Python Targets #121
Draft
Python Targets #121
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Codecov Report
❗ Your organization needs to install the Codecov GitHub app to enable full functionality. @@ Coverage Diff @@
## main #121 +/- ##
=======================================
Coverage 85.01% 85.01%
=======================================
Files 81 81
Lines 2262 2262
=======================================
Hits 1923 1923
Misses 339 339
📣 We’re building smart automated test selection to slash your CI/CD build times. Learn more 📢 Have feedback on the report? Share it here. |
… existing compat)
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Currently have a "working" example (in
examplesfolder) for inferring the parameters of an ODE, where the velocity field is a python function JIT compiled with numba, and scipy'sodeintis used as integrator.Used scare quotes because the process is incredibly slow, mainly because a single call to the python function incurs 9k allocs (!!). Don't really know how to debug this. Perhaps a more experienced pythonista like @trevorcampbell knows how?