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/**
* Copyright 2023-2024, XGBoost Contributors
*/
#include <gtest/gtest.h>
#include <xgboost/json.h> // for Json
#include <xgboost/tree_model.h> // for RegTree
#include "../../../../src/common/categorical.h" // for CatBitField
#include "../../../../src/tree/hist/expand_entry.h"
namespace xgboost::tree {
TEST(ExpandEntry, IO) {
CPUExpandEntry entry{RegTree::kRoot, 0};
entry.split.Update(1.0, 1, /*new_split_value=*/0.3, true, true, GradStats{1.0, 1.0},
GradStats{2.0, 2.0});
bst_bin_t n_bins_feature = 256;
auto n = common::CatBitField::ComputeStorageSize(n_bins_feature);
entry.split.cat_bits = decltype(entry.split.cat_bits)(n, 0);
common::CatBitField cat_bits{entry.split.cat_bits};
cat_bits.Set(n_bins_feature / 2);
Json je{Object{}};
entry.Save(&je);
CPUExpandEntry loaded;
loaded.Load(je);
ASSERT_EQ(loaded.split.is_cat, entry.split.is_cat);
ASSERT_EQ(loaded.split.cat_bits, entry.split.cat_bits);
ASSERT_EQ(loaded.split.left_sum.GetGrad(), entry.split.left_sum.GetGrad());
ASSERT_EQ(loaded.split.right_sum.GetHess(), entry.split.right_sum.GetHess());
}
TEST(ExpandEntry, IOMulti) {
MultiExpandEntry entry{RegTree::kRoot, 0};
auto left_sum = std::vector<GradientPairPrecise>{{1.0, 1.0}, {1.0, 1.0}};
auto right_sum = std::vector<GradientPairPrecise>{{2.0, 2.0}, {2.0, 2.0}};
entry.split.Update(1.0, 1, /*new_split_value=*/0.3, true, true,
linalg::MakeVec(left_sum.data(), left_sum.size()),
linalg::MakeVec(right_sum.data(), right_sum.size()));
bst_bin_t n_bins_feature = 256;
auto n = common::CatBitField::ComputeStorageSize(n_bins_feature);
entry.split.cat_bits = decltype(entry.split.cat_bits)(n, 0);
common::CatBitField cat_bits{entry.split.cat_bits};
cat_bits.Set(n_bins_feature / 2);
Json je{Object{}};
entry.Save(&je);
MultiExpandEntry loaded;
loaded.Load(je);
ASSERT_EQ(loaded.split.is_cat, entry.split.is_cat);
ASSERT_EQ(loaded.split.cat_bits, entry.split.cat_bits);
ASSERT_EQ(loaded.split.left_sum, entry.split.left_sum);
ASSERT_EQ(loaded.split.right_sum, entry.split.right_sum);
}
} // namespace xgboost::tree
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