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v1.1.6 unpin python packages (#212)
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Unpins all cite process python packages from their exact versions, pins
them to **major versions**. This ensures users will be on the latest
versions of packages, without breaking changes (assuming the packages
follow semver properly), and without having to constantly update their
template version (which can be a pain).

Closes #210 
Addresses #211 

FOR THE TEMPLATE MAINTAINER(S)

New template version checklist:

- [x] I have updated CITATION and CHANGELOG as appropriate.
- [x] I have updated lab-website-template-docs as appropriate.
- [x] I have checked the testbed as appropriate.

---------

Co-authored-by: vincerubinetti <[email protected]>
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vincerubinetti and vincerubinetti committed Oct 6, 2023
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4 changes: 4 additions & 0 deletions CHANGELOG.md
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Reference: common-changelog.org

## 1.1.6 - 2023-10-06

- Use latest minor versions of Python packages in auto-cite script.

## 1.1.5 - 2023-05-19

### Changes
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4 changes: 2 additions & 2 deletions CITATION.cff
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# citation metadata for the template itself

title: "Lab Website Template"
version: 1.1.5
date-released: 2023-05-19
version: 1.1.6
date-released: 2023-10-06
url: "https://github.com/greenelab/lab-website-template"
authors:
- family-names: "Rubinetti"
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13 changes: 7 additions & 6 deletions _cite/requirements.txt
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manubot==0.5.5
PyYAML==6.0
diskcache==5.4.0
rich==12.6.0
python-dotenv==0.21.0
google-search-results==2.4.1
manubot~=0.6
PyYAML~=6.0
diskcache~=5.6
rich~=13.6
python-dotenv~=0.21
google-search-results~=2.4

22 changes: 22 additions & 0 deletions _data/citations.yaml
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orcid: 0000-0002-4655-3773
plugin: orcid.py
file: orcid.yaml
- id: doi:10.1093/gigascience/giad047
title: Hetnet connectivity search provides rapid insights into how biomedical entities
are related
authors:
- Daniel S Himmelstein
- Michael Zietz
- Vincent Rubinetti
- Kyle Kloster
- Benjamin J Heil
- Faisal Alquaddoomi
- Dongbo Hu
- David N Nicholson
- Yun Hao
- Blair D Sullivan
- Michael W Nagle
- Casey S Greene
publisher: GigaScience
date: '2022-12-28'
link: https://doi.org/gsd85n
orcid: 0000-0002-4655-3773
plugin: orcid.py
file: orcid.yaml
- id: doi:10.1186/s13059-020-02021-3
title: Compressing gene expression data using multiple latent space dimensionalities
learns complementary biological representations
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