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 Superseded by reCTBN.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