/usr/lib/python3/dist-packages/photutils/psf/matching/tests/test_windows.py is in python3-photutils 0.4-1.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 | # Licensed under a 3-clause BSD style license - see LICENSE.rst
from __future__ import (absolute_import, division, print_function,
unicode_literals)
import pytest
import numpy as np
from numpy.testing import assert_allclose
from ..windows import (HanningWindow, TukeyWindow, CosineBellWindow,
SplitCosineBellWindow, TopHatWindow)
try:
import scipy # noqa
HAS_SCIPY = True
except ImportError:
HAS_SCIPY = False
def test_hanning():
win = HanningWindow()
data = win((5, 5))
ref = [0., 0.19715007, 0.5, 0.19715007, 0.]
assert_allclose(data[1, :], ref)
def test_hanning_numpy():
"""Test Hanning window against 1D numpy version."""
size = 101
cen = (size - 1) // 2
shape = (size, size)
win = HanningWindow()
data = win(shape)
ref1d = np.hanning(shape[0])
assert_allclose(data[cen, :], ref1d)
def test_tukey():
win = TukeyWindow(0.5)
data = win((5, 5))
ref = [0., 0.63312767, 1., 0.63312767, 0.]
assert_allclose(data[1, :], ref)
@pytest.mark.skipif('not HAS_SCIPY')
def test_tukey_scipy():
"""Test Tukey window against 1D scipy version."""
# scipy.signal.tukey was introduced in Scipy v0.16.0
from scipy.signal import tukey
size = 101
cen = (size - 1) // 2
shape = (size, size)
alpha = 0.4
win = TukeyWindow(alpha=alpha)
data = win(shape)
ref1d = tukey(shape[0], alpha=alpha)
assert_allclose(data[cen, :], ref1d)
def test_cosine_bell():
win = CosineBellWindow(alpha=0.8)
data = win((7, 7))
ref = [0., 0., 0.19715007, 0.5, 0.19715007, 0., 0.]
assert_allclose(data[2, :], ref)
def test_split_cosine_bell():
win = SplitCosineBellWindow(alpha=0.8, beta=0.2)
data = win((5, 5))
ref = [0., 0.3454915, 1., 0.3454915, 0.]
assert_allclose(data[2, :], ref)
def test_tophat():
win = TopHatWindow(beta=0.5)
data = win((5, 5))
ref = [0., 1., 1., 1., 0.]
assert_allclose(data[2, :], ref)
def test_invalid_shape():
with pytest.raises(ValueError):
win = HanningWindow()
win((5,))
|