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F modifier(Float x) -> Float
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R I x < 0.5 {2 * (.5 - x)} E 2 * (x - .5)
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F modified_random_distribution((Float -> Float) modifier, Int n) -> [Float]
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[Float] d
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L d.len < n
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V prob = random:()
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I random:() < modifier(prob)
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d.append(prob)
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R d
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V data = modified_random_distribution(modifier, 50'000)
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V bins = 15
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DefaultDict[Int, Int] counts
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L(d) data
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counts[d I/ (1 / bins)]++
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V mx = max(counts.values())
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print(" BIN, COUNTS, DELTA: HISTOGRAM\n")
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Float? last
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L(b, count) sorted(counts.items())
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V delta = I last == N {‘N/A’} E String(count - last)
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print(‘ #2.2, #4, #4: ’.format(Float(b) / bins, count, delta)‘’(‘#’ * Int(40 * count / mx)))
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last = count
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