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# This workflow will upload a Python Package using Twine when a release is created
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# For more information see: https://help.github.com/en/actions/language-and-framework-guides/using-python-with-github-actions#publishing-to-package-registries
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# This workflow uses actions that are not certified by GitHub.
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# They are provided by a third-party and are governed by
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# separate terms of service, privacy policy, and support
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# documentation.
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name: Upload Python Package
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on:
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release:
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types: [published]
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jobs:
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deploy:
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v2
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- name: Set up Python
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uses: actions/setup-python@v2
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with:
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python-version: '3.x'
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- name: Install dependencies
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run: |
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python -m pip install --upgrade pip
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pip install build
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- name: Build package
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run: python -m build
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- name: Publish package
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uses: pypa/gh-action-pypi-publish@27b31702a0e7fc50959f5ad993c78deac1bdfc29
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with:
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user: __token__
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password: ${{ secrets.PYPI_API_TOKEN }}

.gitignore

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spliceai_train_code/
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data/
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note/.ipynb_checkpoints/
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*.egg-info/
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**/__pycache__/
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wandb/

README.md

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# tranception-pytorch

setup.py

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from setuptools import setup, find_packages
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setup(
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name = 'tranception-pytorch',
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packages = find_packages(exclude=[]),
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include_package_data = True,
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version = '0.0.1',
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license='MIT',
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description = 'Tranception - Pytorch',
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author = 'Dohoon Lee',
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author_email = 'dohlee.bioinfo@gmail.com',
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long_description_content_type = 'text/markdown',
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url = 'https://github.com/dohlee/tranception-pytorch',
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keywords = [
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'artificial intelligence',
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'genomics',
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'variant effect prediction',
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'protein fitness'
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],
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install_requires=[
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'einops>=0.3',
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'numpy',
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'torch>=1.6',
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],
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classifiers=[
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'Development Status :: 4 - Beta',
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'Intended Audience :: Developers',
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'Topic :: Scientific/Engineering :: Artificial Intelligence',
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'License :: OSI Approved :: MIT License',
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'Programming Language :: Python :: 3.9',
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],
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)

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