Datasets:
ArXiv:
License:
| # Copyright (c) 2025 ByteDance Ltd. and/or its affiliates | |
| # SPDX-License-Identifier: Apache-2.0 | |
| import numpy as np | |
| import pyscf | |
| import pyscf.df | |
| from dataset import MultipartLMDBDataset | |
| BASIS = "def2-svp" | |
| AUXBASIS = "def2-universal-jfit" | |
| def get_rho_auxbasis_denfit(features): | |
| nums = features["atom_number"] | |
| coords = features["atom_coords"] | |
| charge = int(features["net_charge"]) | |
| spin = int(features["spin"]) | |
| dm = features["density_matrix"] | |
| mol = pyscf.M( | |
| atom=list(zip(nums.tolist(), coords.tolist())), | |
| unit="angstrom", | |
| basis=BASIS, | |
| charge=charge, | |
| spin=spin, | |
| ) | |
| auxmol = pyscf.df.addons.make_auxmol(mol, auxbasis=AUXBASIS) | |
| ints_3c1e = pyscf.df.incore.aux_e2(mol, auxmol, intor="int3c1e") | |
| aux_vec = np.linalg.solve( | |
| auxmol.intor("int1e_ovlp"), np.einsum("ij,ijp->p", dm, ints_3c1e) | |
| ) | |
| return {"aux_density_denfit": aux_vec} | |
| def main(): | |
| dataset = MultipartLMDBDataset("dataset/main", parts_to_load=["base", "dm"]) | |
| d = dataset[0] | |
| density_coeffs_dict = get_rho_auxbasis_denfit(d) | |
| print(density_coeffs_dict["aux_density_denfit"]) | |
| if __name__ == "__main__": | |
| main() | |