Uniform Distribution Entropy

Problem

Compute the entropy in bits of a uniform distribution over n equally likely outcomes:

H = log2(n)

Return 0.0 for n <= 1.

Hint

The uniform distribution maximizes entropy over a fixed support.

case 1

in: [1]

expected: 0

case 2

in: [2]

expected: 1

case 3

in: [8]

expected: 3

case 4

in: [10]

expected: 3.321928094887362

Starter codePython

import math
def uniform_entropy(n):
    # Your code here
    pass

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