Multiply matrix by vector row-wise

How can I multiply a matrix and a vector "row-wise" in nalgebra? Like I would do in numpy

>>> m = np.eye(3)
>>> v = np.array([1, 2, 3])
>>> m * v # Or v * m
# Gives [[1, 0, 0],
# [0, 2, 0],
# [0, 0, 3]]

I understand that I can convert my vector into a square matrix, then use `*` (or `dot`) or code a generic function that does this task but multiplying each row with a number will be faster.

I thought there would be be a method/operator that does it, so I asked this question on the r/rust "simple question" post and on [SO](https://stackoverflow.com/questions/77888714/multiply-matrix-by-vector-row-wise). It seems that such a method doesn't exist. Can you please confirm?

Moreover, if this is right, should we add this method, and what would be its name?