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exercism fetch sml perfect-numbers

Perfect Numbers

Determine if a number is perfect, abundant, or deficient based on Nicomachus' (60 - 120 CE) classification scheme for natural numbers.

The Greek mathematician Nicomachus devised a classification scheme for natural numbers, identifying each as belonging uniquely to the categories of perfect, abundant, or deficient based on their aliquot sum. The aliquot sum is defined as the sum of the factors of a number not including the number itself. For example, the aliquot sum of 15 is (1 + 3 + 5) = 9

Implement the classify function, it should return one of Abundant, Deficient or Perfect. If the input param is not a positive integer, raise the exception NotAPositiveInteger.

Loading your exercise implementation in PolyML

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$ poly --use {exercise}.sml

Or:

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$ poly
> use "{exercise}.sml";

Note: You have to replace {exercise}.

Running the tests

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$ poly -q --use test.sml

Feedback, Issues, Pull Requests

The exercism/sml repository on GitHub is the home for all of the Standard ML exercises.

If you have feedback about an exercise, or want to help implementing a new one, head over there and create an issue. We'll do our best to help you!

Source

Taken from Chapter 2 of Functional Thinking by Neal Ford. http://shop.oreilly.com/product/0636920029687.do

Submitting Incomplete Solutions

It's possible to submit an incomplete solution so you can see how others have completed the exercise.