Skip to main content

A set of schema definitions and API for SCORER Edge L2DC

Project description

SCORER Edge - Low Latency Data Channels (L2DC)

This package contains FlatBuffers schema definitions and the API to exchange data (the wrapper library).

How to install the package

Currently, wheels for CPython 3.7, 3.9, 3.10 are pushed to PyPI.

pip install scorer-edge-l2dc

How to build and install the package from source

After cloning the repository on Debian 10, use make to build the source.

git clone https://github.com/scorer-edge/l2dc.git
cd l2dc
make prereq
make install

How to test the package

GoogleTest is used to test the library.

make test

How to use the package

Some examples are provided in examples directory.

How to uninstall the package

You can use uninstall target of Makefile for your convenience.

make uninstall

How to push the package to PyPI

PyPI does not allow the same version to get pushed twice. First you increment the package version by one of inc-major-ver, inc-minor-ver, or inc-patch-ver. Then, use publish target.

make inc-patch-ver
make publish

Also note that you need docker to build manylinux version of wheels.

End.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

scorer_edge_l2dc-0.0.13-cp310-cp310-manylinux_2_24_x86_64.whl (57.2 kB view details)

Uploaded CPython 3.10manylinux: glibc 2.24+ x86-64

scorer_edge_l2dc-0.0.13-cp39-cp39-manylinux_2_24_x86_64.whl (57.3 kB view details)

Uploaded CPython 3.9manylinux: glibc 2.24+ x86-64

scorer_edge_l2dc-0.0.13-cp37-cp37m-manylinux_2_24_x86_64.whl (57.2 kB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.24+ x86-64

File details

Details for the file scorer_edge_l2dc-0.0.13-cp310-cp310-manylinux_2_24_x86_64.whl.

File metadata

File hashes

Hashes for scorer_edge_l2dc-0.0.13-cp310-cp310-manylinux_2_24_x86_64.whl
Algorithm Hash digest
SHA256 850a068247f851d4cd8ad584e92ff94e1d7261a1b48b0d7fa94262c0c546681b
MD5 4d06535694b3fccb0026eefc8c6b6c9b
BLAKE2b-256 ce581c422d88a14c1c8457a16c815ee4d4c6de1f19efb13a0ef892c69134adf1

See more details on using hashes here.

File details

Details for the file scorer_edge_l2dc-0.0.13-cp39-cp39-manylinux_2_24_x86_64.whl.

File metadata

File hashes

Hashes for scorer_edge_l2dc-0.0.13-cp39-cp39-manylinux_2_24_x86_64.whl
Algorithm Hash digest
SHA256 52c53becd31677ebd9c863abfd0b170b35773222b4569b1c49a5119ba0650f69
MD5 9572a55ca53a8564f33534fb88e60c29
BLAKE2b-256 bf96c42710bb7ea68b3376c3344afd0bc59b278573abdd662164183610e727d8

See more details on using hashes here.

File details

Details for the file scorer_edge_l2dc-0.0.13-cp37-cp37m-manylinux_2_24_x86_64.whl.

File metadata

File hashes

Hashes for scorer_edge_l2dc-0.0.13-cp37-cp37m-manylinux_2_24_x86_64.whl
Algorithm Hash digest
SHA256 e9878b994ee7b69da9b1f427115f57e5a258a8d313816691d892ce8311ae1e72
MD5 8b25e276fe5d0d75f36360a58d374e9a
BLAKE2b-256 5d783d9ce2ce306a314765c02571e84aba01c896dc1d9e5a3ea715e86430def5

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page