def METHOD_NAME(fgraph, node):
    """Replace `MakeVector` and `DimShuffle` (when used to transform a scalar
    into a 1d vector) when they are found as the input of a `size` or `shape`
    parameter by `JAXShapeTuple` during transpilation.
    The JAX implementations of `MakeVector` and `DimShuffle` always return JAX
    `TracedArrays`, but JAX only accepts concrete values as inputs for the `size`
    or `shape` parameter. When these `Op`s are used to convert scalar or tuple
    inputs, however, we can avoid tracing by making them return a tuple of their
    inputs instead.
    Note that JAX does not accept scalar inputs for the `size` or `shape`
    parameters, and this rewrite also ensures that scalar inputs are turned into
    tuples during transpilation.
    """
    from pytensor.link.jax.dispatch.shape import JAXShapeTuple
    size_arg = node.inputs[1]
    size_node = size_arg.owner
    if size_node is None:
        return
    if isinstance(size_node.op, JAXShapeTuple):
        return
    if isinstance(size_node.op, MakeVector) or (
        isinstance(size_node.op, DimShuffle)
        and size_node.op.input_broadcastable == ()
        and size_node.op.new_order == ("x",)
    ):
        # Here PyTensor converted a tuple or list to a tensor
        new_size_args = JAXShapeTuple()(*size_node.inputs)
        new_inputs = list(node.inputs)
        new_inputs[1] = new_size_args
        new_node = node.clone_with_new_inputs(new_inputs)
        return new_node.outputs