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test_xoptional.cpp
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test_xoptional.cpp
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/***************************************************************************
* Copyright (c) Johan Mabille, Sylvain Corlay and Wolf Vollprecht *
* Copyright (c) QuantStack *
* *
* Distributed under the terms of the BSD 3-Clause License. *
* *
* The full license is in the file LICENSE, distributed with this software. *
****************************************************************************/
#include "test_common_macros.hpp"
#include <algorithm>
#include <sstream>
#include <string>
#include <vector>
#include "xtensor/xio.hpp"
#include "xtensor/xoptional.hpp"
namespace xt
{
TEST(xoptional, tensor)
{
xtensor_optional<double, 2> m
{{ 1.0 , 2.0 },
{ 3.0 , xtl::missing<double>() }};
ASSERT_EQ(m(0, 0).value(), 1.0);
ASSERT_EQ(m(1, 0).value(), 3.0);
ASSERT_FALSE(m(1, 1).has_value());
ASSERT_EQ((m[{0, 0}].value()), 1.0);
}
TEST(xoptional, adaptor)
{
using vtype = xtl::xoptional_vector<double>;
vtype v(4, 0.);
v[0] = 1.;
v[1] = 2.;
v[2] = 3.;
v[3] = xtl::missing<double>();
using tadaptor = xtensor_adaptor<vtype&, 2, layout_type::row_major, xoptional_expression_tag>;
tadaptor ta(v, {2, 2});
ASSERT_EQ(ta(0, 0).value(), 1.0);
ASSERT_EQ(ta(1, 0).value(), 3.0);
ASSERT_FALSE(ta(1, 1).has_value());
ASSERT_EQ((ta[{0, 0}].value()), 1.0);
using aadaptor = xarray_adaptor<vtype&, layout_type::row_major, dynamic_shape<std::size_t>, xoptional_expression_tag>;
aadaptor aa(v, {2, 2});
ASSERT_EQ(aa(0, 0).value(), 1.0);
ASSERT_EQ(aa(1, 0).value(), 3.0);
ASSERT_FALSE(aa(1, 1).has_value());
ASSERT_EQ((aa[{0, 0}].value()), 1.0);
}
TEST(xoptional, operation)
{
xtensor_optional<double, 2> m1
{{ 0.0 , 2.0 },
{ 3.0 , xtl::missing<double>() }};
xtensor<double, 2> m2
{{ 1.0 , 2.0 },
{ 3.0 , 1.0 }};
auto res_add = m1 + m2;
ASSERT_EQ(res_add(0, 0).value(), 1.0);
ASSERT_EQ(res_add(1, 0).value(), 6.0);
ASSERT_FALSE(res_add(1, 1).has_value());
ASSERT_EQ(res_add.value()(0, 0), 1.0);
ASSERT_TRUE(res_add.has_value()(0, 0));
ASSERT_FALSE(res_add.has_value()(1, 1));
auto res_mul = m1 * m2;
ASSERT_EQ(res_mul(0, 0).value(), 0.0);
ASSERT_EQ(res_mul(1, 0).value(), 9.0);
ASSERT_FALSE(res_mul(1, 1).has_value());
auto res_div = m1 / m2;
ASSERT_EQ(res_div(0, 0).value(), 0.0);
ASSERT_EQ(res_div(1, 0).value(), 1.0);
ASSERT_FALSE(res_div(1, 1).has_value());
xtensor_optional<double, 2> res = m1 + m2;
ASSERT_EQ(res(0, 0).value(), 1.0);
ASSERT_EQ(res(1, 0).value(), 6.0);
ASSERT_FALSE(res(1, 1).has_value());
xtensor_optional<double, 2> res_neg = -m1;
ASSERT_EQ(res_neg(0, 0).value(), 0.0);
ASSERT_EQ(res_neg(0, 1).value(), -2.0);
ASSERT_EQ(res_neg(1, 0).value(), -3.0);
ASSERT_FALSE(res_neg(1, 1).has_value());
}
TEST(xoptional, bool_operation)
{
xtensor_optional<bool, 2> m1
{{ false , true },
{ false , xtl::missing<bool>() }};
xtensor_optional<bool, 2> res = m1 && m1;
EXPECT_FALSE(res(0, 0).value());
EXPECT_TRUE(res(0, 1).value());
EXPECT_FALSE(res(1, 0).value());
EXPECT_EQ(res(1, 1), xtl::missing<bool>());
}
TEST(xoptional, xio)
{
std::ostringstream oss;
xtensor_optional<double, 2> m
{{ 0.0 , 2.0 },
{ 3.0 , xtl::missing<double>() }};
oss << m;
std::string expect = "{{ 0, 2},\n { 3, N/A}}";
ASSERT_EQ(oss.str(), expect);
}
TEST(xoptional, ufunc)
{
xtensor_optional<double, 2> m
{{ 0.0 , 2.0 },
{ 3.0 , xtl::missing<double>() }};
auto flag_view = xt::has_value(m);
xtensor<bool, 2> res = flag_view;
ASSERT_TRUE(res(0, 0));
ASSERT_TRUE(res(0, 1));
ASSERT_TRUE(res(1, 0));
ASSERT_FALSE(res(1, 1));
auto value_view = xt::value(m);
xtensor<double, 2> resv = value_view;
flag_view(1, 1) = true;
ASSERT_TRUE(m(1, 1).has_value());
value_view(1, 1) = 4.0;
ASSERT_EQ(m(1, 1).value(), 4.0);
}
TEST(xoptional, ufunc_nonoptional)
{
xtensor<double, 2> m
{{ 0.0 , 2.0 },
{ 3.0 , 1.0 }};
auto flag_view = has_value(m);
xtensor<bool, 2> res = flag_view;
ASSERT_TRUE(res(0, 0));
ASSERT_TRUE(res(0, 1));
ASSERT_TRUE(res(1, 0));
ASSERT_TRUE(res(1, 1));
}
TEST(xoptional, dynamic_view)
{
xarray_optional<int> a = {{{0, 1, 2, 3},
{4, 5, 6, 7},
{8, 9, 10, 11}},
{{12, 13, 14, 15},
{16, 17, 18, 19},
{20, 21, 22, 23}}};
a(1, 0, 1).has_value() = false;
a(1, 2, 3).has_value() = false;
auto view0 = dynamic_view(a, xdynamic_slice_vector({ 1, keep(0, 2), range(1, 4) }));
auto v_view = view0.value();
auto hv_view = view0.has_value();
EXPECT_EQ(v_view.shape()[0], std::size_t(2));
EXPECT_EQ(v_view.shape()[1], std::size_t(3));
EXPECT_EQ(hv_view.shape()[0], std::size_t(2));
EXPECT_EQ(hv_view.shape()[1], std::size_t(3));
EXPECT_EQ(v_view(0, 0), 13);
EXPECT_EQ(v_view(0, 1), 14);
EXPECT_EQ(v_view(0, 2), 15);
EXPECT_EQ(v_view(1, 0), 21);
EXPECT_EQ(v_view(1, 1), 22);
EXPECT_EQ(v_view(1, 2), 23);
EXPECT_FALSE(hv_view(0, 0));
EXPECT_TRUE(hv_view(0, 1));
EXPECT_TRUE(hv_view(0, 2));
EXPECT_TRUE(hv_view(1, 0));
EXPECT_TRUE(hv_view(1, 1));
EXPECT_FALSE(hv_view(1, 2));
}
TEST(xoptional, function_on_view)
{
xarray_optional<int> a = {{{0, 1, 2, 3},
{4, 5, 6, 7},
{8, 9, 10, 11}},
{{12, 13, 14, 15},
{16, 17, 18, 19},
{20, 21, 22, 23}}};
a(1, 0, 1).has_value() = false;
a(1, 2, 3).has_value() = false;
auto va = dynamic_view(a, xdynamic_slice_vector({ 1, keep(0, 2), range(1, 4) }));
xarray_optional<int> b = {{0, 1, 2},
{3, 4, 5}};
auto f = va + b;
auto vf = f.value();
auto hvf = f.has_value();
EXPECT_EQ(vf(0,0), 13);
EXPECT_EQ(vf(0,1), 15);
EXPECT_EQ(vf(0,2), 17);
EXPECT_EQ(vf(1,0), 24);
EXPECT_EQ(vf(1,1), 26);
EXPECT_EQ(vf(1,2), 28);
EXPECT_FALSE(hvf(0,0));
EXPECT_TRUE(hvf(0,1));
EXPECT_TRUE(hvf(0,2));
EXPECT_TRUE(hvf(1,0));
EXPECT_TRUE(hvf(1,1));
EXPECT_FALSE(hvf(1,2));
xarray_optional<int> res = f;
for(size_t i = 0; i < f.shape()[0]; ++i)
{
for(size_t j = 0; j < f.shape()[1]; ++j)
{
EXPECT_EQ(f(i, j), res(i, j));
}
}
}
TEST(xoptional, broadcast)
{
xarray_optional<int> a = {{1, 2, 3},
{4, 5, 6}};
a(0, 1).has_value() = false;
a(1, 2).has_value() = false;
auto br = xt::broadcast(a, {2, 2, 3});
auto vbr = br.value();
auto hvbr = br.has_value();
for(size_t i = 0; i < br.shape()[0]; ++i)
{
for(size_t j = 0; j < br.shape()[1]; ++j)
{
for(size_t k = 0; k < br.shape()[2]; ++k)
{
EXPECT_EQ(vbr(i, j, k), a(0, j, k).value());
EXPECT_EQ(hvbr(i, j, k), a(0, j, k).has_value());
}
}
}
}
class point
{
public:
point() = default;
point(int x, int y)
: m_x(x), m_y(y)
{
}
int& x() noexcept { return m_x; }
int& y() noexcept { return m_y; }
const int& x() const noexcept { return m_x; }
const int& y() const noexcept { return m_y; }
private:
int m_x;
int m_y;
};
struct abs_func
{
using value_type = int;
using reference = int&;
using const_reference = const int&;
using pointer = int*;
using const_pointer = const int*;
reference operator()(point& p) const noexcept { return p.x(); }
const_reference operator()(const point& p) const noexcept { return p.x(); }
// Compilation trick: a functor view on xarray_optional<point> expects the functor
// to provide operator() accepting reference and const_reference from xarray_optional<point>
// Since we never use these overloads, no need to declare the right one, nor to provide
// any implementation.
template <class T> T&& operator()(T&&) const noexcept;
};
TEST(xoptional, functor_view)
{
xarray_optional<point> a = {{point(0, 0), point(0, 1)},
{point(1, 0), point(1, 1)}};
a(0, 0).has_value() = false;
a(1, 0).has_value() = false;
xfunctor_view<abs_func, xarray_optional<point>&> fv(abs_func(), a);
auto vfv = fv.value();
auto hvfv = fv.has_value();
EXPECT_EQ(vfv(0, 0), a(0, 0).value().x());
EXPECT_EQ(vfv(0, 1), a(0, 1).value().x());
EXPECT_EQ(vfv(1, 0), a(1, 0).value().x());
EXPECT_EQ(vfv(1, 1), a(1, 1).value().x());
EXPECT_FALSE(hvfv(0, 0));
EXPECT_TRUE(hvfv(0, 1));
EXPECT_FALSE(hvfv(1, 0));
EXPECT_TRUE(hvfv(1, 1));
vfv(0, 0) = 4;
hvfv(0, 0) = true;
EXPECT_EQ(a(0, 0).value().x(), 4);
EXPECT_TRUE(a(0, 0).has_value());
}
TEST(xoptional, index_view)
{
xarray_optional<int> a = {{1, 2, 3},
{4, 5, 6}};
a(0, 0).has_value() = false;
a(1, 2).has_value() = false;
auto iv = index_view(a, {{0ul,0ul}, {0ul,2ul}, {1ul,1ul}, {1ul,2ul}});
auto viv = iv.value();
auto hviv = iv.has_value();
EXPECT_EQ(viv(0), a(0, 0).value());
EXPECT_EQ(viv(1), a(0, 2).value());
EXPECT_EQ(viv(2), a(1, 1).value());
EXPECT_EQ(viv(3), a(1, 2).value());
EXPECT_FALSE(hviv(0));
EXPECT_TRUE(hviv(1));
EXPECT_TRUE(hviv(2));
EXPECT_FALSE(hviv(3));
}
TEST(xoptional, reducer)
{
xarray_optional<int> a = {{1, 2, 3},
{4, 5, 6}};
a(1, 2).has_value() = false;
auto red = sum(a, {1});
auto vred = red.value();
auto hvred = red.has_value();
EXPECT_EQ(vred(0), 6);
EXPECT_EQ(vred(1), 15);
EXPECT_TRUE(hvred(0));
EXPECT_FALSE(hvred(1));
}
TEST(xoptional, strided_view)
{
xarray_optional<int> a = {{{0, 1, 2, 3},
{4, 5, 6, 7},
{8, 9, 10, 11}},
{{12, 13, 14, 15},
{16, 17, 18, 19},
{20, 21, 22, 23}}};
a(1, 0, 1).has_value() = false;
a(1, 2, 3).has_value() = false;
auto view0 = strided_view(a, {1, range(0, 2), range(1, 4)});
auto v_view = view0.value();
auto hv_view = view0.has_value();
EXPECT_EQ(v_view.shape()[0], std::size_t(2));
EXPECT_EQ(v_view.shape()[1], std::size_t(3));
EXPECT_EQ(hv_view.shape()[0], std::size_t(2));
EXPECT_EQ(hv_view.shape()[1], std::size_t(3));
for(size_t i = 0; i < v_view.shape()[0]; ++i)
{
for(size_t j = 0; j < v_view.shape()[1]; ++j)
{
EXPECT_EQ(v_view(i, j), a(1, i, j+1).value());
EXPECT_EQ(hv_view(i, j), a(1, i, j+1).has_value());
}
}
}
TEST(xoptional, view)
{
xarray_optional<int> a = {{{0, 1, 2, 3},
{4, 5, 6, 7},
{8, 9, 10, 11}},
{{12, 13, 14, 15},
{16, 17, 18, 19},
{20, 21, 22, 23}}};
a(1, 0, 1).has_value() = false;
a(1, 2, 3).has_value() = false;
auto view0 = view(a, 1, range(0, 2), range(1, 4));
auto v_view = view0.value();
auto hv_view = view0.has_value();
EXPECT_EQ(v_view.shape()[0], std::size_t(2));
EXPECT_EQ(v_view.shape()[1], std::size_t(3));
EXPECT_EQ(hv_view.shape()[0], std::size_t(2));
EXPECT_EQ(hv_view.shape()[1], std::size_t(3));
for(size_t i = 0; i < v_view.shape()[0]; ++i)
{
for(size_t j = 0; j < v_view.shape()[1]; ++j)
{
EXPECT_EQ(v_view(i, j), a(1, i, j+1).value());
EXPECT_EQ(hv_view(i, j), a(1, i, j+1).has_value());
}
}
}
struct float_identity
{
template <class T>
int operator()(T t) const
{
return static_cast<int>(t);
}
};
struct bool_even
{
template <class T>
bool operator()(T t) const
{
return t%2 == 0;
}
};
struct opt_func_tester
{
using value_functor_type = float_identity;
using flag_functor_type = bool_even;
value_functor_type value_functor() const
{
return m_value_functor;
}
flag_functor_type flag_functor() const
{
return m_flag_functor;
}
template <class T>
xtl::xoptional<int, bool> operator()(T t) const
{
return xtl::xoptional<int, bool>(m_value_functor(t),
m_flag_functor(t));
}
value_functor_type m_value_functor;
flag_functor_type m_flag_functor;
};
TEST(xoptional, cast)
{
xarray_optional<double> a = {{1.2, 2.3, 3.4},
{4.5, 5.6, 6.7}};
a(1, 2).has_value() = false;
auto b = cast<xtl::xoptional<int>>(a);
EXPECT_TRUE(b(0,2).has_value());
EXPECT_EQ(b(0,2), 3);
EXPECT_FALSE(b(1,2).has_value());
}
TEST(xoptional, generator)
{
using gen_type = xgenerator<opt_func_tester, xtl::xoptional<int, bool>, dynamic_shape<std::size_t>>;
gen_type g(opt_func_tester(), {4});
auto vg = g.value();
auto hvg = g.has_value();
EXPECT_EQ(vg(0), 0);
EXPECT_EQ(vg(1), 1);
EXPECT_EQ(vg(2), 2);
EXPECT_EQ(vg(3), 3);
EXPECT_TRUE(hvg(0));
EXPECT_FALSE(hvg(1));
EXPECT_TRUE(hvg(2));
EXPECT_FALSE(hvg(3));
}
#define UNARY_OPTIONAL_TEST_IMPL(FUNC) \
xtensor_optional<double, 2> m1{{0.25, 1}, {0.75, xtl::missing<double>()}}; \
xtensor<double, 2> m2{{0.25, 1}, {0.75, 1}}; \
ASSERT_TRUE(FUNC(m1)(0, 1).has_value()); \
ASSERT_EQ(FUNC(m2)(0, 1), FUNC(m1)(0, 1).value()); \
ASSERT_FALSE(FUNC(m1)(1, 1).has_value());
#define UNARY_OPTIONAL_TEST(FUNC) \
TEST(xoptional, FUNC) \
{ \
UNARY_OPTIONAL_TEST_IMPL(FUNC) \
}
#define UNARY_OPTIONAL_TEST_QUALIFIED(FUNC) \
TEST(xoptional, FUNC) \
{ \
UNARY_OPTIONAL_TEST_IMPL(xt::FUNC) \
}
#define BINARY_OPTIONAL_TEST(FUNC) \
TEST(xoptional, FUNC) \
{ \
xtensor_optional<double, 2> m1{{0.25, 0.5}, {0.75, xtl::missing<double>()}}; \
xtensor_optional<double, 2> m2{{0.25, xtl::missing<double>()}, {0.75, 1.}}; \
xtensor<double, 2> m3{{0.25, 0.5}, {0.75, 1.}}; \
ASSERT_TRUE(FUNC(m1, m3)(0, 1).has_value()); \
ASSERT_EQ(FUNC(m3, m3)(0, 1), FUNC(m1, m3)(0, 1).value()); \
ASSERT_FALSE(FUNC(m1, m3)(1, 1).has_value()); \
ASSERT_TRUE(FUNC(m3, m1)(0, 1).has_value()); \
ASSERT_EQ(FUNC(m3, m3)(0, 1), FUNC(m3, m1)(0, 1).value()); \
ASSERT_FALSE(FUNC(m3, m1)(1, 1).has_value()); \
ASSERT_TRUE(FUNC(m1, m2)(1, 0).has_value()); \
ASSERT_EQ(FUNC(m3, m3)(1, 0), FUNC(m1, m2)(1, 0).value()); \
ASSERT_FALSE(FUNC(m1, m2)(0, 1).has_value()); \
ASSERT_FALSE(FUNC(m1, m2)(1, 1).has_value()); \
}
#define TERNARY_OPTIONAL_TEST_IMPL(FUNC) \
xtensor_optional<double, 2> m1{{0.25, 0.5}, {0.75, xtl::missing<double>()}}; \
xtensor<double, 2> m4{{0.25, 0.5}, {0.75, 1.}}; \
ASSERT_EQ(FUNC(m4, m4, m4)(0, 0), FUNC(m1, m4, m4)(0, 0).value()); \
ASSERT_FALSE(FUNC(m1, m4, m4)(1, 1).has_value()); \
ASSERT_EQ(FUNC(m4, m4, m4)(0, 0), FUNC(m4, m1, m4)(0, 0).value()); \
ASSERT_FALSE(FUNC(m4, m1, m4)(1, 1).has_value()); \
ASSERT_EQ(FUNC(m4, m4, m4)(0, 0), FUNC(m4, m4, m1)(0, 0).value()); \
ASSERT_FALSE(FUNC(m4, m4, m1)(1, 1).has_value()); \
ASSERT_EQ(FUNC(m4, m4, m4)(0, 0), FUNC(m1, m1, m4)(0, 0).value()); \
ASSERT_FALSE(FUNC(m1, m1, m4)(1, 1).has_value()); \
ASSERT_EQ(FUNC(m4, m4, m4)(0, 0), FUNC(m1, m4, m1)(0, 0).value()); \
ASSERT_FALSE(FUNC(m1, m4, m1)(1, 1).has_value()); \
ASSERT_EQ(FUNC(m4, m4, m4)(0, 0), FUNC(m4, m1, m1)(0, 0).value()); \
ASSERT_FALSE(FUNC(m4, m1, m1)(1, 1).has_value()); \
ASSERT_EQ(FUNC(m4, m4, m4)(0, 0), FUNC(m1, m1, m1)(0, 0).value()); \
ASSERT_FALSE(FUNC(m1, m1, m1)(1, 1).has_value());
#define TERNARY_OPTIONAL_TEST(FUNC) \
TEST(xoptional, FUNC) \
{ \
TERNARY_OPTIONAL_TEST_IMPL(xt::FUNC) \
}
UNARY_OPTIONAL_TEST(abs)
UNARY_OPTIONAL_TEST(fabs)
BINARY_OPTIONAL_TEST(fmod)
BINARY_OPTIONAL_TEST(remainder)
TERNARY_OPTIONAL_TEST(fma)
BINARY_OPTIONAL_TEST(fmax)
BINARY_OPTIONAL_TEST(fmin)
BINARY_OPTIONAL_TEST(fdim)
UNARY_OPTIONAL_TEST(sign)
UNARY_OPTIONAL_TEST(exp)
UNARY_OPTIONAL_TEST(exp2)
UNARY_OPTIONAL_TEST(expm1)
UNARY_OPTIONAL_TEST(log)
UNARY_OPTIONAL_TEST(log10)
UNARY_OPTIONAL_TEST(log2)
UNARY_OPTIONAL_TEST(log1p)
BINARY_OPTIONAL_TEST(pow)
UNARY_OPTIONAL_TEST(sqrt)
UNARY_OPTIONAL_TEST(cbrt)
BINARY_OPTIONAL_TEST(hypot)
UNARY_OPTIONAL_TEST(sin)
UNARY_OPTIONAL_TEST(cos)
UNARY_OPTIONAL_TEST(tan)
UNARY_OPTIONAL_TEST(acos)
UNARY_OPTIONAL_TEST(asin)
UNARY_OPTIONAL_TEST(atan)
BINARY_OPTIONAL_TEST(atan2)
UNARY_OPTIONAL_TEST(sinh)
UNARY_OPTIONAL_TEST(cosh)
UNARY_OPTIONAL_TEST(tanh)
UNARY_OPTIONAL_TEST(acosh)
UNARY_OPTIONAL_TEST(asinh)
UNARY_OPTIONAL_TEST(atanh)
UNARY_OPTIONAL_TEST(erf)
UNARY_OPTIONAL_TEST(erfc)
UNARY_OPTIONAL_TEST(tgamma)
UNARY_OPTIONAL_TEST(lgamma)
UNARY_OPTIONAL_TEST_QUALIFIED(isfinite)
UNARY_OPTIONAL_TEST_QUALIFIED(isinf)
UNARY_OPTIONAL_TEST_QUALIFIED(isnan)
#undef TERNARY_OPTIONAL_TEST
#undef TERNARY_OPTIONAL_TEST_IMPL
#undef BINARY_OPTIONAL_TEST
#undef UNARY_OPTIONAL_TEST_QUALIFIED
#undef UNARY_OPTIONAL_TEST
#undef UNARY_OPTIONAL_TEST_IMPL
}