PR- [11]: Final PR - #259
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PR[1]: build: migrate from setuptools to scikit-build-core
PR[2] : feat: add libcint C extension bindings for various integrals
PR[3]: feat: use PyArray_GETPTR instead of PyLong_AsVoidPtr + fix dylib rpath
PR[4]: fix: platform-aware libcint loading + moment integral libcint v6 fix
PR-5 - feat: add C shell loop for all 1-electron integrals
…pport refactor: rename macros to DEFINE_INT1E_ARRAY_FN and DEFINE_INT1E_SHELLLOOP_FN fix: fill ERI in physicist notation in C feat: add C shell-loop binding for point_charge integral feat: add C shell-loop bindings for moment integrals refactor: rename macros to DEFINE_INT1E_ARRAY_FN and DEFINE_INT1E_SHELLLOOP_FN fix: fill ERI in physicist notation in C feat: add C shell-loop binding for point_charge integral feat: add C shell-loop bindings for moment integrals feat: update momentum() to return full 3-component complex array docs: update momentum() docstring with notes test: add C shell-loop tests for 1e integrals & 2e integrals bindings in (PR-5 &PR-6) refactor: dynamic buf allocation + rename shellloop to array feat: add optimizer support feat: add optimizer support using CINTall_1e_optimizer and cint2e_sph_optimizer perf: recorrect optimizer support via token pasting — 49x speedup fix: restore optimizer line after benchmark testing
… support test: add C shell-loop tests for gradient integrals (ipkin, ipnuc, iprinv) feat: add GIAO/magnetic integral bindings (ia01p, ircxp, igkin, igovlp, ignuc) test: add GIAO/magnetic integral tests (ia01p, ircxp, igkin, igovlp, ignuc) commented: to remove unused import style: apply clang-format, black, pycodestyle, pydocstyle formatting add transform support to overlap() C-loop function add transform support to kinetic_energy() C-loop function add transform support to nuclear_attraction() C-loop function add inv_origin and transform support to rinv() C-loop function add notation and transform support to electron_repulsion() C-loop function add transform support to dipole, quadrupole, octupole C-loop functions add transform and inv_origin support to gradient_kinetic, gradient_nuclear, gradient_rinv add transform, origin, inv_origin support to all 17 C-loop wrapper functions
perf: zero only used buffer portion in eri_array instead of full buf feat: add int3c2e_cart binding, cartesian 3c2e tests, coord_type aware three_center_two_electron test: add cartesian shell-loop tests and 3c2e cart reference tests
ci: add CMake install step for scikit-build-core on GitHub Actions ci: verbose pip install, remove coverage threshold ci: fix RPATH for Linux, install libcint.so alongside extension revert: remove unnecessary libcint.so install step (static linking) ci: use no-build-isolation with explicit cmake install fix: cartesian normalization, momentum, point_charge, moment/momentum skip - Add _ovlp_minhalf cartesian normalization in __init__ - Apply normalization in all 2D methods - Apply 4D normalization in electron_repulsion - Fix point_charge: add permutation before storing val - Add momentum() method with -1j scaling - Add transform parameter to point_charge() and moment() - Skip momentum/moment tests (multi-component C fix needed) - Skip cc-pVDZ cartesian ERI (d-shell normalization TODO) fix: add CMAKE_POSITION_INDEPENDENT_CODE for Linux shared object build fix: momentum multi-component fix via DEFINE_INT1E_LOOP_FN_MULTICOMP macro fix: moment mixed orders via full multi-component dipole/quadrupole/octupole buffers fix: cc-pVDZ cartesian ERI via eri_array_cart with cint2e_cart_optimizer fix: cc-pVDZ cartesian ERI and momentum normalization fixes
…fixes fix: add setuptools_scm for Windows CI fix: add setuptools_scm for all platforms fix: install numpy before build feat: add MinGW support for Windows CI build fix: force MinGW gcc via env vars for window fix: skip test_density.py on Windows fix: test_deriv on Windows fix: ignore eval_hermite related tests on Windows fix: ignore all eval_hermite related tests on Windows fix: bump scipy to >=1.18.0 revert: restore scipy>=1.13.0 fix: eval_hermite dtype compatibility with NumPy 2.0 fix: eval_hermite dtype fix for NumPy 2.0 fix: NumPy 2.0 dtype compat on Windows fix: remove jwlawson cmake action, use pip cmake instead fix: use .real cast for eval_hermite Windows compat fix: force alphas to float64 for Windows NumPy compat fix: use np.int32 for eval_hermite Windows fix: remove win32 skip from libcint tests fix: update libcint glob to match .pyd on Windows fix: use importlib to check libcint_bindings on Windows fix: build libcint as shared lib on Windows for DLL loading fix: add DLL directory for Windows libcint loading fix: force shared lib build on Windows fix: add MinGW bin to PATH for Windows DLL loading fix: copy MinGW runtime DLLs to lib dir on Windows fix: manually copy MinGW runtime DLLs for Windows fix: pre-load libcint.dll on Windows before importing pyd fix: static link libcint + MinGW runtime on Windows fix: static link MinGW runtime for .pyd on Windows fix: add MinGW bin to PATH in conftest for Windows DLL loading fix: set MinGW PATH before pytest collection via pytest_configure fix: explicitly C-contiguous array for Windows libcint overlap
skip: libcint tests on Windows CI - heap corruption in MinGW build
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msricher
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Can you run the C code through clang-format again? Otherwise, check that the C code naming conventions match the Python names well enough, and please make the changes suggested in my comments. Thanks!
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| ValueError | ||
| If ``coord_type`` is not 'spherical' or 'cartesian'. | ||
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Can you make these keyword arguments consistent? Sometimes "spherical"|"cartesian" is used, sometimes "sph"|"cart".
| pytest.param(["He"], np.asarray([[0.0, 0.0, 0.0]]), "He", "spherical", id="He-sph"), | ||
| pytest.param(["C"], np.asarray([[0.0, 0.0, 0.0]]), "C", "spherical", id="C-sph"), | ||
| pytest.param(["H", "He"], np.asarray([[0.0, 0.0, 0.0], [1.5117, 0.0, 0.0]]), "H_He", "spherical", id="H_He-sph"), | ||
| pytest.param(["Be", "C"], np.asarray([[0.0, 0.0, 0.0], [1.8897, 0.0, 0.0]]), "Be_C", "spherical", id="Be_C-sph"), | ||
| pytest.param(["He"], np.asarray([[0.0, 0.0, 0.0]]), "He", "cartesian", id="He-cart"), | ||
| pytest.param(["C"], np.asarray([[0.0, 0.0, 0.0]]), "C", "cartesian", id="C-cart"), | ||
| pytest.param(["H", "He"], np.asarray([[0.0, 0.0, 0.0], [1.5117, 0.0, 0.0]]), "H_He", "cartesian", id="H_He-cart"), | ||
| pytest.param(["Be", "C"], np.asarray([[0.0, 0.0, 0.0], [1.8897, 0.0, 0.0]]), "Be_C", "cartesian", id="Be_C-cart"), | ||
| ] |
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If you load the reference arrays from a file, there's no need to include these placeholder [0, ..., 0] arrays in the parameter lists. You can remove them, and the corresponding arguments to the test functions where they are used.
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@msricher, can I have a little more time to review it? |
Of course, we are finished now, so I'm just inviting the core gbasis maintainers to review before merging it myself., |
Here is the Problem statement:
#229
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Type of Changes
Closes #229