2a8ebc4906
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
116 lines
3.8 KiB
C++
116 lines
3.8 KiB
C++
#include <mln/test/util.hpp>
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#include <mln/renderer/property_evaluator.hpp>
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#include <mln/renderer/property_evaluation_parameters.hpp>
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#include <mln/style/types.hpp>
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#include <mln/style/conversion/json.hpp>
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#include <mln/style/expression/dsl.hpp>
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#include <mln/style/property_expression.hpp>
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#include <mln/style/conversion/function.hpp>
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#include <mln/style/conversion/property_value.hpp>
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#include <mln/style/conversion_impl.hpp>
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#include <mln/test/stub_geometry_tile_feature.hpp>
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using namespace mln;
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using namespace style;
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using namespace style::expression;
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using namespace style::expression::dsl;
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using namespace std::string_literals;
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TEST(Padding, InterpolateExpression) {
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// Use DLS methods to create an expression
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{
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auto expr = PropertyExpression<Padding>(
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interpolate(linear(), zoom(), 0.0, literal(Padding(0.0)), 1.0, literal(Padding(8.0))));
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auto result = expr.evaluate(0.5f);
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EXPECT_EQ(Padding(4.0), result);
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}
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// Parse expression from JSON, verify that expansion from number/array is handled correctly.
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{
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auto json =
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R"(["interpolate", ["linear"], ["zoom"], 0, ["to-padding", 0], 1, ["to-padding", ["literal",[8, 16, -32]]]])";
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PropertyExpression<Padding> expr(createExpression(json));
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auto result = expr.evaluate(0.5f);
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EXPECT_EQ(Padding(4.0, 8, -16, 8), result);
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}
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}
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TEST(Padding, Function) {
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auto fromFunction = [](const char* json) {
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conversion::Error error;
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auto function = conversion::convertJSON<PropertyValue<Padding>>(
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json, error, /*allowDataExpressions*/ true, /*convertTokens*/ false);
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return function->asExpression();
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};
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auto evalInContext = [](const auto& expr, const PropertyMap& properties) {
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StubGeometryTileFeature feature{{}, FeatureType::Unknown, {}, properties};
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EvaluationContext context{0, &feature};
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auto a = expr.evaluate(context);
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return a;
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};
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// exponential
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{
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auto expr = fromFunction(R"({"type": "exponential", "stops": [[1, 2], [11, [2, 5, 2, 7]]]})");
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EXPECT_EQ(Padding(2, 2, 2, 2), expr.evaluate(0));
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EXPECT_EQ(Padding(2, 3.2, 2, 4), expr.evaluate(5));
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EXPECT_EQ(Padding(2, 5, 2, 7), expr.evaluate(11));
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}
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// interval
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{
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auto expr = fromFunction(R"({"type": "interval", "stops": [[1, 2], [11, 4]]})");
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EXPECT_EQ(Padding(2), expr.evaluate(0));
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EXPECT_EQ(Padding(2), expr.evaluate(10));
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EXPECT_EQ(Padding(4), expr.evaluate(11));
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}
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// categorical
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{
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auto expr = fromFunction(
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R"({"type": "categorical", "property": "foo", "stops": [[0, 2], [1, 4]], "default": 6})");
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EXPECT_EQ(Padding(2), evalInContext(expr, {{"foo", 0}}));
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EXPECT_EQ(Padding(4), evalInContext(expr, {{"foo", 1}}));
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EXPECT_EQ(Padding(6), evalInContext(expr, {{"foo", 2}}));
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EXPECT_EQ(Padding(6), evalInContext(expr, {{"bar", 0}}));
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}
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// identity
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{
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auto expr = fromFunction(R"({"type": "identity", "property": "foo", "default": [3, 7, 9, 11]})");
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EXPECT_EQ(Padding(2, 4, 6, 4), evalInContext(expr, {{"foo", std::vector<mln::Value>({2, 4, 6})}}));
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EXPECT_EQ(Padding(3), evalInContext(expr, {{"foo", 3}}));
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EXPECT_EQ(Padding(3, 7, 9, 11), evalInContext(expr, {{"bar", 3}}));
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}
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}
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TEST(Padding, OperatorBool) {
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Padding padding(0, 0, 0, 0);
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EXPECT_FALSE(padding);
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padding.left = 1;
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EXPECT_TRUE(padding);
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}
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TEST(Padding, OperatorEqual) {
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auto a = Padding({{3.5f, 9}});
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auto b = Padding(3.5, 9, 3.5, 9);
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EXPECT_TRUE(a == b);
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EXPECT_FALSE(a != b);
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a.left = 7;
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EXPECT_FALSE(a == b);
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EXPECT_TRUE(a != b);
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}
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TEST(Padding, OperatorMultiply) {
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auto padding = Padding(1, 2, 3, 4) * 2;
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EXPECT_EQ(Padding(2, 4, 6, 8), padding);
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padding = padding * 0.0;
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EXPECT_EQ(Padding(0), padding);
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}
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