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categorical_model_test.cpp
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#include "base.h"
#include "model.h"
#include "utility.h"
#include "categorical_model.h"
#include <vector>
#include <iostream>
#include <memory>
namespace db_compress {
Schema schema;
std::vector<EnumAttrValue> vec;
std::vector<size_t> pred;
Tuple tuple(3);
class MockInterpreter : public AttrInterpreter {
public:
bool EnumInterpretable() const { return true; }
int EnumCap() const { return 2; }
int EnumInterpret(const AttrValue* attr) const {
return static_cast<const EnumAttrValue*>(attr)->Value();
}
};
const Tuple& GetTuple(size_t a, size_t b, size_t c) {
vec.clear();
vec.push_back(EnumAttrValue(a));
vec.push_back(EnumAttrValue(b));
vec.push_back(EnumAttrValue(c));
for (int i = 0; i < 3; ++i)
tuple.attr[i] = &vec[i];
return tuple;
}
void PrepareData() {
RegisterAttrModel(0, new TableCategoricalCreator());
std::vector<int> schema_;
for (int i = 0; i < 3; ++ i)
schema_.push_back(0);
schema = Schema(schema_);
pred.push_back(0); pred.push_back(1);
RegisterAttrInterpreter(0, new MockInterpreter());
}
void TestProbTree() {
std::unique_ptr<Model> model(new TableCategorical(schema, pred, 2, 0.1));
for (int i = 0; i < 10; ++ i)
model->FeedTuple(GetTuple(0, 0, 0));
model->FeedTuple(GetTuple(0, 0, 3));
model->FeedTuple(GetTuple(0, 1, 0));
model->FeedTuple(GetTuple(0, 1, 3));
for (int i = 0; i < 3; ++ i)
model->FeedTuple(GetTuple(1, 0, 0));
model->FeedTuple(GetTuple(1, 0, 3));
for (int i = 0; i < 4; ++ i)
model->FeedTuple(GetTuple(1, 1, i));
model->EndOfData();
int test_a[4] = {0, 0, 1, 1};
int test_b[4] = {0, 1, 0, 1};
Prob test_ans[4][3] = { {GetProb(255, 8), GetProb(255, 8), GetProb(255, 8)},
{GetProb(1,1), GetProb(1,1), GetProb(1,1)},
{GetProb(3,2), GetProb(3,2), GetProb(3,2)},
{GetProb(1,2), GetProb(2,2), GetProb(3,2)} };
int test_ret[4] = {0, 0, 0, 3};
for (int i = 0; i < 4; ++ i) {
ProbTree* tree = model->GetProbTree(GetTuple(test_a[i], test_b[i], i));
if (!tree->HasNextBranch())
std::cerr << "Prob Tree Unit Test Failed!\n";
if (tree->GetProbSegs().size() != 3)
std::cerr << "Prob Tree Unit Test Failed!\n";
for (int j = 0; j < 3; ++ j)
if (tree->GetProbSegs()[j] != test_ans[i][j])
std::cerr << "Prob Tree Unit Test Failed!\n";
if (tree->GetNextBranch(tuple.attr[2]) != test_ret[i])
std::cerr << "Prob Tree Unit Test Failed!\n";
tree->ChooseNextBranch(i);
if (tree->HasNextBranch())
std::cerr << "Prob Tree Unit Test Failed!\n";
}
}
void TestModelCost() {
std::unique_ptr<Model> model(GetAttrModel(0)[0]->CreateModel(schema, pred, 2, 0));
for (int i = 0; i < 2; ++ i)
for (int j = 0; j < 2; ++ j)
for (int k = 0; k < 2; ++ k)
model->FeedTuple(GetTuple(i, j, k));
model->EndOfData();
if (model->GetModelDescriptionLength() != 96)
std::cerr << "Model Cost Unit Test Failed!\n";
if (model->GetModelCost() != 104)
std::cerr << "Model Cost Unit Test Failed!\n";
}
void TestModelDescription() {
std::unique_ptr<Model> model(GetAttrModel(0)[0]->CreateModel(schema, pred, 2, 0));
for (int i = 0; i < 2; ++ i)
for (int j = 0; j < 2; ++ j)
for (int k = 0; k < 2; ++ k)
model->FeedTuple(GetTuple(i, j, k));
model->EndOfData();
{
std::vector<size_t> block;
block.push_back(model->GetModelDescriptionLength());
ByteWriter writer(&block, "byte_writer_test.txt");
model->WriteModel(&writer, 0);
}
{
ByteReader reader("byte_writer_test.txt");
std::unique_ptr<Model> new_model(GetAttrModel(0)[0]->ReadModel(&reader, schema, 2));
if (new_model->GetTargetVar() != 2 || new_model->GetPredictorList().size() != 2 ||
new_model->GetPredictorList()[0] != 0 ||
new_model->GetPredictorList()[1] != 1)
std::cerr << "Model Description Unit Test Failed!\n";
for (int i = 0; i < 2; ++i)
for (int j = 0; j < 2; ++j) {
ProbTree* tree = new_model->GetProbTree(GetTuple(i, j, 0));
if (tree->GetProbSegs().size() != 1 ||
tree->GetProbSegs()[0] != GetProb(1, 1))
std::cerr << "Model Description Unit Test Failed!\n";
}
}
}
void Test() {
PrepareData();
TestProbTree();
TestModelCost();
TestModelDescription();
}
} // namespace db_compress
int main() {
db_compress::Test();
}