Workaround "misleading-indentation" warnings
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				| @ -72,14 +72,14 @@ void sparselu_gemm(Index m, Index n, Index d, const Scalar* A, Index lda, const | ||||
|          | ||||
|         // load and expand a RN x RK block of B
 | ||||
|         Packet b00, b10, b20, b30, b01, b11, b21, b31; | ||||
|                   b00 = pset1<Packet>(Bc0[0]); | ||||
|                   b10 = pset1<Packet>(Bc0[1]); | ||||
|         if(RK==4) b20 = pset1<Packet>(Bc0[2]); | ||||
|         if(RK==4) b30 = pset1<Packet>(Bc0[3]); | ||||
|                   b01 = pset1<Packet>(Bc1[0]); | ||||
|                   b11 = pset1<Packet>(Bc1[1]); | ||||
|         if(RK==4) b21 = pset1<Packet>(Bc1[2]); | ||||
|         if(RK==4) b31 = pset1<Packet>(Bc1[3]); | ||||
|                   { b00 = pset1<Packet>(Bc0[0]); } | ||||
|                   { b10 = pset1<Packet>(Bc0[1]); } | ||||
|         if(RK==4) { b20 = pset1<Packet>(Bc0[2]); } | ||||
|         if(RK==4) { b30 = pset1<Packet>(Bc0[3]); } | ||||
|                   { b01 = pset1<Packet>(Bc1[0]); } | ||||
|                   { b11 = pset1<Packet>(Bc1[1]); } | ||||
|         if(RK==4) { b21 = pset1<Packet>(Bc1[2]); } | ||||
|         if(RK==4) { b31 = pset1<Packet>(Bc1[3]); } | ||||
|          | ||||
|         Packet a0, a1, a2, a3, c0, c1, t0, t1; | ||||
|          | ||||
|  | ||||
| @ -124,14 +124,15 @@ EIGEN_LAPACK_FUNC(gesvd,(char *jobu, char *jobv, int *m, int* n, Scalar* a, int | ||||
|   JacobiSVD<PlainMatrixType> svd(mat,option); | ||||
|    | ||||
|   make_vector(s,diag_size) = svd.singularValues().head(diag_size); | ||||
|    | ||||
|   { | ||||
|         if(*jobu=='A') matrix(u,*m,*m,*ldu)           = svd.matrixU(); | ||||
|   else  if(*jobu=='S') matrix(u,*m,diag_size,*ldu)    = svd.matrixU(); | ||||
|   else  if(*jobu=='O') matrix(a,*m,diag_size,*lda)           = svd.matrixU(); | ||||
|    | ||||
|   else  if(*jobu=='O') matrix(a,*m,diag_size,*lda)    = svd.matrixU(); | ||||
|   } | ||||
|   { | ||||
|         if(*jobv=='A') matrix(vt,*n,*n,*ldvt)         = svd.matrixV().adjoint(); | ||||
|   else  if(*jobv=='S') matrix(vt,diag_size,*n,*ldvt)  = svd.matrixV().adjoint(); | ||||
|   else  if(*jobv=='O') matrix(a,diag_size,*n,*lda)    = svd.matrixV().adjoint(); | ||||
|      | ||||
|   } | ||||
|   return 0; | ||||
| } | ||||
|  | ||||
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	 Christoph Hertzberg
						Christoph Hertzberg