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⬆️ Update to aiida-core v1.4.2 #48
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9950c1c
⬆️ Update to aiida-core v1.4.2
chrisjsewell 4a97fee
add cython to virtualenv
chrisjsewell 02b92da
update plugin versions
chrisjsewell 9e3c1d9
fix version
chrisjsewell a4d68f2
unpin setuptools
chrisjsewell 3c28f9e
move plugin versions to separate release notes section
chrisjsewell d8e73a7
fix pip check
chrisjsewell 9344a4c
try installing numpy not cython
chrisjsewell bd0463d
Update rependencies
chrisjsewell a175318
Add generation/use of pip constraints file
chrisjsewell b4f5db3
Add additional contraints variable
chrisjsewell e1c1f44
add constraints to actual aiida-core install
chrisjsewell 02e7f33
comment out actual aiida-core
chrisjsewell 9262cf0
Update aiida-core-constraints.py
chrisjsewell f8e7d97
Update aiida-core-constraints.py
chrisjsewell 85639d9
Update verify.yml
chrisjsewell 1b933d1
Update verify.yml
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So, to recap: I think the problem is that pymatgen still specifies its build dependencies (numpy) via an antiquated method, which results in
easy_install
being used instead of pip, which then requires numpy to be built from source (rather than just using a wheel).I.e. just putting numpy here should probably also solve the problem and would be faster.
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Ok I'll give it a go thanks:
pymatgen does have numpy as a setup dependency not cython: https://github.com/materialsproject/pymatgen/blob/cea7587e40cff1d8b476601176b034d753301971/setup.py#L108
although feels weird that this is the dependency to build the cython files: https://github.com/materialsproject/pymatgen/blob/cea7587e40cff1d8b476601176b034d753301971/setup.py#L164
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works 👍