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Bump versionstrings for 1.7.4 release (#351)
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* change dssp conda install to apt

* add looseversion dependency

* bump changelog

* use apt-get

* fix broken test from deprecated PDB

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* make pdb code in test lowercase

* make pdb code in test lowercase

* pin biopython version <1.81 for dssp compatibility

* switch dssp back to apt-get

* pin biopython <=1.79 for dssp

* pin dssp version in CI

* switch dssp install back to salilab

* install specific boost version for DSSP

* add python 3.10 and torch 2.1.0 to CI matrix

* make 3.10 python version string

* unpin biopython version

* bump docstrings to 1.7.4

---------

Co-authored-by: Arian Jamasb <arian.jamasb@roche.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
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3 people authored Oct 26, 2023
1 parent bc1bf30 commit 27c065b
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2 changes: 1 addition & 1 deletion CHANGELOG.md
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@@ -1,4 +1,4 @@
### 1.7.4 - UNRELEASED
### 1.7.4 - 26/10/2023

* Adds support for PyG 2.4+ ([#350](https://www.github.com/a-r-j/graphein/pull/339))
* Fixes `add_sequence_neighbour_vector` to have a zero vector when no neighbor is feasible. Extend to handle insertion codes ([#336](https://github.com/a-r-j/graphein/pull/336)).
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2 changes: 1 addition & 1 deletion docs/source/conf.py
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Expand Up @@ -34,7 +34,7 @@
copyright = f"{datetime.datetime.now().year}, {author}"

# The full version, including alpha/beta/rc tags
release = "1.7.3"
release = "1.7.4"


# -- General configuration ---------------------------------------------------
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2 changes: 1 addition & 1 deletion graphein/__init__.py
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Expand Up @@ -12,7 +12,7 @@
from .testing import *

__author__ = "Arian Jamasb <arian@jamasb.io>"
__version__ = "1.7.3"
__version__ = "1.7.4"


logger.configure(
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2 changes: 1 addition & 1 deletion setup.py
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Expand Up @@ -134,7 +134,7 @@ def run(self):

setup(
name="graphein",
version="1.7.3",
version="1.7.4",
description="Protein & Interactomic Graph Construction for Machine Learning",
long_description=long_description,
long_description_content_type="text/markdown",
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