STY: apply clang format

Modules/Applications/AppSegmentation/app/otbHooverCompareSegmentation.cxx

@@ -125,7 +125,7 @@ public:
   typedef HooverMatrixFilterType::MatrixType MatrixType;
 
   typedef otb::HooverInstanceFilter<LabelMapType> InstanceFilterType;
-  typedef otb::LabelMapToAttributeImageFilter<LabelMapType, FloatVectorImageType>              AttributeImageFilterType;
+  typedef otb::LabelMapToAttributeImageFilter<LabelMapType, FloatVectorImageType>             AttributeImageFilterType;
   typedef otb::FunctorImageFilter<Functor::HooverColorMapping<FloatPixelType, Int16PixelType>> HooverColorFilterType;
 
 private:

Modules/Filtering/Statistics/include/otbHistogramStatisticsFunction.h

@@ -50,8 +50,8 @@ public:
   typedef itk::SmartPointer<Self>                      Pointer;
   typedef itk::SmartPointer<const Self>                ConstPointer;
 
-  typedef typename TInputHistogram::MeasurementType MeasurementType;
-  typedef typename TInputHistogram::AbsoluteFrequencyType FrequencyType; // FIXME several possibilities in the new framework
+  typedef typename TInputHistogram::MeasurementType              MeasurementType;
+  typedef typename TInputHistogram::AbsoluteFrequencyType        FrequencyType; // FIXME several possibilities in the new framework
   typedef typename itk::NumericTraits<MeasurementType>::RealType RealType;
 
   /**Standard Macros */

Modules/Hyperspectral/AnomalyDetection/include/otbLocalRxDetectorFilter.h

@@ -48,11 +48,11 @@ class LocalRxDetectionFunctor
 public:
   /** typedef */
   typedef typename itk::Neighborhood<itk::VariableLengthVector<TInput>>::OffsetType OffsetType;
-  typedef typename itk::VariableLengthVector<TInput>                                VectorMeasurementType;
-  typedef itk::Statistics::ListSample<VectorMeasurementType>                        ListSampleType;
-  typedef itk::Statistics::CovarianceSampleFilter<ListSampleType>                   CovarianceCalculatorType;
-  typedef typename CovarianceCalculatorType::MeasurementVectorRealType              MeasurementVectorRealType;
-  typedef typename CovarianceCalculatorType::MatrixType                             MatrixType;
+  typedef typename itk::VariableLengthVector<TInput>                               VectorMeasurementType;
+  typedef itk::Statistics::ListSample<VectorMeasurementType>                       ListSampleType;
+  typedef itk::Statistics::CovarianceSampleFilter<ListSampleType>                  CovarianceCalculatorType;
+  typedef typename CovarianceCalculatorType::MeasurementVectorRealType             MeasurementVectorRealType;
+  typedef typename CovarianceCalculatorType::MatrixType                            MatrixType;
 
 private:
   // Internal radius along the X axis

Modules/Learning/Sampling/include/otbSampleAugmentation.h

@@ -111,7 +111,7 @@ void JitterSamples(const SampleVectorType& inSamples, const size_t nbSamples, Sa
   std::srand(seed);
   // We use one gaussian distribution per component since they may
   // have different stds
-  auto                                          stds = EstimateStds(inSamples);
+  auto                                         stds = EstimateStds(inSamples);
   std::vector<std::normal_distribution<double>> gaussDis(nbComponents);
 #ifdef _OPENMP
 #pragma omp parallel for

Modules/Learning/Supervised/include/otbNeuralNetworkMachineLearningModel.h

@@ -200,15 +200,15 @@ private:
   int                       m_ActivateFunction;
   std::vector<unsigned int> m_LayerSizes;
 
-  double                    m_Alpha;
-  double                    m_Beta;
-  double                    m_BackPropDWScale;
-  double                    m_BackPropMomentScale;
-  double                    m_RegPropDW0;
-  double                    m_RegPropDWMin;
-  int                       m_TermCriteriaType;
-  int                       m_MaxIter;
-  double                    m_Epsilon;
+  double m_Alpha;
+  double m_Beta;
+  double m_BackPropDWScale;
+  double m_BackPropMomentScale;
+  double m_RegPropDW0;
+  double m_RegPropDWMin;
+  int    m_TermCriteriaType;
+  int    m_MaxIter;
+  double m_Epsilon;
 
   cv::Mat            m_MatrixOfLabels;
   MapOfLabelsType    m_MapOfLabels;