atleast_Nd should only accept one positional argument

[ricardoV94]

If you call atleast_Nd(x, 1) it will treat 1 as an array. This was very surprising, if someone wants to call it on multiple arrays they can use a loop.

pytensor/pytensor/tensor/basic.py

Lines 4348 to 4370 in 601658d

	def atleast_Nd(
	*arys: np.ndarray | TensorVariable, n: int = 1, left: bool = True
	) -> TensorVariable:
	"""Convert inputs to arrays with at least `n` dimensions."""
	res = []
	for ary in arys:
	ary = as_tensor(ary)
	if ary.ndim >= n:
	result = ary
	else:
	result = (
	shape_padleft(ary, n - ary.ndim)
	if left
	else shape_padright(ary, n - ary.ndim)
	)
	res.append(result)
	if len(res) == 1:
	return res[0]
	else:
	return res