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/*
* (C) Copyright 1996- ECMWF.
*
* This software is licensed under the terms of the Apache Licence Version 2.0
* which can be obtained at http://www.apache.org/licenses/LICENSE-2.0.
*
* In applying this licence, ECMWF does not waive the privileges and immunities
* granted to it by virtue of its status as an intergovernmental organisation nor
* does it submit to any jurisdiction.
*/
#include <memory>
#include <numeric>
#include <sstream>
#include <vector>
#include "eckit/filesystem/PathName.h"
#include "eckit/system/Library.h"
#include "eckit/testing/Test.h"
#include "mir/api/MIRJob.h"
#include "mir/api/mir_config.h"
#include "mir/data/MIRField.h"
#include "mir/input/RawInput.h"
#include "mir/method/WeightMatrix.h"
#include "mir/output/RawOutput.h"
#include "mir/output/ResizableOutput.h"
#include "mir/param/SimpleParametrisation.h"
#include "mir/util/Log.h"
namespace mir::tests::unit {
CASE("RawInput") {
auto& log = Log::info();
SECTION("grid=1/1") {
// metadata
param::SimpleParametrisation meta;
meta.set("gridded", true);
meta.set("gridType", "regular_ll");
meta.set("north", 10.);
meta.set("west", 0.);
meta.set("south", 0.);
meta.set("east", 10.);
meta.set("south_north_increment", 5.);
meta.set("west_east_increment", 5.);
meta.set("Ni", 3);
meta.set("Nj", 3);
// data
std::vector<double> values(9, 0.);
std::unique_ptr<input::MIRInput> input(new input::RawInput(values.data(), values.size(), meta));
// access a field (in the post-processing context)
log << *input << std::endl;
auto field = input->field();
log << field << std::endl;
}
SECTION("grid=o4") {
// metadata
param::SimpleParametrisation meta;
meta.set("gridded", true);
meta.set("gridType", "reduced_gg");
meta.set("north", 90.);
meta.set("west", 0.);
meta.set("south", -90.);
meta.set("east", 360.);
meta.set("N", 4);
meta.set("pl", std::vector<long>{20, 24, 28, 32, 32, 28, 24, 20});
// data
std::vector<double> values(208 /*sum(pl)*/, 0.);
std::unique_ptr<input::MIRInput> input(new input::RawInput(values.data(), values.size(), meta));
// access a field (in the post-processing context)
log << *input << std::endl;
auto field = input->field();
log << field << std::endl;
}
SECTION("sh truncation=21") {
// metadata
param::SimpleParametrisation meta;
meta.set("spectral", true);
meta.set("gridType", "sh");
meta.set("truncation", 21);
// data
std::vector<double> values(506, 0.);
std::unique_ptr<input::MIRInput> input(new input::RawInput(values.data(), values.size(), meta));
// access a field (in the post-processing context)
log << *input << std::endl;
auto field = input->field();
log << field << std::endl;
}
#if mir_HAVE_GEO_GRID_ORCA
SECTION("grid=ORCA2_T") {
// metadata
param::SimpleParametrisation meta;
meta.set("gridded", true);
meta.set("gridType", "orca");
meta.set("uid", "d5bde4f52ff3a9bea5629cd9ac514410");
// data
std::vector<double> values(27118, 0.); // 182 * 149
std::unique_ptr<input::MIRInput> input(new input::RawInput(values.data(), values.size(), meta));
// access a field (in the post-processing context)
log << *input << std::endl;
auto field = input->field();
log << field << std::endl;
}
#endif
}
CASE("Example 1") {
auto& log = Log::info();
// input, with a values vector representing:
// - North Pole
// - 20 x 0.
// - 24 x 0.
// - 28 x 0.
// - 32 x 42.
// - Equator
// - 32 x -42.
// - 28 x 0.
// - 24 x 0.
// - 20 x 0.
// - South Pole
param::SimpleParametrisation meta1;
meta1.set("gridded", true);
meta1.set("gridType", "reduced_gg");
meta1.set("north", 90.);
meta1.set("west", 0.);
meta1.set("south", -90.);
meta1.set("east", 360.);
meta1.set("N", 4);
meta1.set("pl", std::vector<long>{20, 24, 28, 32, 32, 28, 24, 20});
std::vector<double> values1(208 /*sum(pl)*/, 0.);
std::fill_n(values1.begin() + 20 + 24 + 28, 32, 42.);
std::fill_n(values1.begin() + 20 + 24 + 28 + 32, 32, -42.);
std::unique_ptr<input::MIRInput> input(new input::RawInput(values1.data(), values1.size(), meta1));
// job
api::MIRJob job;
job.set("grid", std::vector<double>{2., 2.});
job.set("area", std::vector<double>{1., -1., -1., 1.});
job.set("interpolation", "nn");
job.set("caching", false);
log << job << std::endl;
SECTION("process with output of static size") {
// output
param::SimpleParametrisation meta2;
std::vector<double> values2(4, 0);
std::unique_ptr<output::MIROutput> output(new output::RawOutput(values2.data(), values2.size(), meta2));
// process
job.execute(*input, *output);
EXPECT_EQUAL(values2[0], 42.);
EXPECT_EQUAL(values2[1], 42.);
EXPECT_EQUAL(values2[2], -42.);
EXPECT_EQUAL(values2[3], -42.);
log << "output metadata: " << meta2 << std::endl;
std::ostringstream ss;
ss << meta2;
EXPECT(ss.str() == R"({"area":[1,-1,-1,1],"grid":[2,2]})");
}
SECTION("process with output of dynamic size") {
// output (RawOutput instead of MIROutput to access specific methods)
param::SimpleParametrisation meta2;
std::vector<double> values2;
std::unique_ptr<output::MIROutput> output(new output::ResizableOutput(values2, meta2));
// process
job.execute(*input, *output);
EXPECT(values2.size() == 4);
EXPECT_EQUAL(values2[0], 42.);
EXPECT_EQUAL(values2[1], 42.);
EXPECT_EQUAL(values2[2], -42.);
EXPECT_EQUAL(values2[3], -42.);
log << "output metadata: " << meta2 << std::endl;
std::ostringstream ss;
ss << meta2;
EXPECT(ss.str() == R"({"area":[1,-1,-1,1],"grid":[2,2]})");
}
}
CASE("Example 2") {
auto& log = Log::info();
// input, with a values vector representing spherical harmonics scalar field
param::SimpleParametrisation meta1;
meta1.set("spectral", true);
meta1.set("gridType", "sh");
meta1.set("truncation", 21);
std::vector<double> values1(506, 0.);
std::unique_ptr<input::MIRInput> input(new input::RawInput(values1.data(), values1.size(), meta1));
// job
api::MIRJob job;
job.set("grid", std::vector<double>{2., 2.});
job.set("area", std::vector<double>{1., -1., -1., 1.});
job.set("caching", false);
SECTION("process with output of static size") {
// output
param::SimpleParametrisation meta2;
std::vector<double> values2(4, 0);
std::unique_ptr<output::MIROutput> output(new output::RawOutput(values2.data(), values2.size(), meta2));
log << job << std::endl;
// process
job.execute(*input, *output);
EXPECT_EQUAL(values2[0], 0.); // TODO: improve results check
EXPECT_EQUAL(values2[1], 0.);
EXPECT_EQUAL(values2[2], 0.);
EXPECT_EQUAL(values2[3], 0.);
log << "output metadata: " << meta2 << std::endl;
std::ostringstream ss;
ss << meta2;
EXPECT(ss.str() == R"({"area":[1,-1,-1,1],"grid":[2,2]})");
}
SECTION("process with output of dynamic size") {
// output (RawOutput instead of MIROutput to access specific methods)
param::SimpleParametrisation meta2;
std::vector<double> values2;
std::unique_ptr<output::MIROutput> output(new output::ResizableOutput(values2, meta2));
// process
job.execute(*input, *output);
EXPECT(values2.size() == 4);
EXPECT_EQUAL(values2[0], 0.);
EXPECT_EQUAL(values2[1], 0.);
EXPECT_EQUAL(values2[2], 0.);
EXPECT_EQUAL(values2[3], 0.);
log << "output metadata: " << meta2 << std::endl;
std::ostringstream ss;
ss << meta2;
EXPECT(ss.str() == R"({"area":[1,-1,-1,1],"grid":[2,2]})");
}
}
CASE("Example 3") {
auto& log = Log::info();
SECTION("grid=unstructured regridded") {
const double missingValue = 42.;
const eckit::PathName matrix = "raw_memory_example_3.mat";
// input metadata & data
param::SimpleParametrisation meta1;
meta1.set("gridded", true);
meta1.set("gridType", "unstructured_grid");
meta1.set("numberOfPoints", 3);
meta1.set("missing_value", missingValue);
std::vector<double> values1(3, 1.);
std::unique_ptr<input::MIRInput> input(new input::RawInput(values1.data(), values1.size(), meta1));
// output metadata (empty) & data (resizable)
param::SimpleParametrisation meta2;
std::vector<double> values2;
std::unique_ptr<output::MIROutput> output(new output::ResizableOutput(values2, meta2));
// matrix file
if (!matrix.exists()) {
method::WeightMatrix W(4, 3);
W.setFromTriplets({{0, 0, 1.}, {0, 1, 1.}, {0, 2, 1.}, {1, 0, 2.}, {1, 1, 1.}, {1, 2, -1.}, {2, 2, 1.}});
W.save(matrix);
}
// job
api::MIRJob job;
job.set("grid", std::vector<double>{2., 2.});
job.set("area", std::vector<double>{1., -1., -1., 1.});
job.set("interpolation", "matrix");
job.set("interpolation-matrix", matrix);
log << job << std::endl;
// process
job.execute(*input, *output);
EXPECT(values2.size() == 4);
EXPECT_EQUAL(values2[0], 3.);
EXPECT_EQUAL(values2[1], 2.);
EXPECT_EQUAL(values2[2], 1.);
EXPECT_EQUAL(values2[3], missingValue);
log << "output metadata: " << meta2 << std::endl;
std::ostringstream ss;
ss << meta2;
EXPECT(ss.str() == R"({"area":[1,-1,-1,1],"grid":[2,2],"missing_value":42})");
}
}
} // namespace mir::tests::unit
int main(int argc, char** argv) {
return eckit::testing::run_tests(argc, argv);
}
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