Multiple Seasonal Indices

Problem

Combine two seasonal index vectors multiplicatively: return indices1[t % len(indices1)] * indices2[t % len(indices2)].

Return 0.0 if either vector is empty or t is negative. This models two overlapping calendar effects, such as weekly and annual cycles.

Hint

Take each index modulo its own cycle length before multiplying.

case 1

in: [[0.9,1.1,1],[1.2,0.8],4]

expected: 1.32

case 2

in: [[0.9,1.1,1],[1.2,0.8],0]

expected: 1.08

case 3

in: [[1.5],[2,0.5],5]

expected: 0.75

case 4

in: [[],[1],0]

expected: 0

Starter codePython

def multiple_seasonal_indices(indices1, indices2, t):
    # Your code here
    pass

4 test cases · run your code against them in the editor