Merge branch 'developer' of github.com:slsdetectorgroup/aare into developer

docs/CMakeLists.txt

@@ -35,6 +35,7 @@ file(GLOB SPHINX_SOURCE_FILES CONFIGURE_DEPENDS "src/*.rst")
 #   src/pyRawMasterFile.rst
 # )
 
+
 foreach(filename ${SPHINX_SOURCE_FILES})
     get_filename_component(fname ${filename} NAME)
     message(STATUS "Copying ${filename} to ${SPHINX_BUILD}/src/${fname}")

docs/src/index.rst

@@ -14,6 +14,7 @@ AARE
     Requirements
 
 
+
 .. toctree::
     :caption: Python API
     :maxdepth: 1

include/aare/NDArray.hpp

@@ -21,6 +21,7 @@ TODO! Add expression templates for operators
 
 namespace aare {
 
+
 template <typename T, int64_t Ndim = 2>
 class NDArray : public ArrayExpr<NDArray<T, Ndim>, Ndim> {
     std::array<int64_t, Ndim> shape_;
@@ -47,6 +48,7 @@ class NDArray : public ArrayExpr<NDArray<T, Ndim>, Ndim> {
                                 std::multiplies<>())),
           data_(new T[size_]) {}
 
+
     /**
      * @brief Construct a new NDArray object with a shape and value.
      *
@@ -72,6 +74,7 @@ class NDArray : public ArrayExpr<NDArray<T, Ndim>, Ndim> {
         : shape_(other.shape_), strides_(c_strides<Ndim>(shape_)),
           size_(other.size_), data_(other.data_) {
         other.reset(); // TODO! is this necessary?
+
     }
 
     // Copy constructor

src/NDArray.test.cpp

@@ -203,6 +203,7 @@ TEST_CASE("Bitwise and on data") {
     REQUIRE(a(2) == 384);
 }
 
+
 TEST_CASE("Elementwise operations on images") {
     std::array<int64_t, 2> shape{5, 5};
     double a_val = 3.0;