Source code for hiphive.core.tensors

Module containing tensor related functions

import numpy as np

[docs]def get_einsum_path(indices_list, optimize='optimal'): contr = [] for indices in indices_list: arr = np.random.random((3,)*len(indices)) contr.append(arr) contr.append(list(indices)) path = np.einsum_path(*contr, optimize=optimize) return path[0]
_paths = dict()
[docs]def rotate_tensor(T, R, path=None): """Equivalent to T_abc... = T_ijk... R_ia R_jb R_kc ... """ if path is not None: print('kw path is DEPRECATED!!!') order = len(T.shape) if order not in _paths: path = ['einsum_path', (0, 1)] for i in range(order - 1, 0, -1): path.append((0, i)) _paths[order] = path einsum_input = [T, list(range(order))] for i in range(order): einsum_input.append(R) einsum_input.append([i, order + i]) return np.einsum(*einsum_input, optimize=_paths[order])
[docs]def rotation_to_cart_coord(R, cell): """Return the rotation matrix in cart coord given a cell metric """ return, R), np.linalg.inv(cell.T))