def test_center_border():
from mahotas import wavelet_center
np.random.seed(12)
for border in (16, 24):
f = np.random.rand(51,100)
fc = wavelet_center(f, border=border)
assert np.all(fc[:border] == 0)
assert np.all(fc[-border:] == 0)
assert np.all(fc.T[:border] == 0)
assert np.all(fc.T[-border:] == 0)
def test_center_border():
from mahotas import wavelet_center
np.random.seed(12)
for border in (16, 24):
f = np.random.rand(51, 100)
fc = wavelet_center(f, border=border)
assert np.all(fc[:border] == 0)
assert np.all(fc[-border:] == 0)
assert np.all(fc.T[:border] == 0)
assert np.all(fc.T[-border:] == 0)
def test_center_decenter():
from mahotas import wavelet_decenter
from mahotas import wavelet_center
np.random.seed(12)
for border in (0, 1, 17):
f = np.random.rand(51,100)
fc = wavelet_center(f, border=border)
assert all(map(_is_power2, fc.shape))
fd = wavelet_decenter(fc, f.shape, border=border)
assert fd.shape == f.shape
assert np.all(fd == f)
def test_center_decenter():
from mahotas import wavelet_decenter
from mahotas import wavelet_center
np.random.seed(12)
for border in (0, 1, 17):
f = np.random.rand(51, 100)
fc = wavelet_center(f, border=border)
assert all(map(_is_power2, fc.shape))
fd = wavelet_decenter(fc, f.shape, border=border)
assert fd.shape == f.shape
assert np.all(fd == f)
def test_center_decenter():
from mahotas import wavelet_decenter
from mahotas import wavelet_center
np.random.seed(12)
for border in (0, 1, 17):
f = np.random.rand(51,100)
fc = wavelet_center(f, border=border)
log2fc_shape = np.log2(fc.shape)
assert np.all(log2fc_shape == np.floor(log2fc_shape))
fd = wavelet_decenter(fc, f.shape, border=border)
assert fd.shape == f.shape
assert np.all(fd == f)
def test_center_wavelet_iwavelet_decenter():
from mahotas import wavelet_center, wavelet_decenter
import mahotas
import numpy as np
f = luispedro_jpg(1)
f = f[:100,:250]
fo = f.copy()
for wav in ('D2', 'D4', 'D6', 'D8', 'D10', 'D12', 'D16'):
fc = mahotas.wavelet_center(fo, border=24)
t = mahotas.daubechies(fc, wav)
r = mahotas.idaubechies(t, wav)
rd = mahotas.wavelet_decenter(r, fo.shape, border=24)
assert np.allclose(fo, rd)
def test_center_wavelet_iwavelet_decenter():
from mahotas import wavelet_center, wavelet_decenter
import mahotas
import numpy as np
f = luispedro_jpg()
f = f[:100, :250]
fo = f.copy()
for wav in ('D2', 'D4', 'D6', 'D8', 'D10', 'D12', 'D16'):
fc = mahotas.wavelet_center(fo, border=24)
t = mahotas.daubechies(fc, wav)
r = mahotas.idaubechies(t, wav)
rd = mahotas.wavelet_decenter(r, fo.shape, border=24)
assert np.allclose(fo, rd)