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# file spec/libs/lottery_spec.rb | |
require 'spec_helper' | |
RSpec.describe 'lib/lottery' do | |
describe 'Lottery.pick' do | |
let(:characters) { create_list(:character, 2) } | |
let(:num_samples) { 10000 } | |
subject do | |
num_chosen = 0 | |
num_samples.times do | |
num_chosen += 1 if Lottery.pick(characters) == characters.first | |
end | |
{ num_chosen: num_chosen, real_probability: Lottery.probabilities(characters).first } | |
end | |
it 'returns a model with probability within the tolerance interval' do | |
n = num_samples | |
p = subject[:real_probability] | |
q = 1.0 - p | |
# 3.89 = inverse of normal distribution function with alpha=0.9999 | |
expect(subject[:num_chosen]).to( | |
be_within( 3.89 * Math.sqrt(n * p * q) ).of(n * p), | |
'this test will fail once in 10000 times. don\'t freak out if it does, you\'re lucky :)') | |
end | |
end | |
end | |
# file lib/lottery.rb | |
class Lottery | |
def self.pick(models, weight_key = :weight) | |
weight_total = models.to_a.sum(&weight_key) | |
random_number = rand(0...weight_total) | |
sum = 0 | |
models.each do |model| | |
return model if random_number < sum += model[weight_key] | |
end | |
end | |
def self.probabilities(models, weight_key = :weight) | |
weight_total = models.to_a.sum(&weight_key) | |
models.map { |model| model[weight_key].to_f / weight_total.to_f } | |
end | |
end |
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