clang-format fixups

Author: alalek

modules/alphamat/src/cm.cpp

@@ -8,7 +8,8 @@
 
 namespace cv { namespace alphamat {
 
-static void generateFVectorCM(my_vector_of_vectors_t& samples, Mat& img)
+static
+void generateFVectorCM(my_vector_of_vectors_t& samples, Mat& img)
 {
     int nRows = img.rows;
     int nCols = img.cols;
@@ -31,7 +32,8 @@ static void generateFVectorCM(my_vector_of_vectors_t& samples, Mat& img)
     }
 }
 
-static void kdtree_CM(Mat& img, my_vector_of_vectors_t& indm, my_vector_of_vectors_t& samples, std::unordered_set<int>& unk)
+static
+void kdtree_CM(Mat& img, my_vector_of_vectors_t& indm, my_vector_of_vectors_t& samples, std::unordered_set<int>& unk)
 {
     // Generate feature vectors for intra U:
     generateFVectorCM(samples, img);
@@ -70,7 +72,9 @@ static void kdtree_CM(Mat& img, my_vector_of_vectors_t& indm, my_vector_of_vecto
     }
 }
 
-static void lle(my_vector_of_vectors_t& indm, my_vector_of_vectors_t& samples, float eps, std::unordered_set<int>& unk, SparseMatrix<double>& Wcm, SparseMatrix<double>& Dcm, Mat& img)
+static
+void lle(my_vector_of_vectors_t& indm, my_vector_of_vectors_t& samples, float eps, std::unordered_set<int>& unk,
+        SparseMatrix<double>& Wcm, SparseMatrix<double>& Dcm, Mat& img)
 {
     CV_LOG_INFO(NULL, "ALPHAMAT: In cm's lle function");
     int k = indm[0].size();  //number of neighbours that we are considering

modules/alphamat/src/infoflow.cpp

@@ -10,7 +10,8 @@ using namespace Eigen;
 
 namespace cv { namespace alphamat {
 
-static void solve(SparseMatrix<double> Wcm, SparseMatrix<double> Wuu, SparseMatrix<double> Wl, SparseMatrix<double> Dcm,
+static
+void solve(SparseMatrix<double> Wcm, SparseMatrix<double> Wuu, SparseMatrix<double> Wl, SparseMatrix<double> Dcm,
         SparseMatrix<double> Duu, SparseMatrix<double> Dl, SparseMatrix<double> T,
         Mat& wf, Mat& alpha)
 {

modules/alphamat/src/intraU.cpp

@@ -14,7 +14,8 @@ int findColMajorInd(int rowMajorInd, int nRows, int nCols)
     return (jInd * nRows + iInd);
 }
 
-static void generateFVectorIntraU(my_vector_of_vectors_t& samples, Mat& img, Mat& tmap, std::vector<int>& orig_ind)
+static
+void generateFVectorIntraU(my_vector_of_vectors_t& samples, Mat& img, Mat& tmap, std::vector<int>& orig_ind)
 {
     int nRows = img.rows;
     int nCols = img.cols;
@@ -55,7 +56,8 @@ static void generateFVectorIntraU(my_vector_of_vectors_t& samples, Mat& img, Mat
     CV_LOG_INFO(NULL, "ALPHAMAT: Total number of unknown pixels : " << c1);
 }
 
-static void kdtree_intraU(Mat& img, Mat& tmap, my_vector_of_vectors_t& indm, my_vector_of_vectors_t& samples, std::vector<int>& orig_ind)
+static
+void kdtree_intraU(Mat& img, Mat& tmap, my_vector_of_vectors_t& indm, my_vector_of_vectors_t& samples, std::vector<int>& orig_ind)
 {
     // Generate feature vectors for intra U:
     generateFVectorIntraU(samples, img, tmap, orig_ind);
@@ -95,7 +97,8 @@ double l1norm(std::vector<double>& x, std::vector<double>& y)
     return sum / ALPHAMAT_DIM;
 }
 
-static void intraU(Mat& img, my_vector_of_vectors_t& indm, my_vector_of_vectors_t& samples,
+static
+void intraU(Mat& img, my_vector_of_vectors_t& indm, my_vector_of_vectors_t& samples,
         std::vector<int>& orig_ind, SparseMatrix<double>& Wuu, SparseMatrix<double>& Duu)
 {
     // input: indm, samples