[Add] broadcasting for Arithmetic Operators

This merge request is dedicated to enabling broadcasting on binary operators (Add, Mul, Div, Sub, Pow). The expected behaviour is the same as numpy

Here are examples of supported broadcasting

Tensor_A shape	3	2	1	3
Tensor_B shape	1	2	4	3
Output shape	3	2	4	3

Tensor_A shape	3	2	1	3
Tensor_C shape				3
Output shape	3	2	1	3

python_binding/operator/pybind_ArithmeticOperator.cpp

+/********************************************************************************
+ * Copyright (c) 2024 CEA-List
+ *
+ * This program and the accompanying materials are made available under the
+ * terms of the Eclipse Public License 2.0 which is available at
+ * http://www.eclipse.org/legal/epl-2.0.
+ *
+ * SPDX-License-Identifier: EPL-2.0
+ *
+ ********************************************************************************/
+
+#include <pybind11/pybind11.h>
+#include "aidge/backend/OperatorImpl.hpp"
+#include "aidge/operator/ArithmeticOperator.hpp"
+#include "aidge/operator/Operator.hpp"
+#include <pybind11/stl.h>
+
+namespace py = pybind11;
+namespace Aidge {
+void init_ArithmeticOperator(py::module& m){
+    py::class_<ArithmeticOperator, std::shared_ptr<ArithmeticOperator>, Operator>(m, "ArithmeticOperator")
+    .def("get_output", &ArithmeticOperator::getOutput, py::arg("outputIdx"))
+    .def("get_input", &ArithmeticOperator::getInput, py::arg("inputIdx"))
+    .def("output_dims_forwarded", &ArithmeticOperator::outputDimsForwarded)
+    ;
+}
+}