Closed uekerman closed 1 year ago
ok - I started converting stuff to Julia.
I cannot get a floating point assertion to fail :-D maybe you are more lucky than I am. I did use the one you proposed in python... :shrug:
I did not implement a regression test - I dont really got the idea I think. In what way is this better than hardcoding an expected value + generating a random number stream with a StableRNG
?
Didnt yet go for coverage, maybe you can have a look
Didnt go through the exercise yet
PS: Corona in the house - let's see when I can work on it again :D
Let's try to put all lecture content into one slides.md
similar to #13
Let's drop coverage, we anyway have to shorten things. Will come with PkgTemplates.jl
.
I added the MyStatsPackage, I didnt want to copy my function so I import it with a relative path which resides outside of the package, which is really bad style because it requires the MyStatsPackage to stay exactly where it is in terms of absolute paths. But if you keep that in mind you should be fine ;)
For your tests just copy it to ./MyStatsPackage/src/statistics.jl
Demo should be ready, only open TODO is the exercise.
Ready for review / merge from my side.
intro_slides.md
is kind of ready to use, but we could probably shorten it.python_testing_*.md
is material (slides, demo, exercise), we used in the SSE lecture. Sth like this, we would need for Julia and our stats example.