Closed caiostringari closed 6 years ago
Hi Caio,
It has been a while! Thanks for contributing again to the oceanwaves toolbox.
There are still some issues with this pull request. See the test results at CircleCI.
You assume that the input parameters are numpy arrays, but that is often not the case. They are usually simple floats. Therefore your construct with param.astype(...) doesn't work. See also the inline docs of the jonswap spectrum.
I think we can make this function accept numpy arrays, but there should be some check on the input being an array. Can you add that in order to make the tests succeed?
And can you add a test in tests/test_spectral.py that fails without your modification and succeeds with your modification, including a one line description?
And if all tests are successful, can you add a line to docs/whatsnew.rst under unreleased -> bug fixes describing your fix and acknowledging yourself?
Thanks a lot, Bas
Hi Bas,
I will have a deeper look at this issue some point this week. It seemed to work fine on my won built when I tested it last Friday. I did not realize that there was automatic testing, awesome btw! I am working on some SWASH simulations that may use hundreds of parametric spectrum as input, so need JONSWAP to work with arrays.
Cheers,
Caio
Merging #19 into master will decrease coverage by
0.44%
. The diff coverage is60.71%
.
@@ Coverage Diff @@
## master #19 +/- ##
==========================================
- Coverage 76.97% 76.53% -0.45%
==========================================
Files 9 9
Lines 1164 1189 +25
Branches 239 248 +9
==========================================
+ Hits 896 910 +14
- Misses 163 168 +5
- Partials 105 111 +6
Impacted Files | Coverage Δ | |
---|---|---|
oceanwaves/spectral.py | 81.03% <60.71%> (-18.97%) |
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Hi Bas,
I update the code and all the tests passed. I am not sure if I followed all the procedures correctly, I've never used these tools before.
Cheers,
Caio
Promote input parameters dtypes to avoid ValueError: Integers to negative integer powers are not allowed.
This bug seems to be caused when you do something like this:
Hs = np.arange(1,10,1)
E = jonswap(f, Hs[0], Tp)