Add sort, sortrows, median and their unit test.
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@@ -424,4 +424,95 @@ Matrix Aurora::mean(const Matrix &aMatrix, FunctionDirection direction, bool aIn
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}
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}
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}
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}
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}
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Matrix Aurora::sort(const Matrix &aMatrix) {
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if (aMatrix.getDimSize(2)>1 || aMatrix.isComplex()) {
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std::cerr
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<< (aMatrix.getDimSize(2) > 1 ? "sort() not support 3D data!" : "sort() not support complex value type!")
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<< std::endl;
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return Matrix();
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}
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return sort(std::forward<Matrix &&>(aMatrix.deepCopy()));
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}
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Matrix Aurora::sort(Matrix &&aMatrix) {
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if (aMatrix.getDimSize(2)>1 || aMatrix.isComplex()) {
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std::cerr
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<< (aMatrix.getDimSize(2) > 1 ? "sort() not support 3D data!" : "sort() not support complex value type!")
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<< std::endl;
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return Matrix();
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}
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if (aMatrix.getDimSize(0)>=100000){
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#pragma omp parallel for
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for (int i = 0; i < aMatrix.getDimSize(1); ++i) {
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Eigen::Map<Eigen::VectorXd> srcV(aMatrix.getData()+i*aMatrix.getDimSize(0),aMatrix.getDimSize(0));
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std::sort(srcV.array().begin(),srcV.array().end());
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}
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}
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else
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{
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for (int i = 0; i < aMatrix.getDimSize(1); ++i) {
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Eigen::Map<Eigen::VectorXd> srcV(aMatrix.getData()+i*aMatrix.getDimSize(0),aMatrix.getDimSize(0));
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std::sort(srcV.array().begin(),srcV.array().end());
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}
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}
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return aMatrix;
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}
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Matrix Aurora::sortrows(const Matrix &aMatrix) {
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if (aMatrix.getDimSize(2)>1 || aMatrix.isComplex()) {
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std::cerr
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<< (aMatrix.getDimSize(2) > 1 ? "sortrows() not support 3D data!" : "sortrows() not support complex value type!")
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<< std::endl;
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return Matrix();
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}
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return sortrows(std::forward<Matrix &&>(aMatrix.deepCopy()));
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}
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Matrix Aurora::sortrows(Matrix &&aMatrix) {
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if (aMatrix.getDimSize(2)>1 || aMatrix.isComplex()) {
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std::cerr
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<< (aMatrix.getDimSize(2) > 1 ? "sortrows() not support 3D data!" : "sortrows() not support complex value type!")
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<< std::endl;
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return Matrix();
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}
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Eigen::Map<Eigen::MatrixXd> srcM(aMatrix.getData(),aMatrix.getDimSize(0),aMatrix.getDimSize(1));
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if (aMatrix.getDimSize(1)>=100000){
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#pragma omp parallel for
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for (int i = 0; i < aMatrix.getDimSize(0); ++i) {
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std::sort(srcM.row(i).array().begin(),srcM.row(i).array().end());
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}
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}
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else
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{
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for (int i = 0; i < aMatrix.getDimSize(0); ++i) {
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std::sort(srcM.row(i).array().begin(),srcM.row(i).array().end());
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}
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}
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return aMatrix;
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}
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Matrix Aurora::median(const Matrix &aMatrix) {
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if (aMatrix.getDimSize(2) > 1 || aMatrix.isComplex()) {
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std::cerr
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<< (aMatrix.getDimSize(2) > 1 ? "median() not support 3D data!"
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: "median() not support complex value type!")
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<< std::endl;
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return Matrix();
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}
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Matrix sorted = sort(aMatrix);
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Eigen::Map<Eigen::MatrixXd> srcM(sorted.getData(),sorted.getDimSize(0),sorted.getDimSize(1));
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bool flag = aMatrix.getDimSize(0) % 2 == 1;
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double* ret = malloc(aMatrix.getDimSize(1));
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Eigen::Map<Eigen::VectorXd> retV(ret,aMatrix.getDimSize(1));
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if (flag) {
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retV = srcM.row(aMatrix.getDimSize(0)/2);
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return Matrix::New(ret,1,aMatrix.getDimSize(1));
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} else {
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retV = (srcM.row(aMatrix.getDimSize(0)/2-1).array()+srcM.row(aMatrix.getDimSize(0)/2).array())/2;
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return Matrix::New(ret,1,aMatrix.getDimSize(1));
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}
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}
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@@ -64,6 +64,13 @@ namespace Aurora {
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*/
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Matrix mean(const Matrix& aMatrix,FunctionDirection direction = Column, bool aIncludeNan = true);
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Matrix sort(const Matrix& aMatrix);
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Matrix sort(Matrix&& aMatrix);
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Matrix sortrows(const Matrix& aMatrix);
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Matrix sortrows(Matrix&& aMatrix);
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Matrix median(const Matrix& aMatrix);
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};
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@@ -245,6 +245,71 @@ TEST_F(Function2D_Test, mean) {
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}
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}
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TEST_F(Function2D_Test, sort) {
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double *dataB = new double[16]{1.1, 2.6, 6.2, 3.8,
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4.3, 10.6, 5.7, 6.9,
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7.1, 8.3, 9.7, 11.2,
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17.8, 13.3,7 , -7.7};
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auto B = Aurora::Matrix::fromRawData(dataB, 4, 4);
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auto ret = Aurora::sort(B);
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EXPECT_EQ(4, ret.getDimSize(0));
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EXPECT_EQ(4, ret.getDimSize(1));
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EXPECT_DOUBLE_EQ(3.8, ret.getData()[2]);
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EXPECT_DOUBLE_EQ(5.7, ret.getData()[5]);
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EXPECT_DOUBLE_EQ(-7.7, ret.getData()[12]);
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ret = Aurora::sort(B*5);
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EXPECT_EQ(4, ret.getDimSize(0));
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EXPECT_EQ(4, ret.getDimSize(1));
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EXPECT_DOUBLE_EQ(19, ret.getData()[2]);
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EXPECT_DOUBLE_EQ(28.5, ret.getData()[5]);
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EXPECT_DOUBLE_EQ(-38.5, ret.getData()[12]);
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//big sort 10w以上多线程快
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double * dataA = Aurora::random(1000000*4);
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auto A = Aurora::Matrix::New(dataA, 1000000, 4);
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ret = Aurora::sort(A);
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}
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TEST_F(Function2D_Test, sortrows) {
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double *dataB = new double[16]{1.1, 2.6, 6.2, 3.8,
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4.3, 10.6, 5.7, 6.9,
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7.1, 8.3, 9.7, 11.2,
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17.8, 13.3,7 , -7.7};
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auto B = Aurora::Matrix::fromRawData(dataB, 4, 4);
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auto ret = Aurora::sortrows(B);
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EXPECT_EQ(4, ret.getDimSize(0));
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EXPECT_EQ(4, ret.getDimSize(1));
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EXPECT_DOUBLE_EQ(5.7, ret.getData()[2]);
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EXPECT_DOUBLE_EQ(8.3, ret.getData()[5]);
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EXPECT_DOUBLE_EQ(17.8, ret.getData()[12]);
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ret = Aurora::sortrows(B*5);
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EXPECT_EQ(4, ret.getDimSize(0));
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EXPECT_EQ(4, ret.getDimSize(1));
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EXPECT_DOUBLE_EQ(28.5, ret.getData()[2]);
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EXPECT_DOUBLE_EQ(41.5, ret.getData()[5]);
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EXPECT_DOUBLE_EQ(89, ret.getData()[12]);
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//big sort 10w以上多线程快
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double * dataA = Aurora::random(1000000*4);
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auto A = Aurora::Matrix::New(dataA, 4, 1000000);
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ret = Aurora::sortrows(A);
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}
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TEST_F(Function2D_Test, median) {
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double *dataB = new double[20]{1.1, 2.6, 3.8, 6.2,
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4.3, 5.7, 6.9, 10.6,
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7.1, 8.3, 9.7, 11.2,
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17.8, 13.3,26.5 , -7.7,
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9.9, 8.2, 6.3, 5.1};
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auto B = Aurora::Matrix::fromRawData(dataB, 4, 5);
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auto ret = Aurora::median(B);
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EXPECT_EQ(1, ret.getDimSize(0));
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EXPECT_EQ(5, ret.getDimSize(1));
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EXPECT_DOUBLE_EQ(3.2, ret.getData()[0]);
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EXPECT_DOUBLE_EQ(6.3, ret.getData()[1]);
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EXPECT_DOUBLE_EQ(9, ret.getData()[2]);
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EXPECT_DOUBLE_EQ(15.55, ret.getData()[3]);
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EXPECT_DOUBLE_EQ(7.25, ret.getData()[4]);
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}
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TEST_F(Function2D_Test, fftAndComplexAndIfft){
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// double input[10]{1,1,0,2,2,0,1,1,0,2};
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// std::complex<double>* complexInput = Aurora::complex(10,input);
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