nimporter | Compile Nim Extensions for Python On Import
kandi X-RAY | nimporter Summary
kandi X-RAY | nimporter Summary
Nimporter provides an official way to develop applications and libraries that make use of Nim code for achieving higher performance. It does this by providing a way to directly import Nim code and have it be compiled at runtime. However, unlike Cython, this will not proliferate your development environment and require adding bunches of exceptions to your .gitignore file. All artifacts are stored in their respective __pycache__ directories. Builds are cached so that subsequent imports do not trigger a rebuild. Nimporter allows you to treat Nim files exactly like Python modules. This means that namespacing is maintained for package heirarchies.
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Top functions reviewed by kandi - BETA
- Return a list of nim files found in the project
- Compile a nim extension
- Check the compile errors
- Build a nim extension
- Deletes all files in a directory
- Compiles nim code into build_artifact
- Update the hash file
- Compute the md5 hash of a module
- Returns the directory of the module
- Return the path to a hash file
- Builds an artifact from the given module path
nimporter Key Features
nimporter Examples and Code Snippets
Community Discussions
Trending Discussions on nimporter
QUESTION
Here is my playbook The return of output.stdout is a list that's why I call it by index of 0
...ANSWER
Answered 2021-Oct-26 at 15:14i think you have to set the option export:
QUESTION
th.nim
...ANSWER
Answered 2021-Jun-11 at 11:56PyCapsules
are defined here. You are receiving Bson
ref objects in a capsule at your python code, and if I'm understanding it correctly, they are C pointers. You could modify your code to return strings, or any other type that's not a ref object, so it works:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install nimporter
Nim Compiler (for compiling Nim source files)
Nimpy library (Installed automatically)
Nimporter library (distributed libraries will need access to Nimporter).
Since binary distributions allow Nimporter libraries to be distributed without requiring a Nim compiler, they are the recommended packaging type. However, building for each platform can be tedious. For a dead-simple way to publish Windows, MacOS, and Linux wheels to PyPi automatically, use the github_actions_template.yml template found in the examples/ directory. This template integrates with your repository's GitHub Actions runner to build, package, and deploy your library on Windows, MacOS, and Linux automatically when you create a new "Release" is created.
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