I have isolated a tricky numerical corner case for a package using randomly generated values. I tracked down the problem and fixed it, but want to add it to the tests too so that it does not happen again even if I refactor etc. What are the best practices for adding array constants, eg a Float64 ma…

[image] Tamas_Papp: I could just add it on a single line, eg a 20x20 matrix becomes 8k character beast Honestly, I would just copy/paste the matrix directly to the file, it is not too big. You just need to make sure that the decimals match exactly those stored in memory, and are not those ro…

I would serialize the matrix using the Serialization stdlib and keep the file along the test suite. It is a standard library, and it stores the exact values of the floating-point numbers. Moreover, the API is the simplest possible: using Serialization M_ = deserialize("matrix.bin") The format is g…

That gives me an idea… I realized I could just base64 encode the serialized format and have it locally in the code. [image] Way to "encode" an object? New to Julia If you want a string output, just combine the previously mentioned serialization with base64 encoding. juli…

Hi Tamas, If the dataset grows in size, there are a few packages meant to help supply larger data for testing. They include Downloads.jl, RemoteFiles.jl, DataDeps.jl, and Artifacts.jl. I feel like I’m forgetting one. The general idea is that your data has to be somewhere it can be publicly download…

Good practices for numerical array constants in tests

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Tamas_Papp March 28, 2025, 11:12am 4

That gives me an idea… I realized I could just base64 encode the serialized format and have it locally in the code.

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Good practices for numerical array constants in tests

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