Comments (6)
Note that using Vector
for an argument type is also probably overtyped; you probably want AbstractVector
.
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Also ::Int
is overtyped; you want ::Integer
(if you want to declare a type at all). In general, the Julian approach is to make your code as generic as possible, within the bounds of correctness and clarity.
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Those are all really good points. I would like to see these changes as well.
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Fixed with 838e072, hopefully I didn't miss a spot. Sorry for these bugs, this package was written two years ago when I had little clue about Julia (REQUIRE still contains Julia 0.2:-)). I also pushed a v0.0.5 tag.
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So because we have to update METADATA anyway it's a good moment to move the package to JuliaDiffEq before doing that.
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Thanks! (Note, by the way, that most Julia developers seem to be moving away from FactCheck and back to Base.Test
, now that the latter has @testset
; Base.Test has all of the functionality of FactCheck with a much more Julian syntax.)
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Related Issues (15)
- Travis Clang? HOT 2
- Enable AppVeyor Testing
- Common API
- Move the interpolating polynomials to a separate package HOT 6
- Example is failed HOT 2
- Register 2.4.0 HOT 9
- Improve efficiency HOT 3
- [PackageEvaluator.jl] Your package DASSL may have a testing issue. HOT 1
- TagBot trigger issue HOT 2
- Fix MAXORDER=3
- Pass in exact Jacobian HOT 8
- van der Pol equation HOT 4
- convergence tests fails HOT 6
- Move to JuliaDiffEq? HOT 1
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