batch(ref, expected, i);
CHECK_BATCH_EQ(ref, out);
}
size_t diff = detail::get_nb_diff(res, expected);
CHECK_EQ(diff, 0);
}

void test_log1p()
{
std::transform(log_input.cbegin(), log_input.cend(), expected.begin(),
[](const value_type& v)
{ using xsimd::log1p; return log1p(v); });
batch_type in, out;
for (size_t i = 0; i < nb_input; i += size)
{
batch_type in, out, ref;
detail::load_batch(in, log_input, i);
out = log1p(in);
detail::store_batch(out, res, i);
detail::load_batch(ref, expected, i);
CHECK_BATCH_EQ(ref, out);
}
size_t diff = detail::get_nb_diff(res, expected);
CHECK_EQ(diff, 0);
}

void test_sign()
{
std::transform(log_input.cbegin(), log_input.cend(), expected.begin(),
[](const value_type& v)
{ using xsimd::sign; return sign(v); });
batch_type in, out;
for (size_t i = 0; i < nb_input; i += size)
{
batch_type in, out, ref;
detail::load_batch(in, log_input, i);
out = sign(in);
detail::store_batch(out, res, i);
detail::load_batch(ref, expected, i);
CHECK_BATCH_EQ(ref, out);
}
size_t diff = detail::get_nb_diff(res, expected);
CHECK_EQ(diff, 0);
}
};

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44 changes: 18 additions & 26 deletions test/test_complex_hyperbolic.cpp
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Original file line number Diff line number Diff line change
Expand Up @@ -29,7 +29,6 @@ struct complex_hyperbolic_test
vector_type acosh_input;
vector_type atanh_input;
vector_type expected;
vector_type res;

complex_hyperbolic_test()
{
Expand All @@ -47,103 +46,96 @@ struct complex_hyperbolic_test
real_value_type(-0.94) + i * real_value_type(1.8) / nb_input);
}
expected.resize(nb_input);
res.resize(nb_input);
}

void test_sinh()
{
std::transform(input.cbegin(), input.cend(), expected.begin(),
[](const value_type& v)
{ using std::sinh; return sinh(v); });
batch_type in, out;
for (size_t i = 0; i < nb_input; i += size)
{
batch_type in, out, ref;
detail::load_batch(in, input, i);
out = sinh(in);
detail::store_batch(out, res, i);
detail::load_batch(ref, expected, i);
CHECK_BATCH_EQ(ref, out);
}
size_t diff = detail::get_nb_diff(res, expected);
CHECK_EQ(diff, 0);
}

void test_cosh()
{
std::transform(input.cbegin(), input.cend(), expected.begin(),
[](const value_type& v)
{ using std::cosh; return cosh(v); });
batch_type in, out;
for (size_t i = 0; i < nb_input; i += size)
{
batch_type in, out, ref;
detail::load_batch(in, input, i);
out = cosh(in);
detail::store_batch(out, res, i);
detail::load_batch(ref, expected, i);
CHECK_BATCH_EQ(ref, out);
}
size_t diff = detail::get_nb_diff(res, expected);
CHECK_EQ(diff, 0);
}

void test_tanh()
{
std::transform(input.cbegin(), input.cend(), expected.begin(),
[](const value_type& v)
{ using std::tanh; return tanh(v); });
batch_type in, out;
for (size_t i = 0; i < nb_input; i += size)
{
batch_type in, out, ref;
detail::load_batch(in, input, i);
out = tanh(in);
detail::store_batch(out, res, i);
detail::load_batch(ref, expected, i);
CHECK_BATCH_EQ(ref, out);
}
size_t diff = detail::get_nb_diff(res, expected);
CHECK_EQ(diff, 0);
}

void test_asinh()
{
std::transform(input.cbegin(), input.cend(), expected.begin(),
[](const value_type& v)
{ using std::asinh; return asinh(v); });
batch_type in, out;
for (size_t i = 0; i < nb_input; i += size)
{
batch_type in, out, ref;
detail::load_batch(in, input, i);
out = asinh(in);
detail::store_batch(out, res, i);
detail::load_batch(ref, expected, i);
CHECK_BATCH_EQ(ref, out);
}
size_t diff = detail::get_nb_diff(res, expected);
CHECK_EQ(diff, 0);
}

void test_acosh()
{
std::transform(acosh_input.cbegin(), acosh_input.cend(), expected.begin(),
[](const value_type& v)
{ using std::acosh; return acosh(v); });
batch_type in, out;
for (size_t i = 0; i < nb_input; i += size)
{
batch_type in, out, ref;
detail::load_batch(in, acosh_input, i);
out = acosh(in);
detail::store_batch(out, res, i);
detail::load_batch(ref, expected, i);
CHECK_BATCH_EQ(ref, out);
}
size_t diff = detail::get_nb_diff(res, expected);
CHECK_EQ(diff, 0);
}

void test_atanh()
{
std::transform(atanh_input.cbegin(), atanh_input.cend(), expected.begin(),
[](const value_type& v)
{ using std::atanh; return atanh(v); });
batch_type in, out;
for (size_t i = 0; i < nb_input; i += size)
{
batch_type in, out, ref;
detail::load_batch(in, atanh_input, i);
out = atanh(in);
detail::store_batch(out, res, i);
detail::load_batch(ref, expected, i);
CHECK_BATCH_EQ(ref, out);
}
size_t diff = detail::get_nb_diff(res, expected);
CHECK_EQ(diff, 0);
}
};

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