Mutation Apply Seeded

Problem

Apply Gaussian mutation to an individual with a fixed seed.

After random.seed(seed), for each gene draw random.random(): if it is below rate, add random.gauss(0.0, sigma) to the gene, otherwise keep it. Return the mutated list.

Hint

Decide the mutation first; only mutated genes consume a Gaussian draw.

Test cases

case 1

in: [[1,2,3],0.5,0.1,0]

expected: [1,2,2.993299348427094]

case 2

in: [[0,0],1,0.2,7]

expected: [0.1693037251631145,0.2356605569278974]

case 3

in: [[-1,1],0,1,3]

expected: [-1,1]

Starter codePython

def mutation_apply(individual, rate, sigma, seed):
    # Your code here
    pass

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