"""MIT License Copyright (c) 2019 David Luevano Alvarado Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. """ from multiprocessing import Process, Pipe from lj_matrix.c_matrix import c_matrix_multiple from lj_matrix.lj_matrix import lj_matrix_multiple def parallel_create_matrices(mol_data, nc_data, ljm_diag_value=None, ljm_sigma=1.0, ljm_epsilon=1.0, max_len=25, as_eig=True, bohr_radius_units=False): """ Creates the Coulomb and L-J matrices in parallel. mol_data: molecule data, matrix of atom coordinates. nc_data: nuclear charge data, array of atom data. ljm_diag_value: if special diagonal value is to be used for lj matrix. ljm_sigma: sigma value for lj matrix. ljm_epsilon: psilon value for lj matrix. max_len: maximum amount of atoms in molecule. as_eig: if data should be returned as matrix or array of eigenvalues. bohr_radius_units: if units should be in bohr's radius units. """ # Matrices calculation. procs = [] pipes = [] cm_recv, cm_send = Pipe(False) p1 = Process(target=c_matrix_multiple, args=(mol_data, nc_data, cm_send, max_len, as_eig, bohr_radius_units)) procs.append(p1) pipes.append(cm_recv) p1.start() ljm_recv, ljm_send = Pipe(False) p2 = Process(target=lj_matrix_multiple, args=(mol_data, nc_data, ljm_send, ljm_diag_value, ljm_sigma, ljm_epsilon, max_len, as_eig, bohr_radius_units)) procs.append(p2) pipes.append(ljm_recv) p2.start() cm_data = pipes[0].recv() ljm_data = pipes[1].recv() for proc in procs: proc.join() return cm_data, ljm_data