This release is a pre-release and may not be stable for production use.
dcccpy-linux-runtime
dcccpy-linux-runtime carries the prebuilt Linux DCCCcore runtime used by
dcccpy[linux-runtime].
This package is optional. The plain dcccpy package can download DCCCcore
from GitHub releases on first use. Install this runtime package when a user or
environment needs pip install to provide the native runtime without first-run
download.
Before building this package, vendor the release asset:
python scripts/vendor_dccccore.py --version 4.4.0 --release-platform ubuntu-latest-x64
python -m build --wheel
For a PyPI-size runtime wheel, use the slim profile:
python scripts/vendor_dccccore.py --profile pypi-slim --force
python -m build --wheel
The pypi-slim profile omits the fast_and_acc registration model/config and
the ADAD decoupler ONNX ensemble. It keeps the default spatial normalization
model and the assets needed by common Centiloid/CenTauR/CenTauRz workflows.
The vendored runtime is intentionally ignored by git because it contains large ONNX model and NIfTI template assets.
Metadata
Release files for dcccpy-linux-runtime 0.2.0a1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dcccpy_linux_runtime-0.2.0a1-py3-none-manylinux2014_x86_64.whl | Python 3 | none | Linux glibc 2.17+ x86-64 | Details |
Release files / dcccpy_linux_runtime-0.2.0a1-py3-none-manylinux2014_x86_64.whl
| Download URL | dcccpy_linux_runtime-0.2.0a1-py3-none-manylinux2014_x86_64.whl |
|---|---|
| Size | 93.4 MB |
| Tags | Linux glibc 2.17+ x86-64 Python 3 |
|
SHA-256 checksum How to use checksums |
61af27b9f8db3bd8b2b4a6bd0a1a9a3c395adb1d4b83192f71e09840a615a80c
|
|
BLAKE2b-256 checksum How to use checksums |
9f36e88086bdeccc855ebbe986e54a0ae13c9383414592c80bf1296a6b001adb
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.10.19
|