Write a function that receives a vector (in the form of a tuple) of floats and a matrix of floats , and returns the product of the vector by the matrix. The matrix is represented as a tuple of rows, each row being, in turn, a tuple of floats. We are guaranteed that the length of is not zero and that it equals the lengths of all the columns of . The returned vector is to be a tuple of the same length as the rows of , which is also guaranteed to be nonzero.
Solutions that return other iterable types instead of tuples are vey likely to be accepted as well.
>>> v_times_m( (1.5, 2.5), ((10.5, 20.0, 30.0), (110.0, 120.0, 130.0)) ) (290.75, 330.0, 370.0) >>> v_times_m( (5.0, 4.0, 3.0, 2.0), ((1.0, 2.0), (10.0, 15.0), (20.0, 25.0), (30.0, 35.0)) ) (165.0, 215.0)