indygreg / indygreg/PyOxidizer
Help loading a package
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- Dominant language
- Rust
- Stars
- 6.2k
- Forks
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Description
I've been trying to load a few NLP related packages, and seems they can't be loaded in-memory
Successfully installed click-7.1.2 joblib-0.16.0 nltk-3.5 regex-2020.6.8 tqdm-4.47.0
error[PYOXIDIZER_BUILD]: in-memory-only resources policy active but in-memory extension module importing not supported by this configuration
--> ./pyoxidizer.bzl:107:5
|
107 | exe.add_in_memory_python_resources(dist.pip_install(["nltk"]))
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ add_extension_module
I built the package from source locally, but now I'm unsure how to include it. Would love some help - happy to be able to bundle an app into a binary
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start at pyoxidizer.bzl line 107 and read the add_in_memory_python_resources call together with the in-memory-only resources policy error. Reproduce the build with the shown nltk installation and determine what configuration or packaging path is required for a bundled binary; done means the NLP package loads successfully in the resulting application.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, rust
- Domain
- build-system, tooling
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100