Arbitrary instances

[CAIMEOX]

This PR implements trait Arbitrary for most datatypes in core

[coderabbitai[bot]]

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[coveralls]

Pull Request Test Coverage Report for Build 3153

Details

• 0 of 49 (0.0%) changed or added relevant lines in 22 files are covered.
• No unchanged relevant lines lost coverage.
• Overall coverage remained the same at 0.0%

---

Changes Missing Coverage	Covered Lines	Changed/Added Lines	%
hashset/hashset.mbt	0	1	0.0%
immut/array/array.mbt	0	1	0.0%
immut/hashmap/HAMT.mbt	0	1	0.0%
immut/hashset/HAMT.mbt	0	1	0.0%
immut/list/list.mbt	0	1	0.0%
immut/priority_queue/priority_queue.mbt	0	1	0.0%
immut/sorted_map/map.mbt	0	1	0.0%
immut/sorted_set/immutable_set.mbt	0	1	0.0%
queue/queue.mbt	0	1	0.0%
ref/ref.mbt	0	1	0.0%
<!--	Total:	0	49

Totals
Change from base Build 3151:	0.0%
Covered Lines:	0
Relevant Lines:	4815

---

💛 - Coveralls

[bobzhang]

@CAIMEOX can you try to revive this PR so that we can investigate further?

[CAIMEOX]

@CAIMEOX can you try to revive this PR so that we can investigate further?

yes, I will complete today

[peter-jerry-ye-code-review[bot]]

Here are three potential issues I observed from the git diff output:

1. Potential Division by Zero in Arbitrary Implementation for Rational Numbers

   • In the rational/rational.mbt file, the implementation of the @quickcheck.Arbitrary trait for T (presumably a Rational number type) generates a denominator that could be zero:

     let denominator : Int64 = {
       let d : Int64 = @quickcheck.Arbitrary::arbitrary(size, rs)
       if d == 0 {
         1
       } else {
         d
       }
     }
     

   • While the code explicitly checks for zero and assigns 1 instead, this might be a place to ensure consistent behavior across different implementations or to add comments explaining why zero is avoided.

2. Potential Infinite Loop in Arbitrary Implementation for Iterators

   • In the quickcheck/arbitrary.mbt file, the implementation of the Arbitrary trait for Iter[X] contains a comment suggesting a potential infinite loop:

     for i = 0; i < len; i = i + 1 {
       if yield(X::arbitrary(i, rs)) == IterEnd {
         break IterEnd
       }
     } else {
       IterContinue
     }
     

   • The comment // inspect!(samples[9], content="[0, 0, 0, 1, 2, -2]") (Cause infinite loop?) indicates a concern about an infinite loop. Ensure that the yield function correctly handles stopping conditions to avoid infinite loops during testing.

3. Potential Overlooked Error Handling in Arbitrary Implementation for Results

   • In the result/result.mbt file, the implementation of the @quickcheck.Arbitrary trait for Result[T, E] uses a boolean to decide between Ok and Err:

     if @quickcheck.Arbitrary::arbitrary(size, rs) {
       Ok(T::arbitrary(size, rs))
     } else {
       Err(E::arbitrary(size, rs))
     }
     

   • The use of a boolean for such a decision might not fully explore the error space, as it only provides a 50/50 chance for Err. Consider using a more nuanced approach, such as a probability distribution, to better exercise both branches of the Result type during testing.

These observations highlight areas where additional checks, comments, or adjustments might improve the robustness and clarity of the code, especially in the context of generating arbitrary data for testing purposes.