Old engine for Continuous Time Bayesian Networks. Superseded by reCTBN. 🐍
https://github.com/madlabunimib/PyCTBN
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
45 lines
1.3 KiB
45 lines
1.3 KiB
import numpy as np
|
|
from numpy.testing import assert_array_almost_equal
|
|
|
|
import scipy.ndimage as ndimage
|
|
|
|
|
|
def test_byte_order_median():
|
|
"""Regression test for #413: median_filter does not handle bytes orders."""
|
|
a = np.arange(9, dtype='<f4').reshape(3, 3)
|
|
ref = ndimage.filters.median_filter(a,(3, 3))
|
|
b = np.arange(9, dtype='>f4').reshape(3, 3)
|
|
t = ndimage.filters.median_filter(b, (3, 3))
|
|
assert_array_almost_equal(ref, t)
|
|
|
|
|
|
def test_zoom_output_shape():
|
|
"""Ticket #643"""
|
|
x = np.arange(12).reshape((3,4))
|
|
ndimage.zoom(x, 2, output=np.zeros((6,8)))
|
|
|
|
|
|
def test_ticket_742():
|
|
def SE(img, thresh=.7, size=4):
|
|
mask = img > thresh
|
|
rank = len(mask.shape)
|
|
la, co = ndimage.label(mask,
|
|
ndimage.generate_binary_structure(rank, rank))
|
|
_ = ndimage.find_objects(la)
|
|
|
|
if np.dtype(np.intp) != np.dtype('i'):
|
|
shape = (3,1240,1240)
|
|
a = np.random.rand(np.prod(shape)).reshape(shape)
|
|
# shouldn't crash
|
|
SE(a)
|
|
|
|
|
|
def test_gh_issue_3025():
|
|
"""Github issue #3025 - improper merging of labels"""
|
|
d = np.zeros((60,320))
|
|
d[:,:257] = 1
|
|
d[:,260:] = 1
|
|
d[36,257] = 1
|
|
d[35,258] = 1
|
|
d[35,259] = 1
|
|
assert ndimage.label(d, np.ones((3,3)))[1] == 1
|
|
|