import aggravate from aggravate import _aggravate import numpy as np from matplotlib import pyplot as plt Z = np.random.rand(12, 12) mtx = np.zeros((3, 3)) mtx[0, 0] = 800/12 mtx[1, 1] = 800/12 mtx[2, 2] = 1 for i in range(_aggravate._n_interpolation): output = np.zeros((800, 800)) aggravate.resample(Z, output, mtx, interpolation=i) plt.figimage(output) plt.show()
def test_smoketest(): Z = np.random.rand(12, 12) for i in range(_aggravate._n_interpolation): output = np.zeros((800, 800)) aggravate.resample(Z, output, 800/12, 0, 0, 800/12, interpolation=i)