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OrderTest.cpp
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/*
* Copyright 2021 The DAPHNE Consortium
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include <runtime/local/datagen/GenGivenVals.h>
#include <runtime/local/datastructures/DataObjectFactory.h>
#include <runtime/local/datastructures/DenseMatrix.h>
#include <runtime/local/datastructures/Frame.h>
#include <runtime/local/datastructures/Matrix.h>
#include <runtime/local/kernels/CheckEq.h>
#include <runtime/local/kernels/Order.h>
#include <tags.h>
#include <catch.hpp>
#include <vector>
TEMPLATE_TEST_CASE("Order", TAG_KERNELS, (Frame)) {
using VT0 = double;
using VT1 = float;
using VT2 = int64_t;
using VT3 = size_t;
size_t numRows = 20;
auto c0 = genGivenVals<DenseMatrix<VT0>>(numRows, {1.1, -3.1, 4.4, -8.8, 5.6, 2.3, 0.3, 4.4, 6.6, 6.6,
-8.8, 6.6, 6.6, 4.4, -0.3, 4.4, 6.6, 2.3, 6.6, 5.6});
auto c1 = genGivenVals<DenseMatrix<VT1>>(
numRows, {1.1, -2, 4.4, 2.1, 1.1, 2.3, 0.5, 4.4, -10, 0, 2.1, 10, 10, 4.4, -0.3, -15.5, 10, -2.3, 10, -1.1});
auto c2 = genGivenVals<DenseMatrix<VT2>>(numRows, {0, 0, 1, 1, 0, 0, 0, 3, 0, 0, 2, 1, 2, 3, 0, 0, 3, 0, 3, 0});
auto c3 =
genGivenVals<DenseMatrix<VT3>>(numRows, {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19});
std::vector<Structure *> colsArg = {c0, c1, c2, c3};
auto arg = DataObjectFactory::create<Frame>(colsArg, nullptr);
DataObjectFactory::destroy(c0, c1, c1, c2);
Frame *exp{};
Frame *res{};
DenseMatrix<size_t> *resIdxs = nullptr;
size_t numKeyCols;
size_t colIdxs[4];
bool ascending[4];
DenseMatrix<VT0> *c0Exp{};
DenseMatrix<VT1> *c1Exp{};
DenseMatrix<VT2> *c2Exp{};
DenseMatrix<VT3> *c3Exp{};
SECTION("single key column, ascending") {
c0Exp = genGivenVals<DenseMatrix<VT0>>(numRows, {-8.8, -8.8, -3.1, -0.3, 0.3, 1.1, 2.3, 2.3, 4.4, 4.4,
4.4, 4.4, 5.6, 5.6, 6.6, 6.6, 6.6, 6.6, 6.6, 6.6});
c1Exp = genGivenVals<DenseMatrix<VT1>>(numRows, {2.1, 2.1, -2, -0.3, 0.5, 1.1, 2.3, -2.3, 4.4, 4.4,
4.4, -15.5, 1.1, -1.1, -10, 0, 10, 10, 10, 10});
c2Exp = genGivenVals<DenseMatrix<VT2>>(numRows, {1, 2, 0, 0, 0, 0, 0, 0, 1, 3, 3, 0, 0, 0, 0, 0, 1, 2, 3, 3});
c3Exp = genGivenVals<DenseMatrix<VT3>>(numRows,
{3, 10, 1, 14, 6, 0, 5, 17, 2, 7, 13, 15, 4, 19, 8, 9, 11, 12, 16, 18});
numKeyCols = 1;
colIdxs[0] = 0;
ascending[0] = true;
}
SECTION("single key column, descending") {
c0Exp = genGivenVals<DenseMatrix<VT0>>(numRows, {6.6, 6.6, 6.6, 6.6, 4.4, 4.4, 4.4, 2.3, -8.8, -8.8,
1.1, 5.6, 0.3, 6.6, -0.3, 5.6, -3.1, 2.3, 6.6, 4.4});
c1Exp = genGivenVals<DenseMatrix<VT1>>(numRows, {10, 10, 10, 10, 4.4, 4.4, 4.4, 2.3, 2.1, 2.1,
1.1, 1.1, 0.5, 0, -0.3, -1.1, -2, -2.3, -10, -15.5});
c2Exp = genGivenVals<DenseMatrix<VT2>>(numRows, {1, 2, 3, 3, 1, 3, 3, 0, 1, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0});
c3Exp = genGivenVals<DenseMatrix<VT3>>(numRows,
{11, 12, 16, 18, 2, 7, 13, 5, 3, 10, 0, 4, 6, 9, 14, 19, 1, 17, 8, 15});
numKeyCols = 1;
colIdxs[0] = 1;
ascending[0] = false;
}
SECTION("two key columns, ascending/descending") {
c0Exp = genGivenVals<DenseMatrix<VT0>>(numRows, {-8.8, -8.8, -3.1, -0.3, 0.3, 1.1, 2.3, 2.3, 4.4, 4.4,
4.4, 4.4, 5.6, 5.6, 6.6, 6.6, 6.6, 6.6, 6.6, 6.6});
c1Exp = genGivenVals<DenseMatrix<VT1>>(numRows, {2.1, 2.1, -2, -0.3, 0.5, 1.1, 2.3, -2.3, 4.4, 4.4,
4.4, -15.5, 1.1, -1.1, 10, 10, 10, 10, -10, 0});
c2Exp = genGivenVals<DenseMatrix<VT2>>(numRows, {2, 1, 0, 0, 0, 0, 0, 0, 3, 3, 1, 0, 0, 0, 3, 3, 2, 1, 0, 0});
c3Exp = genGivenVals<DenseMatrix<VT3>>(numRows,
{10, 3, 1, 14, 6, 0, 5, 17, 7, 13, 2, 15, 4, 19, 16, 18, 12, 11, 8, 9});
numKeyCols = 2;
colIdxs[0] = 0;
ascending[0] = true;
colIdxs[1] = 2;
ascending[1] = false;
}
SECTION("four key columns, ascending/descending") {
c0Exp = genGivenVals<DenseMatrix<VT0>>(numRows, {4.4, 6.6, 2.3, -3.1, 5.6, -0.3, 6.6, 0.3, 5.6, 1.1,
-8.8, -8.8, 2.3, 4.4, 4.4, 4.4, 6.6, 6.6, 6.6, 6.6});
c1Exp = genGivenVals<DenseMatrix<VT1>>(numRows, {-15.5, -10, -2.3, -2, -1.1, -0.3, 0, 0.5, 1.1, 1.1,
2.1, 2.1, 2.3, 4.4, 4.4, 4.4, 10, 10, 10, 10});
c2Exp = genGivenVals<DenseMatrix<VT2>>(numRows, {0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 3, 3, 1, 3, 3, 2, 1});
c3Exp = genGivenVals<DenseMatrix<VT3>>(numRows,
{15, 8, 17, 1, 19, 14, 9, 6, 4, 0, 10, 3, 5, 7, 13, 2, 16, 18, 12, 11});
numKeyCols = 4;
colIdxs[0] = 1;
ascending[0] = true;
colIdxs[1] = 0;
ascending[1] = false;
colIdxs[2] = 2;
ascending[2] = false;
colIdxs[3] = 3;
ascending[3] = true;
}
std::vector<Structure *> colsExp = {c0Exp, c1Exp, c2Exp, c3Exp};
exp = DataObjectFactory::create<Frame>(colsExp, nullptr);
DataObjectFactory::destroy(c0Exp, c1Exp, c2Exp);
order(res, arg, colIdxs, numKeyCols, ascending, numKeyCols, false, nullptr);
order(resIdxs, arg, colIdxs, numKeyCols, ascending, numKeyCols, true, nullptr);
CHECK(*res == *exp);
CHECK(*resIdxs == *c3Exp);
DataObjectFactory::destroy(c3Exp, arg, exp, res);
}
TEMPLATE_PRODUCT_TEST_CASE("Order", TAG_KERNELS, (DenseMatrix, Matrix), (double, float)) { // NOLINT(cert-err58-cpp)
using DT = TestType;
using DTIdx = typename DT::template WithValueType<size_t>;
size_t numKeyCols;
size_t colIdxs[4];
bool ascending[4];
DT *argMatrix = nullptr;
DT *resMatrix = nullptr;
DT *expMatrix = nullptr;
DTIdx *resIdxs = nullptr;
DTIdx *expIdxs = nullptr;
SECTION("single key column, ascending") {
argMatrix = genGivenVals<DT>(4, {1, 10, 3, 7, 7, 7, 17, 7, 2, 3, 7, 7, 7, 7, 1, 2, 3, 7, 7, 7, 1, 1, 2, 3});
expMatrix = genGivenVals<DT>(4, {7, 7, 1, 1, 2, 3, 7, 7, 1, 2, 3, 7, 17, 7, 2, 3, 7, 7, 1, 10, 3, 7, 7, 7});
expIdxs = genGivenVals<DTIdx>(4, {3, 2, 1, 0});
numKeyCols = 1;
colIdxs[0] = 3;
ascending[0] = true;
}
SECTION("four key columns, ascending/descending") {
argMatrix = genGivenVals<DT>(20, {1.1, 1.1, 0, 6, -3.1, -2, 0, 3, 4.4, 4.4, 1, 9, -8.8, 2.1, 1, 1,
5.6, 1.1, 0, 13, 2.3, 2.3, 0, 7, 0.3, 0.5, 0, 5, 4.4, 4.4, 3, 10,
6.6, -10, 0, 15, 6.6, 0, 0, 16, -8.8, 2.1, 2, 2, 6.6, 10, 1, 17,
6.6, 10, 2, 18, 4.4, 4.4, 3, 11, -0.3, -0.3, 0, 4, 4.4, -15.5, 0, 12,
6.6, 10, 3, 19, 2.3, -2.3, 0, 8, 6.6, 10, 3, 20, 5.6, -1.1, 0, 14});
expMatrix = genGivenVals<DT>(20, {4.4, -15.5, 0, 12, 6.6, -10, 0, 15, 2.3, -2.3, 0, 8, -3.1, -2, 0, 3,
5.6, -1.1, 0, 14, -0.3, -0.3, 0, 4, 6.6, 0, 0, 16, 0.3, 0.5, 0, 5,
5.6, 1.1, 0, 13, 1.1, 1.1, 0, 6, -8.8, 2.1, 2, 2, -8.8, 2.1, 1, 1,
2.3, 2.3, 0, 7, 4.4, 4.4, 3, 10, 4.4, 4.4, 3, 11, 4.4, 4.4, 1, 9,
6.6, 10, 3, 19, 6.6, 10, 3, 20, 6.6, 10, 2, 18, 6.6, 10, 1, 17});
expIdxs = genGivenVals<DTIdx>(20, {15, 8, 17, 1, 19, 14, 9, 6, 4, 0, 10, 3, 5, 7, 13, 2, 16, 18, 12, 11});
numKeyCols = 4;
colIdxs[0] = 1;
ascending[0] = true;
colIdxs[1] = 0;
ascending[1] = false;
colIdxs[2] = 2;
ascending[2] = false;
colIdxs[3] = 3;
ascending[3] = true;
}
order(resMatrix, argMatrix, colIdxs, numKeyCols, ascending, numKeyCols, false, nullptr);
order(resIdxs, argMatrix, colIdxs, numKeyCols, ascending, numKeyCols, true, nullptr);
CHECK(*resMatrix == *expMatrix);
CHECK(*resIdxs == *expIdxs);
DataObjectFactory::destroy(argMatrix, resMatrix, expMatrix, resIdxs, expIdxs);
}