Closed ThomasPluck closed 11 months ago
Merging #170 (c2d5f3e) into main (5c0daad) will increase coverage by
0.01%
. The diff coverage is95.68%
.
@@ Coverage Diff @@
## main #170 +/- ##
==========================================
+ Coverage 87.20% 87.22% +0.01%
==========================================
Files 109 109
Lines 9577 9678 +101
==========================================
+ Hits 8352 8442 +90
- Misses 1225 1236 +11
Files Changed | Coverage Δ | |
---|---|---|
hdl21/prefix.py | 95.98% <90.00%> (-0.56%) |
:arrow_down: |
hdl21/tests/test_prefix.py | 97.53% <100.00%> (-2.47%) |
:arrow_down: |
:mega: We’re building smart automated test selection to slash your CI/CD build times. Learn more
Fails with error:
[2023-08-17T19:52:47.390Z] ['error'] There was an error running the uploader: Error uploading to [https://codecov.io:](https://codecov.io/) Error: There was an error fetching the storage URL during POST: 404 - {'detail': ErrorDetail(string='Unable to locate build via Github Actions API. Please upload with the Codecov repository upload token to resolve issue.', code='not_found')}
[2023-08-17T19:52:47.391Z] ['verbose'] The error stack is: Error: Error uploading to [https://codecov.io:](https://codecov.io/) Error: There was an error fetching the storage URL during POST: 404 - {'detail': ErrorDetail(string='Unable to locate build via Github Actions API. Please upload with the Codecov repository upload token to resolve issue.', code='not_found')}
at main (/snapshot/repo/dist/src/index.js)
at processTicksAndRejections (node:internal/process/task_queues:96:5)
[2023-08-17T19:52:47.391Z] ['verbose'] End of uploader: 2350 milliseconds
Error: Codecov: Failed to properly upload: The process '/__w/_actions/codecov/codecov-action/v3/dist/codecov' failed with exit code 255
Cool new thing I learnt, you can also do Prefixed
linear algebra with numpy for free!
Haha, this might be worth adding to documentation.
>>> np.eye(3)*n @ (np.eye(3)*m + 0.02)
array([[21.00000000000000000000000000*PICO,
20.00000000000000000000000000*PICO,
20.00000000000000000000000000*PICO],
[20.00000000000000000000000000*PICO,
21.00000000000000000000000000*PICO,
20.00000000000000000000000000*PICO],
[20.000000000000000*PICO, 20.000000000000000*PICO,
21.000000000000000*PICO]], dtype=object)
Edit: numpy arrays are unhashable - so they can't be passed as h.Param
's to h.Paramclass
's - I get around this by tuple-izing and untuple-izing my arrays, but is there a more elegant solution from a Pydantic standpoint?
Awesome stuff, merge time!
Notice that I couldn't do things like
1 + (1 * UNIT)
, so I decided to iron everything out so that allPrefixed
gets along with other common numerical types, so all operations should work and return the correctPrefixed
answer:Prefixed + other
other + Prefixed
Prefixed - other
other - Prefixed
Prefixed * other
other * Prefixed
Prefixed / other
other / Prefixed
Prefixed ** other
other ** Prefixed
Exponent
arithmetic could also be improved but I'm not sure exactly whene(3) - 500 = e(2.69897000434)
would ever be relevant, if just to have perfectly round corners.