diff --git a/src/Benchmarks/BLAS/array-operations.h b/src/Benchmarks/BLAS/array-operations.h
index 99b934c7b63f25aeade83d59edcb10b355ffd31b..a0c339722ad54b741e66b5e272c4c97c559f60cd 100644
--- a/src/Benchmarks/BLAS/array-operations.h
+++ b/src/Benchmarks/BLAS/array-operations.h
@@ -23,8 +23,10 @@ benchmarkArrayOperations( Benchmark<> & benchmark,
double datasetSize = (double) size * sizeof( Real ) / oneGB;
- HostArray hostArray, hostArray2;
- CudaArray deviceArray, deviceArray2;
+ HostArray hostArray;
+ HostArray hostArray2;
+ CudaArray deviceArray;
+ CudaArray deviceArray2;
hostArray.setSize( size );
hostArray2.setSize( size );
#ifdef HAVE_CUDA
diff --git a/src/Benchmarks/BLAS/gemv.h b/src/Benchmarks/BLAS/gemv.h
index e5fb88cbe4fa2fda77dd0f3a97d3bcd725e107f4..4080ef566c490f6c48d3fdd9cfb002f4215251fa 100644
--- a/src/Benchmarks/BLAS/gemv.h
+++ b/src/Benchmarks/BLAS/gemv.h
@@ -32,8 +32,11 @@ benchmarkGemv( Benchmark<> & benchmark, int rows, int columns )
HostMatrix hostMatrix;
RowMajorCudaMatrix rowMajorCudaMatrix;
ColumnMajorCudaMatrix columnMajorCudaMatrix;
- HostVector inHostVector, outHostVector;
- CudaVector inCudaVector, outCudaVector1, outCudaVector2;
+ HostVector inHostVector;
+ HostVector outHostVector;
+ CudaVector inCudaVector;
+ CudaVector outCudaVector1;
+ CudaVector outCudaVector2;
hostMatrix.setDimensions( rows, columns );
inHostVector.setSize( columns );
diff --git a/src/Benchmarks/BLAS/triad.h b/src/Benchmarks/BLAS/triad.h
index f5fc2609cdeb53fbcb1f19cad85cddd90c791c50..4e0de12adfb9daca3c3ac86d1299a83d0b70c79f 100644
--- a/src/Benchmarks/BLAS/triad.h
+++ b/src/Benchmarks/BLAS/triad.h
@@ -32,8 +32,12 @@ benchmarkTriad( Benchmark<> & benchmark,
using HostArray = Containers::Array< Real, Devices::Host, Index, HostAllocator >;
using CudaArray = Containers::Array< Real, Devices::Cuda, Index, CudaAllocator >;
- HostArray a_h, b_h, c_h;
- CudaArray a_d, b_d, c_d;
+ HostArray a_h;
+ HostArray b_h;
+ HostArray c_h;
+ CudaArray a_d;
+ CudaArray b_d;
+ CudaArray c_d;
a_h.setSize( size );
b_h.setSize( size );
c_h.setSize( size );
@@ -76,8 +80,12 @@ benchmarkTriad( Benchmark<> & benchmark,
using HostArray = Containers::Array< Real, Devices::Host, Index, CudaHostAllocator >;
using CudaArray = Containers::Array< Real, Devices::Cuda, Index, CudaAllocator >;
- HostArray a_h, b_h, c_h;
- CudaArray a_d, b_d, c_d;
+ HostArray a_h;
+ HostArray b_h;
+ HostArray c_h;
+ CudaArray a_d;
+ CudaArray b_d;
+ CudaArray c_d;
a_h.setSize( size );
b_h.setSize( size );
c_h.setSize( size );
@@ -119,7 +127,9 @@ benchmarkTriad( Benchmark<> & benchmark,
{
using HostArray = Containers::Array< Real, Devices::Host, Index, CudaHostAllocator >;
- HostArray a_h, b_h, c_h;
+ HostArray a_h;
+ HostArray b_h;
+ HostArray c_h;
a_h.setSize( size );
b_h.setSize( size );
c_h.setSize( size );
@@ -150,7 +160,9 @@ benchmarkTriad( Benchmark<> & benchmark,
{
using Array = Containers::Array< Real, Devices::Host, Index, CudaManagedAllocator >;
- Array a, b, c;
+ Array a;
+ Array b;
+ Array c;
a.setSize( size );
b.setSize( size );
c.setSize( size );
diff --git a/src/Benchmarks/BLAS/vector-operations.h b/src/Benchmarks/BLAS/vector-operations.h
index 2186cd482225f4d1513b10c0831e9b8261d4365d..df242012f480142d7fc2ec6a9555e70105fe3d0e 100644
--- a/src/Benchmarks/BLAS/vector-operations.h
+++ b/src/Benchmarks/BLAS/vector-operations.h
@@ -39,8 +39,14 @@ benchmarkVectorOperations( Benchmark<> & benchmark,
double datasetSize = (double) size * sizeof( Real ) / oneGB;
- HostVector hostVector( size ), hostVector2( size ), hostVector3( size ), hostVector4( size );
- CudaVector deviceVector, deviceVector2, deviceVector3, deviceVector4;
+ HostVector hostVector( size );
+ HostVector hostVector2( size );
+ HostVector hostVector3( size );
+ HostVector hostVector4( size );
+ CudaVector deviceVector;
+ CudaVector deviceVector2;
+ CudaVector deviceVector3;
+ CudaVector deviceVector4;
#ifdef HAVE_CUDA
deviceVector.setSize( size );
deviceVector2.setSize( size );
@@ -48,12 +54,16 @@ benchmarkVectorOperations( Benchmark<> & benchmark,
deviceVector4.setSize( size );
#endif
- HostView hostView( hostVector ), hostView2( hostVector2 ), hostView3( hostVector3 ), hostView4( hostVector4 );
+ HostView hostView( hostVector );
+ HostView hostView2( hostVector2 );
+ HostView hostView3( hostVector3 );
+ HostView hostView4( hostVector4 );
#ifdef HAVE_CUDA
CudaView deviceView( deviceVector ), deviceView2( deviceVector2 ), deviceView3( deviceVector3 ), deviceView4( deviceVector4 );
#endif
- Real resultHost, resultDevice;
+ Real resultHost;
+ Real resultDevice;
#ifdef HAVE_CUDA
cublasHandle_t cublasHandle;
diff --git a/src/Benchmarks/HeatEquation/tnl-benchmark-simple-heat-equation.h b/src/Benchmarks/HeatEquation/tnl-benchmark-simple-heat-equation.h
index 0d366b40735fdd5cb28f471c638a296f97ac68ce..cf83a45ca10a418c6f1882ab620c1dca6e1361f1 100644
--- a/src/Benchmarks/HeatEquation/tnl-benchmark-simple-heat-equation.h
+++ b/src/Benchmarks/HeatEquation/tnl-benchmark-simple-heat-equation.h
@@ -579,7 +579,9 @@ int main( int argc, char* argv[] )
if( ! parseCommandLine( argc, argv, config, parameters ) )
return EXIT_FAILURE;
- Timer timer, computationTimer, updateTimer;
+ Timer timer;
+ Timer computationTimer;
+ Timer updateTimer;
String device = parameters.getParameter< String >( "device" );
if( device == "host" &&
diff --git a/src/TNL/Algorithms/Segments/Kernels/CSRAdaptiveKernel.hpp b/src/TNL/Algorithms/Segments/Kernels/CSRAdaptiveKernel.hpp
index 5ef388ab4471ccd3149cc9878f6e51278e49d589..72835856835b8b3d5b8adda9e10d28d9a338fe8f 100644
--- a/src/TNL/Algorithms/Segments/Kernels/CSRAdaptiveKernel.hpp
+++ b/src/TNL/Algorithms/Segments/Kernels/CSRAdaptiveKernel.hpp
@@ -129,7 +129,8 @@ CSRAdaptiveKernel< Index, Device >::initValueSize( const Offsets& offsets )
TNL::Containers::Vector< typename Offsets::IndexType, TNL::Devices::Host, typename Offsets::IndexType >;
HostOffsetsType hostOffsets( offsets );
const Index rows = offsets.getSize();
- Index start( 0 ), nextStart( 0 );
+ Index start( 0 );
+ Index nextStart( 0 );
size_t sum;
// Fill blocks
diff --git a/src/TNL/Algorithms/Segments/SlicedEllpack.hpp b/src/TNL/Algorithms/Segments/SlicedEllpack.hpp
index 13ae01a44b39545e4bfc95ddec8e3dbeafa1707d..caef47f6414ee30fef7783c22a7920ce734b0d69 100644
--- a/src/TNL/Algorithms/Segments/SlicedEllpack.hpp
+++ b/src/TNL/Algorithms/Segments/SlicedEllpack.hpp
@@ -163,7 +163,8 @@ SlicedEllpack< Device, Index, IndexAllocator, Organization, SliceSize >::getGlob
{
const IndexType sliceIdx = segmentIdx / SliceSize;
const IndexType segmentInSliceIdx = segmentIdx % SliceSize;
- IndexType sliceOffset, segmentSize;
+ IndexType sliceOffset;
+ IndexType segmentSize;
if( std::is_same< DeviceType, Devices::Host >::value ) {
sliceOffset = this->sliceOffsets[ sliceIdx ];
segmentSize = this->sliceSegmentSizes[ sliceIdx ];
diff --git a/src/TNL/Algorithms/Segments/SlicedEllpackView.hpp b/src/TNL/Algorithms/Segments/SlicedEllpackView.hpp
index abb3f5690379e58c324eb177bea6f8686796fe96..85834e1799821dc2d27f8b38f1e848a2ccc1feb5 100644
--- a/src/TNL/Algorithms/Segments/SlicedEllpackView.hpp
+++ b/src/TNL/Algorithms/Segments/SlicedEllpackView.hpp
@@ -110,7 +110,8 @@ SlicedEllpackView< Device, Index, Organization, SliceSize >::getGlobalIndex( con
{
const IndexType sliceIdx = segmentIdx / SliceSize;
const IndexType segmentInSliceIdx = segmentIdx % SliceSize;
- IndexType sliceOffset, segmentSize;
+ IndexType sliceOffset;
+ IndexType segmentSize;
if( std::is_same< DeviceType, Devices::Host >::value ) {
sliceOffset = this->sliceOffsets[ sliceIdx ];
segmentSize = this->sliceSegmentSizes[ sliceIdx ];
diff --git a/src/TNL/Containers/StaticVector.h b/src/TNL/Containers/StaticVector.h
index 750ac1de3cc7983448f213eb06b984f2256a83f2..6549de274a713cae0ba1febc0330715007c0bf57 100644
--- a/src/TNL/Containers/StaticVector.h
+++ b/src/TNL/Containers/StaticVector.h
@@ -209,7 +209,8 @@ __cuda_callable__
Real
TriangleArea( const StaticVector< 2, Real >& a, const StaticVector< 2, Real >& b, const StaticVector< 2, Real >& c )
{
- StaticVector< 3, Real > u1, u2;
+ StaticVector< 3, Real > u1;
+ StaticVector< 3, Real > u2;
u1.x() = b.x() - a.x();
u1.y() = b.y() - a.y();
u1.z() = 0.0;
@@ -226,7 +227,8 @@ __cuda_callable__
Real
TriangleArea( const StaticVector< 3, Real >& a, const StaticVector< 3, Real >& b, const StaticVector< 3, Real >& c )
{
- StaticVector< 3, Real > u1, u2;
+ StaticVector< 3, Real > u1;
+ StaticVector< 3, Real > u2;
u1.x() = b.x() - a.x();
u1.y() = b.y() - a.y();
u1.z() = b.z() - a.z();
diff --git a/src/TNL/Matrices/SparseMatrix.hpp b/src/TNL/Matrices/SparseMatrix.hpp
index 313639c13bd0e34b17e539962338cc528de1809a..f53e8c3cbe11e850f43365afcd1d5d5c11868757 100644
--- a/src/TNL/Matrices/SparseMatrix.hpp
+++ b/src/TNL/Matrices/SparseMatrix.hpp
@@ -1031,7 +1031,8 @@ SparseMatrix< Real, Device, Index, MatrixType, Segments, ComputeReal, RealAlloca
[ = ] __cuda_callable__( IndexType rowIdx, IndexType localIdx, IndexType & columnIndex, RealType & value ) mutable
{
RealType inValue( 0.0 );
- IndexType bufferIdx, column( rowLocalIndexes_view[ rowIdx ] );
+ IndexType bufferIdx;
+ IndexType column( rowLocalIndexes_view[ rowIdx ] );
while( inValue == 0.0 && column < matrix_columns ) {
bufferIdx = ( rowIdx - baseRow ) * maxRowLength + column++;
inValue = thisValuesBuffer_view[ bufferIdx ];
diff --git a/src/TNL/Meshes/DistributedMeshes/DistributedGrid.hpp b/src/TNL/Meshes/DistributedMeshes/DistributedGrid.hpp
index 25d8713963ccf13bd3530ab0d6d4e5bf784ee516..c8591885491b08f053d6e93ebbddc607e3963995 100644
--- a/src/TNL/Meshes/DistributedMeshes/DistributedGrid.hpp
+++ b/src/TNL/Meshes/DistributedMeshes/DistributedGrid.hpp
@@ -133,7 +133,8 @@ template< int Dimension, typename Real, typename Device, typename Index >
void
DistributedMesh< Grid< Dimension, Real, Device, Index > >::setGhostLevels( int levels )
{
- SubdomainOverlapsType lowerOverlap, upperOverlap;
+ SubdomainOverlapsType lowerOverlap;
+ SubdomainOverlapsType upperOverlap;
SubdomainOverlapsGetter< GridType >::getOverlaps( this, lowerOverlap, upperOverlap, levels );
setOverlaps( lowerOverlap, upperOverlap );
}
@@ -347,7 +348,8 @@ DistributedMesh< Grid< Dimension, Real, Device, Index > >::SetupByCut(
typename GridType::CoordinatesType outDimensions;
// set local grid
typename GridType::PointType localOrigin;
- typename GridType::CoordinatesType localBegin, localGridSize;
+ typename GridType::CoordinatesType localBegin;
+ typename GridType::CoordinatesType localGridSize;
for( int i = 0; i < Dimension; i++ ) {
outOrigin[ i ] = fromGlobalMesh.getOrigin()[ savedDimensions[ i ] ];
diff --git a/src/TNL/Meshes/GridDetails/Grid2D_impl.h b/src/TNL/Meshes/GridDetails/Grid2D_impl.h
index bd9e6256d2bbfedb16f2bad79ca9b1e8fec49ac3..91b45bec83dee72f2f519b63af3fb243930e28f6 100644
--- a/src/TNL/Meshes/GridDetails/Grid2D_impl.h
+++ b/src/TNL/Meshes/GridDetails/Grid2D_impl.h
@@ -43,7 +43,8 @@ Grid< 2, Real, Device, Index >::computeSpaceStepPowers()
const RealType& hx = this->spaceSteps.x();
const RealType& hy = this->spaceSteps.y();
- Real auxX, auxY;
+ Real auxX;
+ Real auxY;
for( int i = 0; i < 5; i++ ) {
switch( i ) {
case 0:
diff --git a/src/TNL/Meshes/GridDetails/Grid3D_impl.h b/src/TNL/Meshes/GridDetails/Grid3D_impl.h
index baaa43f339baef15f423db1c6c6c6d5b8ef05058..671afcf4e80c2e11a6abfbc7ba1903bbd14151cc 100644
--- a/src/TNL/Meshes/GridDetails/Grid3D_impl.h
+++ b/src/TNL/Meshes/GridDetails/Grid3D_impl.h
@@ -44,7 +44,9 @@ Grid< 3, Real, Device, Index >::computeSpaceStepPowers()
const RealType& hy = this->spaceSteps.y();
const RealType& hz = this->spaceSteps.z();
- Real auxX, auxY, auxZ;
+ Real auxX;
+ Real auxY;
+ Real auxZ;
for( int i = 0; i < 5; i++ ) {
switch( i ) {
case 0:
diff --git a/src/TNL/Meshes/MeshDetails/layers/EntityTags/Layer.h b/src/TNL/Meshes/MeshDetails/layers/EntityTags/Layer.h
index 759e27b454fbff1380fb699b4ecc5f128dd35774..bca7dde795347840ea039899d29efcb45d567786 100644
--- a/src/TNL/Meshes/MeshDetails/layers/EntityTags/Layer.h
+++ b/src/TNL/Meshes/MeshDetails/layers/EntityTags/Layer.h
@@ -138,7 +138,8 @@ public:
ghostsOffset = tags.getSize() - ghostEntities;
if( ! std::is_same< Device, Devices::Cuda >::value ) {
- GlobalIndexType i = 0, b = 0;
+ GlobalIndexType i = 0;
+ GlobalIndexType b = 0;
for( GlobalIndexType e = 0; e < tags.getSize(); e++ ) {
if( tags[ e ] & EntityTags::BoundaryEntity )
boundaryIndices[ b++ ] = e;
@@ -156,7 +157,8 @@ public:
using OrderingHostArray = typename OrderingArray::template Self< typename OrderingArray::ValueType, Devices::Host >;
EntityTagsHostArray hostTags;
- OrderingHostArray hostBoundaryIndices, hostInteriorIndices;
+ OrderingHostArray hostBoundaryIndices;
+ OrderingHostArray hostInteriorIndices;
hostTags.setLike( tags );
hostInteriorIndices.setLike( interiorIndices );
@@ -164,7 +166,8 @@ public:
hostTags = tags;
- GlobalIndexType i = 0, b = 0;
+ GlobalIndexType i = 0;
+ GlobalIndexType b = 0;
for( GlobalIndexType e = 0; e < tags.getSize(); e++ ) {
if( hostTags[ e ] & EntityTags::BoundaryEntity )
hostBoundaryIndices[ b++ ] = e;
diff --git a/src/TNL/Meshes/Readers/MeshReader.h b/src/TNL/Meshes/Readers/MeshReader.h
index 7b929c1b0882f2c8fbf8cd8a3be59481dc44eea4..b07168c216864963b9fe065f8adb813de5359614 100644
--- a/src/TNL/Meshes/Readers/MeshReader.h
+++ b/src/TNL/Meshes/Readers/MeshReader.h
@@ -118,7 +118,8 @@ public:
"gridSpacing has invalid size: " + std::to_string( gridSpacing.size() ) + " (should be 3)" );
// split the extent into begin and end
- typename MeshType::CoordinatesType begin, end;
+ typename MeshType::CoordinatesType begin;
+ typename MeshType::CoordinatesType end;
for( int i = 0; i < begin.getSize(); i++ ) {
begin[ i ] = gridExtent[ 2 * i ];
end[ i ] = gridExtent[ 2 * i + 1 ];
@@ -126,7 +127,8 @@ public:
mesh.setDimensions( end - begin );
// transform the origin and calculate proportions
- typename MeshType::PointType origin, proportions;
+ typename MeshType::PointType origin;
+ typename MeshType::PointType proportions;
for( int i = 0; i < origin.getSize(); i++ ) {
origin[ i ] = gridOrigin[ i ] + begin[ i ] * gridSpacing[ i ];
proportions[ i ] = ( end[ i ] - begin[ i ] ) * gridSpacing[ i ];
diff --git a/src/TNL/Meshes/Readers/NetgenReader.h b/src/TNL/Meshes/Readers/NetgenReader.h
index 3a221d5cce499599f65734e91b96abf58160cc5b..c11f3d5eb9e662acb993fc4acce6ac979a7d8b37 100644
--- a/src/TNL/Meshes/Readers/NetgenReader.h
+++ b/src/TNL/Meshes/Readers/NetgenReader.h
@@ -60,7 +60,8 @@ public:
// arrays holding the data from the file
std::vector< double > pointsArray;
- std::vector< std::int32_t > connectivityArray, offsetsArray;
+ std::vector< std::int32_t > connectivityArray;
+ std::vector< std::int32_t > offsetsArray;
std::vector< std::uint8_t > typesArray;
// read points
diff --git a/src/TNL/Meshes/Readers/VTKReader.h b/src/TNL/Meshes/Readers/VTKReader.h
index 67f95964ada67795a2df983459b9fa007eb15cc5..9c7e39619dc91836c9a039896d35fe55bf2f9aff 100644
--- a/src/TNL/Meshes/Readers/VTKReader.h
+++ b/src/TNL/Meshes/Readers/VTKReader.h
@@ -45,7 +45,8 @@ public:
// parse the file, find the starting positions of all relevant sections
findSections( inputFile );
- std::string line, aux;
+ std::string line;
+ std::string aux;
std::istringstream iss;
// parse points section
@@ -66,7 +67,8 @@ public:
// arrays holding the data from the VTK file
std::vector< double > pointsArray;
- std::vector< std::int64_t > cellConnectivityArray, cellOffsetsArray;
+ std::vector< std::int64_t > cellConnectivityArray;
+ std::vector< std::int64_t > cellOffsetsArray;
std::vector< std::uint8_t > typesArray;
// read points
@@ -269,7 +271,8 @@ public:
iss >> aux >> datatype;
// arrays for polyhedral mesh
- std::vector< std::int64_t > faceConnectivityArray, faceOffsetsArray;
+ std::vector< std::int64_t > faceConnectivityArray;
+ std::vector< std::int64_t > faceOffsetsArray;
std::int64_t faceIndex = 0;
// read connectivity
@@ -657,7 +660,8 @@ protected:
int values_per_element = 1;
// additional metadata
- std::string array_name, datatype;
+ std::string array_name;
+ std::string datatype;
if( type == "SCALARS" ) {
// parse the rest of the line: SCALARS <array_name> <datatype>
@@ -760,7 +764,8 @@ protected:
// type: SCALARS, VECTORS, etc.
// datatype: int, float, double
- std::string type, datatype;
+ std::string type;
+ std::string datatype;
// parse the metadata line
std::string line;
diff --git a/src/TNL/Meshes/Writers/PVTIWriter.hpp b/src/TNL/Meshes/Writers/PVTIWriter.hpp
index 211d337c937ec7306673af33ddaadcd06beb0285..6a24705cb12c07a36ab6be40ba749c078c92ed55 100644
--- a/src/TNL/Meshes/Writers/PVTIWriter.hpp
+++ b/src/TNL/Meshes/Writers/PVTIWriter.hpp
@@ -60,7 +60,9 @@ PVTIWriter< Grid >::writeImageData( const Grid& globalGrid, const unsigned Ghost
if( pImageDataOpen )
throw std::logic_error( "The <PImageData> tag is already open." );
- std::stringstream extent, origin, spacing;
+ std::stringstream extent;
+ std::stringstream origin;
+ std::stringstream spacing;
auto dims = globalGrid.getDimensions();
for( int j = 0; j < dims.getSize(); j++ )
diff --git a/src/TNL/Meshes/Writers/VTIWriter.hpp b/src/TNL/Meshes/Writers/VTIWriter.hpp
index 4433f4e3b67ef82c3fee39b63a3c4b3278ca3b82..362e7b24336c77ea51e70d28885f161ed2f60a91 100644
--- a/src/TNL/Meshes/Writers/VTIWriter.hpp
+++ b/src/TNL/Meshes/Writers/VTIWriter.hpp
@@ -62,7 +62,9 @@ VTIWriter< Mesh >::writeImageData( const typename Mesh::PointType& gridOrigin,
if( imageDataOpen )
throw std::logic_error( "The <ImageData> tag is already open." );
- std::stringstream extent, origin, spacing;
+ std::stringstream extent;
+ std::stringstream origin;
+ std::stringstream spacing;
for( int j = 0; j < Mesh::getMeshDimension(); j++ )
extent << begin[ j ] << " " << end[ j ] << " ";
diff --git a/src/TNL/Meshes/Writers/VTUWriter.hpp b/src/TNL/Meshes/Writers/VTUWriter.hpp
index 0ce2910aa1d42e1b996e583ecdee3c629d263222..6a945dc337254f7709312aef1facb9ded115625d 100644
--- a/src/TNL/Meshes/Writers/VTUWriter.hpp
+++ b/src/TNL/Meshes/Writers/VTUWriter.hpp
@@ -67,7 +67,8 @@ VTUWriter< Mesh >::writeEntities( const Mesh& mesh )
// collect all data before writing
using IndexType = typename Mesh::GlobalIndexType;
- std::vector< IndexType > connectivity, offsets;
+ std::vector< IndexType > connectivity;
+ std::vector< IndexType > offsets;
std::vector< std::uint8_t > types;
detail::MeshEntitiesVTUCollector< Mesh, EntityDimension >::exec( mesh, connectivity, offsets, types );
diff --git a/src/TNL/Timer.hpp b/src/TNL/Timer.hpp
index 14fc3202c0b0bcef23826b882409649920628b85..6f62f6eae51941134e5b60589dc3aaf75f64ebaf 100644
--- a/src/TNL/Timer.hpp
+++ b/src/TNL/Timer.hpp
@@ -121,7 +121,8 @@ Timer::durationToDouble( const Duration& duration ) const
inline unsigned long long
Timer::rdtsc() const
{
- unsigned hi, lo;
+ unsigned hi;
+ unsigned lo;
__asm__ __volatile__( "rdtsc" : "=a"( lo ), "=d"( hi ) );
return ( (unsigned long long) lo ) | ( ( (unsigned long long) hi ) << 32 );
}
diff --git a/src/Tools/tnl-decompose-mesh.cpp b/src/Tools/tnl-decompose-mesh.cpp
index 7ab9982ddf338519f15d24b90bb64f3218a717f7..4aad8fc7b67e6e42fd22fac989436993d6c2e88d 100644
--- a/src/Tools/tnl-decompose-mesh.cpp
+++ b/src/Tools/tnl-decompose-mesh.cpp
@@ -321,7 +321,8 @@ decompose_and_save( const Mesh& mesh,
IndexArray seed_to_cell_index( cellsCount );
for( unsigned p = 0; p < nparts; p++ ) {
Index assigned = 0;
- std::set< Index > boundary, ghost_neighbors;
+ std::set< Index > boundary;
+ std::set< Index > ghost_neighbors;
for( Index local_idx = 0; local_idx < cells_counts[ p ]; local_idx++ ) {
const Index global_idx = cells_local_to_global[ cells_offsets[ p ] + local_idx ];
const auto& cell = mesh.template getEntity< typename Mesh::Cell >( global_idx );
@@ -519,7 +520,8 @@ decompose_and_save( const Mesh& mesh,
seeds_global_indices.shrink_to_fit();
// create "vtkGhostType" CellData and PointData arrays - see https://blog.kitware.com/ghost-and-blanking-visibility-changes/
- Containers::Array< std::uint8_t, Devices::Sequential, Index > cellGhosts( seeds.size() ), pointGhosts( points.getSize() );
+ Containers::Array< std::uint8_t, Devices::Sequential, Index > cellGhosts( seeds.size() );
+ Containers::Array< std::uint8_t, Devices::Sequential, Index > pointGhosts( points.getSize() );
for( Index i = 0; i < cells_counts[ p ]; i++ )
cellGhosts[ i ] = 0;
for( Index i = cells_counts[ p ]; i < (Index) seeds.size(); i++ )
@@ -619,7 +621,8 @@ void run( const Mesh& mesh, const Config::ParameterContainer& parameters )
// get the mesh connectivity information in a format suitable for METIS. Actually, the same
// format is used by the XML-based VTK formats - the only difference is that METIS requires
// `offsets` to start with 0.
- std::vector< idx_t > connectivity, offsets;
+ std::vector< idx_t > connectivity;
+ std::vector< idx_t > offsets;
offsets.push_back(0);
const Index cellsCount = mesh.template getEntitiesCount< typename Mesh::Cell >();
for( Index i = 0; i < cellsCount; i++ ) {