# This program is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License # along with this program. If not, see . # # Copyright(C) 2019 Max-Planck-Society # # NIFTy is being developed at the Max-Planck-Institut fuer Astrophysik. import numpy as np import pytest from numpy.testing import assert_allclose, assert_ import nifty5 as ift np.random.seed(40) pmp = pytest.mark.parametrize def _l2error(a, b): return np.sqrt(np.sum(np.abs(a-b)**2)/np.sum(np.abs(a)**2)) @pmp('eps', [1e-2, 1e-4, 1e-7, 1e-10, 1e-11, 1e-12, 2e-13]) @pmp('nu', [12, 128]) @pmp('nv', [4, 12, 128]) @pmp('N', [1, 10, 100]) def test_gridding(nu, nv, N, eps): uvw = np.random.rand(N, 3) - 0.5 vis = (np.random.randn(N) + 1j*np.random.randn(N)) # Nifty GM = ift.GridderMaker(ift.RGSpace((nu, nv)), uvw=uvw, channel_fact=np.array([1.]), eps=eps, flags=np.zeros((N, 1), dtype=np.bool)) vis2 = ift.from_global_data(ift.UnstructuredDomain(vis.shape), vis) Op = GM.getFull() pynu = Op(vis2).to_global_data() # DFT x, y = np.meshgrid( *[-ss/2 + np.arange(ss) for ss in [nu, nv]], indexing='ij') dft = pynu*0. for i in range(N): dft += (vis[i]*np.exp(2j*np.pi*(x*uvw[i, 0] + y*uvw[i, 1]))).real assert_(_l2error(dft, pynu) < eps) @pmp('eps', [1e-2, 1e-6, 2e-13]) @pmp('nu', [12, 128]) @pmp('nv', [4, 12, 128]) @pmp('N', [1, 10, 100]) def test_build(nu, nv, N, eps): dom = ift.RGSpace([nu, nv]) uvw = np.random.rand(N, 3) - 0.5 GM = ift.GridderMaker(dom, uvw=uvw, channel_fact=np.array([1.]), eps=eps, flags=np.zeros((N, 1), dtype=np.bool)) R0 = GM.getGridder() R1 = GM.getRest() R = R1@R0 RF = GM.getFull() # Consistency checks flt = np.float64 cmplx = np.complex128 ift.extra.consistency_check(R0, cmplx, flt, only_r_linear=True) ift.extra.consistency_check(R1, flt, flt) ift.extra.consistency_check(R, cmplx, flt, only_r_linear=True) ift.extra.consistency_check(RF, cmplx, flt, only_r_linear=True)