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/**
* Copyright 2022-2024, XGBoost contributors
*/
#include "test_iterative_dmatrix.h"
#include <gtest/gtest.h>
#include <limits> // for numeric_limits
#include <memory>
#include "../../../src/data/gradient_index.h"
#include "../../../src/data/iterative_dmatrix.h"
#include "../helpers.h"
#include "xgboost/data.h" // DMatrix
namespace xgboost::data {
TEST(IterativeDMatrix, Ref) {
Context ctx;
TestRefDMatrix<GHistIndexMatrix, NumpyArrayIterForTest>(
&ctx, [&](GHistIndexMatrix const& page) { return page.cut; });
}
TEST(IterativeDMatrix, IsDense) {
bst_bin_t n_bins = 16;
auto test = [n_bins](float sparsity) {
NumpyArrayIterForTest iter(sparsity);
auto n_threads = 0;
IterativeDMatrix m(&iter, iter.Proxy(), nullptr, Reset, Next,
std::numeric_limits<float>::quiet_NaN(), n_threads, n_bins,
std::numeric_limits<std::int64_t>::max());
ASSERT_EQ(m.Ctx()->Threads(), AllThreadsForTest());
if (sparsity == 0.0) {
ASSERT_TRUE(m.IsDense());
} else {
ASSERT_FALSE(m.IsDense());
}
};
test(0.0);
test(0.1);
test(1.0);
}
} // namespace xgboost::data
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