Perplexity of Uniform Distribution

Problem

Return the perplexity of a uniform distribution over vocab_size outcomes, which equals the vocabulary size itself as a float: 2^(log2(V)) = V.

Hint

A uniform model is maximally uncertain, so its perplexity is the whole vocabulary.

case 1

in: [2]

expected: 2

case 2

in: [10]

expected: 10

case 3

in: [1]

expected: 1

case 4

in: [32000]

expected: 32000

Starter codePython

def uniform_perplexity(vocab_size):
    # Your code here
    pass

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