1
0
mirror of https://github.com/TREX-CoE/trexio.git synced 2025-01-03 10:06:01 +01:00

Update the wheels scripts and add benzene data

This commit is contained in:
q-posev 2022-06-01 17:52:52 +02:00
parent 2876d73885
commit 53a408953d
3 changed files with 53 additions and 4 deletions

View File

@ -152,7 +152,7 @@ jobs:
working-directory: python
- name: Install Python dependencies
run: pip install --upgrade pip setuptools build delocate
run: pip install --upgrade pip setuptools build delocate pytest
- name: Build wheel for a given version of CPython
run: |
@ -169,7 +169,7 @@ jobs:
working-directory: python
- name: Test the wheel
run: python test_api.py
run: pytest -v test_api.py
working-directory: python/test
- name: Upload produced wheels as artifacts

View File

@ -82,11 +82,14 @@ function build_wheel_for_py()
# install the produced manylinux wheel in the virtual environment
python3 -m pip install wheelhouse/trexio-${TR_VERSION}-${CPYTHON}-manylinux*.whl
# install pytest for testing
pip install pytest
# run test script
cd test && python3 test_api.py && cd ..
pytest -v test/test_api.py
# cleaning
rm -rf -- dist/ build/ trexio.egg-info/
rm -- test_file_py.h5 unsafe_test_file_py.h5
# deactivate the current environment
deactivate

View File

@ -0,0 +1,46 @@
# for the nucleus group
nucleus_num = 12
point_group = 'D6h'
nucleus_label = ['C', 'C', 'C', 'C', 'C', 'C', 'H', 'H', 'H', 'H', 'H', 'H']
nucleus_charge = [6., 6., 6., 6., 6., 6., 1., 1., 1., 1., 1., 1.]
nucleus_coord = [
[ 0.00000000 , 1.39250319 , 0.00000000 ],
[-1.20594314 , 0.69625160 , 0.00000000 ],
[-1.20594314 , -0.69625160 , 0.00000000 ],
[ 0.00000000 , -1.39250319 , 0.00000000 ],
[ 1.20594314 , -0.69625160 , 0.00000000 ],
[ 1.20594314 , 0.69625160 , 0.00000000 ],
[-2.14171677 , 1.23652075 , 0.00000000 ],
[-2.14171677 , -1.23652075 , 0.00000000 ],
[ 0.00000000 , -2.47304151 , 0.00000000 ],
[ 2.14171677 , -1.23652075 , 0.00000000 ],
[ 2.14171677 , 1.23652075 , 0.00000000 ],
[ 0.00000000 , 2.47304151 , 0.00000000 ],
]
# for the basis_nucleus_index
basis_shell_num = 24
nucleus_index = [i for i in range(basis_shell_num)]
# for sparse AO_INT_2E
ao_num = 600
# prepare the sparse data representation
num_integrals = 100
indices = [i for i in range(num_integrals*4)]
values = [(3.14 + float(i)) for i in range(num_integrals)]
# for determinants
mo_num = 150
int64_num = int((mo_num - 1)/64 + 1)
# prepate the CI data
det_num = 2000
dets = [i for i in range(det_num * int64_num * 2)]
coeffs = [float(i/det_num) for i in range(det_num)]
coeffs_s2 = [float(i*2/det_num) for i in range(det_num)]
det_test = [1, 2, 3, 2, 1, 3]