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This project is an incorporated submodule of Go binds to Python3/C APIs.
This project is inspired from DataDog/go-python3 that has Faster compilation with multiple submodules.
go get github.com/M-Quadra/go-python3-submodule/v11
| Python version | Package URL |
|---|---|
| 3.11 | github.com/M-Quadra/go-python3-submodule/v11 |
| 3.10 | github.com/M-Quadra/go-python3-submodule/v10 |
| 3.9 | github.com/M-Quadra/go-python3-submodule/v9 |
| 3.8 | github.com/M-Quadra/go-python3-submodule/v8 |
Call as Python/C API functions. e.g. PyBool_Check(x) call with pybool.Check. The gopls will import the rest automately.
Function names are coming from types. As follow:
| Python/C API | Go |
|---|---|
| PyFloat_AsDouble | pyfloat.AsFloat64 |
| PyLong_AsLong | pylong.AsInt |
| PyLong_AsLongLong | pylong.AsInt64 |
| ... | ... |
If you are confusing while running the code, to check the GIL or reference count.
There are two example for goroutine: example-0 , example-1.
I'd like to use example-0.
Development environment: macOS (x86-64).
Test environment: Linux (Docker x86-64)
Incorporate the most of the original functions in DataDog/go-python3.
Add the counting check in references that cover the most of test cases.
- Unit test of reference counts in
Exception. - GitHub Action.
- Tutorial.