chore: Format files

src/operator/Stack.cpp

@@ -22,6 +22,8 @@
 
 namespace Aidge {
 
+// TODO: Check why getRequiredMemory is always called with empty vector as
+// inputSize
 Aidge::Elts_t Aidge::StackProdConso::getRequiredMemory(
     const Aidge::IOIndex_t inputIdx,
     const std::vector<DimSize_t> &inputsSize) const {
@@ -39,7 +41,8 @@ void StackOpImpl::forward() {
     const StackOp &op = dynamic_cast<const StackOp &>(mOp);
     AIDGE_ASSERT(op.getInput(0), "missing input #0");
     AIDGE_ASSERT((op.forwardStep() < op.maxElements()),
-                 "cannot forward anymore, maximum number of elements to stack exceeded");
+                 "cannot forward anymore, maximum number of elements to stack "
+                 "exceeded");
 
     op.getOutput(0)->getImpl()->copy(
         op.getInput(0)->getImpl()->rawPtr(),
@@ -53,7 +56,9 @@ StackOp::StackOp(std::uint32_t maxElements)
           attr<StackAttr::MaxElements>(maxElements),
           attr<StackAttr::ForwardStep>(0))) {
     if (maxElements == 0) {
-        AIDGE_THROW_OR_ABORT(std::invalid_argument, "StackOp creation failed: maxElements must be greater than 0.");
+        AIDGE_THROW_OR_ABORT(
+            std::invalid_argument,
+            "StackOp creation failed: maxElements must be greater than 0.");
     }
     mImpl = std::make_shared<StackOpImpl>(*this);
 }

unit_tests/operator/Test_StackImpl.cpp

@@ -140,7 +140,8 @@ TEST_CASE("[core/operator] Stack(forward)", "[Stack]") {
         for (std::size_t i = 0; i < numTensors; ++i) {
             Tensor outputTensor = output->extract(
                 {static_cast<std::uint64_t>(static_cast<int>(i))});
-            Tensor inputTensor(DataType::Float32); inputTensor.resize(dimsIn);
+            Tensor inputTensor(DataType::Float32);
+            inputTensor.resize(dimsIn);
             inputTensor.setBackend("cpu");
             inputTensor.getImpl()->setRawPtr(arrays[i], nbElems);
 
@@ -152,16 +153,14 @@ TEST_CASE("[core/operator] Stack(forward)", "[Stack]") {
         extraTensor->resize(dimsIn);
         extraTensor->setBackend("cpu");
         extraTensor->setDataType(DataType::Float32);
-        float* extraArray = new float[nbElems];
+        float *extraArray = new float[nbElems];
         for (std::size_t j = 0; j < nbElems; ++j) {
             extraArray[j] = valueDist(gen);
         }
         extraTensor->getImpl()->setRawPtr(extraArray, nbElems);
 
-        REQUIRE_THROWS_AS(
-            (op->associateInput(0, extraTensor), op->forward()),
-            std::runtime_error
-        );
+        REQUIRE_THROWS_AS((op->associateInput(0, extraTensor), op->forward()),
+                          std::runtime_error);
 
         // Clean up
         delete[] extraArray;