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)
