fix clang warning

src/operator/ArithmeticOperator.cpp

@@ -21,7 +21,7 @@
 
 void Aidge::ArithmeticOperator::associateInput(const Aidge::IOIndex_t inputIdx, const std::shared_ptr<Aidge::Data>& data) {
     if (inputIdx >= 2) {
-        AIDGE_THROW_OR_ABORT(std::runtime_error, "%s Operator has %hu inputs", type().c_str(),2);
+        AIDGE_THROW_OR_ABORT(std::runtime_error, "%s Operator has 2 inputs", type().c_str());
     }
     if (strcmp((data)->type(), Tensor::Type) != 0) {
         AIDGE_THROW_OR_ABORT(std::runtime_error, "Input data must be of Tensor type");
@@ -55,7 +55,7 @@ void Aidge::ArithmeticOperator::setInput(const Aidge::IOIndex_t inputIdx, std::s
 
 const std::shared_ptr<Aidge::Tensor>& Aidge::ArithmeticOperator::getInput(const Aidge::IOIndex_t inputIdx) const {
     if (inputIdx >= nbInputs()) {
-        AIDGE_THROW_OR_ABORT(std::runtime_error, "%s Operator has %hu inputs", type().c_str(), nbInputs());
+        AIDGE_THROW_OR_ABORT(std::runtime_error, "%s Operator has 2 inputs", type().c_str());
     }
     return mInputs[inputIdx];
 }
@@ -65,7 +65,7 @@ void Aidge::ArithmeticOperator::setOutput(const Aidge::IOIndex_t outputIdx, cons
         AIDGE_THROW_OR_ABORT(std::runtime_error, "%s Operator only accepts Tensors as inputs", type().c_str());
     }
     if (outputIdx >= nbOutputs()) {
-        AIDGE_THROW_OR_ABORT(std::runtime_error, "%s Operator has %hu outputs", type().c_str(), nbOutputs());
+        AIDGE_THROW_OR_ABORT(std::runtime_error, "%s Operator has 1 outputs", type().c_str());
     }
     *mOutputs[outputIdx] = *std::dynamic_pointer_cast<Tensor>(data);
 }
@@ -75,14 +75,14 @@ void Aidge::ArithmeticOperator::setOutput(const Aidge::IOIndex_t outputIdx, std:
         AIDGE_THROW_OR_ABORT(std::runtime_error, "%s Operator only accepts Tensors as inputs", type().c_str());
     }
     if (outputIdx >= nbOutputs()) {
-        AIDGE_THROW_OR_ABORT(std::runtime_error, "%s Operator has %hu outputs", type().c_str(), nbOutputs());
+        AIDGE_THROW_OR_ABORT(std::runtime_error, "%s Operator has 1 output", type().c_str());
     }
     *mOutputs[outputIdx] = std::move(*std::dynamic_pointer_cast<Tensor>(data));
 }
 
 const std::shared_ptr<Aidge::Tensor>& Aidge::ArithmeticOperator::getOutput(const Aidge::IOIndex_t outputIdx) const {
     if (outputIdx >= nbOutputs()) {
-        AIDGE_THROW_OR_ABORT(std::runtime_error, "%s Operator has %hu outputs", type().c_str(), nbOutputs());
+        AIDGE_THROW_OR_ABORT(std::runtime_error, "%s Operator has 1 output", type().c_str());
     }
     return mOutputs[outputIdx];
 }