Add deepchem_nightly pip package-开源项目-CSDN问答

来自 : CSDN技术社区 发布时间：2021-03-24

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weixin_39783426 2021-01-06 19:02 首页 开源项目 Add deepchem_nightly pip package

I ve been doing a bit of research and Travis-CI has pretty decent support for deploying to PyPi:

https://docs.travis-ci.com/user/deployment/pypi/

I propose that we leverage this support to put up a deepchem_nightly package. DeepChem development is proceeding rapidly and there are a lot of utilities that mean developing on nightly is much nicer than 2.3.0.

If folks are ok with this idea, I ll go ahead and put up a PR

该提问来源于开源项目 deepchem/deepchem

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weixin_39707201 2月前

This issue is fixed by #1986

DeepChem nightly version is installed by

pip install --pre deepchem

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weixin_39707201 2月前

deepchem-nightly works well! I appreciate your working!

But, i think it is not necessary to separate packages like deepchem, deepchem-nightly.Like DGL, it is better to publish nightly version as a prerelease. My image is the following.

Official version

pip install deepchem

Nightly version

pip install --pre deepchem

I think it is better not to have two packages in the terms of maintenance cost.

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weixin_39783426 2月前

Ok, I think deepchem-nightly is now working! https://pypi.org/project/deepchem-nightly/#history

-02110114 Could you try swapping JaxChem install over to deepchem-nightly to see if it works for you?

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weixin_39783426 2月前

I think to generate release builds, we can use a before-deploy script https://docs.travis-ci.com/user/deployment-v2#running-commands-before-and-after-the-deploy-step and a conditional deploy https://docs.travis-ci.com/user/deployment-v2/conditional alongside Travis-CI support for multiple deployments to generate deepchem builds on tags

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weixin_39783426 2月前 1960 set up the first part of a framework for this, but the twine upload is currently failing as follows:

$ twine upload -r pypi dist/*Uploading distributions to https://upload.pypi.org/legacy/Uploading deepchem-nightly-2.3.0.tar.gz100%|██████████| 307k/307k [00:00 00:00, 962kB/s] NOTE: Try --verbose to see response content.HTTPError: 400 Bad Request from https://upload.pypi.org/legacy/Invalid value for classifiers. Error: Classifier License :: OSI Approved :: MIT is not a valid classifier.

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weixin_39707201 2月前

Currently, I think we can install deepchem HEAD codes by the following commands.

$ pip install git https://github.com/deepchem/deepchem

However, this command is slow because it clones the deepchem repository... (The repository is a a little big, almost 700MB) So, I seem that your idea is better

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