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  1. def count(beta, m, a0, n)
  2.   f = lambda { |x| (beta * x) % m }
  3.  
  4.   ar = [a0]
  5.   (n - 1).times { ar << f(ar.last) }
  6.  
  7.   m = ar.inject(0, :+) / n.to_f
  8.   d = ar.inject(0) { |r, e| r + (e - m) ** 2 } / (n - 1)
  9.   [m, d]
  10. end
  11.  
  12. beta, m, a0, n = (1..4).map { gets.to_i }
  13.  
  14. m, d = count(beta, m, a0, n)
  15.  
  16. puts "average: #{m}"
  17. puts "dispersion: #{d}"
Success #stdin #stdout 0s 4760KB
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Standard input is empty
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average: NaN
dispersion: NaN
https://ideone.com/23SVw
language:
Ruby (ruby 2.5.5)
created:
14 years ago
visibility:
public

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