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Fix and tidy coordinate_transform_test #671

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Fix and tidy coordinate_transform_test
harrism committed Sep 14, 2022

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This commit was created on GitHub.com and signed with GitHub’s verified signature.
commit ffc05857eb9b4f0adc4f634e611763192086eea5
3 changes: 3 additions & 0 deletions cpp/include/cuspatial/constants.hpp
Original file line number Diff line number Diff line change
@@ -27,9 +27,12 @@ namespace cuspatial {

constexpr double DEGREE_TO_RADIAN = M_PI / 180.0;
constexpr double RADIAN_TO_DEGREE = 180.0 / M_PI;
constexpr double CIRCLE_DEGREES = 360.0;

constexpr double EARTH_RADIUS_KM = 6371.0;
constexpr double EARTH_CIRCUMFERENCE_EQUATOR_KM = 40000.0;
constexpr double EARTH_CIRCUMFERENCE_KM_PER_DEGREE =
EARTH_CIRCUMFERENCE_EQUATOR_KM / CIRCLE_DEGREES;

} // namespace cuspatial

Original file line number Diff line number Diff line change
@@ -32,8 +32,6 @@ namespace cuspatial {

namespace detail {

constexpr double EARTH_CIRCUMFERENCE_KM_PER_DEGREE = EARTH_CIRCUMFERENCE_EQUATOR_KM / 360.0;

template <typename T>
__device__ inline T midpoint(T a, T b)
{
130 changes: 66 additions & 64 deletions cpp/tests/experimental/spatial/coordinate_transform_test.cu
Original file line number Diff line number Diff line change
@@ -14,6 +14,8 @@
* limitations under the License.
*/

#include "tests/utility/vector_equality.hpp"
#include <cuspatial/constants.hpp>
#include <cuspatial/error.hpp>
#include <cuspatial/experimental/coordinate_transform.cuh>

@@ -23,8 +25,62 @@

#include <thrust/iterator/transform_iterator.h>

template <typename T>
inline T midpoint(T a, T b)
{
return (a + b) / 2;
}

template <typename T>
inline T lon_to_x(T lon, T lat)
{
return lon * cuspatial::EARTH_CIRCUMFERENCE_KM_PER_DEGREE *
cos(lat * cuspatial::DEGREE_TO_RADIAN);
};

template <typename T>
inline T lat_to_y(T lat)
{
return lat * cuspatial::EARTH_CIRCUMFERENCE_KM_PER_DEGREE;
};

template <typename T>
struct to_cartesian_functor {
using vec_2d = cuspatial::vec_2d<T>;

to_cartesian_functor(vec_2d origin) : _origin(origin) {}

vec_2d operator()(vec_2d loc)
{
return vec_2d{lon_to_x(_origin.x - loc.x, midpoint(loc.y, _origin.y)),
lat_to_y(_origin.y - loc.y)};
}

private:
vec_2d _origin{};
};

template <typename T>
struct LonLatToCartesianTest : public ::testing::Test {
using Vec = cuspatial::vec_2d<T>;

void run_test(std::vector<Vec> const& h_lonlats, Vec const& origin)
{
auto h_expected = std::vector<Vec>(h_lonlats.size());

std::transform(
h_lonlats.begin(), h_lonlats.end(), h_expected.begin(), to_cartesian_functor(origin));

auto lonlats = rmm::device_vector<Vec>{h_lonlats};

auto xy_output = rmm::device_vector<Vec>(lonlats.size(), Vec{-1, -1});

auto xy_end =
cuspatial::lonlat_to_cartesian(lonlats.begin(), lonlats.end(), xy_output.begin(), origin);

cuspatial::test::expect_vector_equivalent(h_expected, xy_output);
EXPECT_EQ(h_expected.size(), std::distance(xy_output.begin(), xy_end));
}
};

// float and double are logically the same but would require seperate tests due to precision.
@@ -40,18 +96,7 @@ TYPED_TEST(LonLatToCartesianTest, Empty)
auto origin = Loc{-90.66511046, 42.49197018};

auto h_point_lonlat = std::vector<Loc>{};
auto h_expected = std::vector<Cart>{};

auto point_lonlat = rmm::device_vector<Loc>{};
auto expected = rmm::device_vector<Cart>{};

auto xy_output = rmm::device_vector<Cart>{};

auto xy_end = cuspatial::lonlat_to_cartesian(
point_lonlat.begin(), point_lonlat.end(), xy_output.begin(), origin);

EXPECT_EQ(expected, xy_output);
EXPECT_EQ(0, std::distance(xy_output.begin(), xy_end));
this->run_test(h_point_lonlat, origin);
}

TYPED_TEST(LonLatToCartesianTest, Single)
@@ -63,18 +108,7 @@ TYPED_TEST(LonLatToCartesianTest, Single)
auto origin = Loc{-90.66511046, 42.49197018};

auto h_point_lonlat = std::vector<Loc>({{-90.664973, 42.493894}});
auto h_expected = std::vector<Cart>({{-0.01126195531216838, -0.21375777777718794}});

auto point_lonlat = rmm::device_vector<Loc>{h_point_lonlat};
auto expected = rmm::device_vector<Cart>{h_expected};

auto xy_output = rmm::device_vector<Cart>(1);

auto xy_end = cuspatial::lonlat_to_cartesian(
point_lonlat.begin(), point_lonlat.end(), xy_output.begin(), origin);

EXPECT_EQ(expected, xy_output);
EXPECT_EQ(1, std::distance(xy_output.begin(), xy_end));
this->run_test(h_point_lonlat, origin);
}

TYPED_TEST(LonLatToCartesianTest, Extremes)
@@ -87,23 +121,7 @@ TYPED_TEST(LonLatToCartesianTest, Extremes)

auto h_points_lonlat = std::vector<Loc>(
{{0.0, -90.0}, {0.0, 90.0}, {-180.0, 0.0}, {180.0, 0.0}, {45.0, 0.0}, {-180.0, -90.0}});
auto h_expected = std::vector<Cart>({{0.0, 10000.0},
{0.0, -10000.0},
{20000.0, 0.0},
{-20000.0, 0.0},
{-5000.0, 0.0},
{14142.13562373095192015, 10000.0}});

auto points_lonlat = rmm::device_vector<Loc>{h_points_lonlat};
auto expected = rmm::device_vector<Cart>{h_expected};

auto xy_output = rmm::device_vector<Cart>(6, Cart{-1, -1});

auto xy_end = cuspatial::lonlat_to_cartesian(
points_lonlat.begin(), points_lonlat.end(), xy_output.begin(), origin);

EXPECT_EQ(expected, xy_output);
EXPECT_EQ(6, std::distance(xy_output.begin(), xy_end));
this->run_test(h_points_lonlat, origin);
}

TYPED_TEST(LonLatToCartesianTest, Multiple)
@@ -118,23 +136,7 @@ TYPED_TEST(LonLatToCartesianTest, Multiple)
{-90.665393, 42.491520},
{-90.664976, 42.491420},
{-90.664537, 42.493823}});
auto h_expected = std::vector<Cart>({
{-0.01126195531216838, -0.21375777777718794},
{0.02314864865181343, 0.05002000000015667},
{-0.01101638630252916, 0.06113111111163663},
{-0.04698301003584082, -0.20586888888847929},
});

auto points_lonlat = rmm::device_vector<Loc>{h_points_lonlat};
auto expected = rmm::device_vector<Cart>{h_expected};

auto xy_output = rmm::device_vector<Cart>(4, Cart{-1, -1});

auto xy_end = cuspatial::lonlat_to_cartesian(
points_lonlat.begin(), points_lonlat.end(), xy_output.begin(), origin);

EXPECT_EQ(expected, xy_output);
EXPECT_EQ(4, std::distance(xy_output.begin(), xy_end));
this->run_test(h_points_lonlat, origin);
}

TYPED_TEST(LonLatToCartesianTest, OriginOutOfBounds)
@@ -177,12 +179,12 @@ TYPED_TEST(LonLatToCartesianTest, TransformIterator)
{-90.665393, 42.491520},
{-90.664976, 42.491420},
{-90.664537, 42.493823}});
auto h_expected = std::vector<Cart>({
{-0.01126195531216838, -0.21375777777718794},
{0.02314864865181343, 0.05002000000015667},
{-0.01101638630252916, 0.06113111111163663},
{-0.04698301003584082, -0.20586888888847929},
});
auto h_expected = std::vector<Cart>(h_points_lonlat.size());

std::transform(h_points_lonlat.begin(),
h_points_lonlat.end(),
h_expected.begin(),
to_cartesian_functor(origin));

auto points_lonlat = rmm::device_vector<Loc>{h_points_lonlat};
auto expected = rmm::device_vector<Cart>{h_expected};