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          April 11, 2024 04:02 
        
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    strategy tutorial
  
        
  
    
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  | class BaseContext | |
| attr_accessor :strategy | |
| def initialize(strategy) | |
| @strategy = strategy | |
| end | |
| def execute(*args) | |
| @strategy.new.execute(*args).round(2) | |
| end | |
| end | |
| class AverageStrategy | |
| def execute(grades) | |
| grades.sum(0.0) / grades.size | |
| end | |
| end | |
| class WeightedStrategy | |
| WEIGHTS = [0.1, 0.1, 0.2, 0.3, 0.3] | |
| def execute(grades) | |
| [grades, WEIGHTS].transpose.map { |weight_and_grade| weight_and_grade.inject(:*) }.sum | |
| end | |
| end | |
| class AllButLowerStrategy | |
| def execute(grades) | |
| AverageStrategy.new.execute(grades.max(grades.size - 1)) | |
| end | |
| end | |
| class HighestPairStrategy | |
| def execute(grades) | |
| AverageStrategy.new.execute(grades.max(2)) | |
| end | |
| end | |
| rand_grades = ->(num_grades) { num_grades.times.map { (rand * 100).round(2) } } | |
| dataset = { | |
| paul: rand_grades.call(5), | |
| duncan: rand_grades.call(5), | |
| leto: rand_grades.call(5), | |
| wang_miao: rand_grades.call(5), | |
| da_shi: rand_grades.call(5), | |
| luo_ji: rand_grades.call(5) | |
| } | |
| apply_strategy = ->(dataset, context) { dataset.to_h { |student, grades| [student, context.execute(grades)] } } | |
| context = BaseContext.new(AverageStrategy) | |
| strategies = [WeightedStrategy, AllButLowerStrategy, HighestPairStrategy] | |
| answer_matrix = { "AverageStrategy" => apply_strategy.call(dataset, context) } | |
| strategies.map do |next_strategy| | |
| context.strategy = next_strategy | |
| answer_matrix[next_strategy.to_s] = apply_strategy.call(dataset, context) | |
| end | |
| ap dataset | |
| ap answer_matrix | |
| answer_matrix.each do |strategy, data| | |
| ap "#{strategy} - Passing grades: #{data.select { |_student, grade| grade >= 60.0 }}" | |
| end | 
  
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