Old engine for Continuous Time Bayesian Networks. Superseded by reCTBN. 🐍
https://github.com/madlabunimib/PyCTBN
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58 lines
1.9 KiB
58 lines
1.9 KiB
4 years ago
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from numpy.testing import assert_raises, assert_, assert_equal
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from numpy.compat import pickle
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import sys
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import subprocess
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import textwrap
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from importlib import reload
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def test_numpy_reloading():
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# gh-7844. Also check that relevant globals retain their identity.
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import numpy as np
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import numpy._globals
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_NoValue = np._NoValue
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VisibleDeprecationWarning = np.VisibleDeprecationWarning
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ModuleDeprecationWarning = np.ModuleDeprecationWarning
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reload(np)
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assert_(_NoValue is np._NoValue)
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assert_(ModuleDeprecationWarning is np.ModuleDeprecationWarning)
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assert_(VisibleDeprecationWarning is np.VisibleDeprecationWarning)
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assert_raises(RuntimeError, reload, numpy._globals)
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reload(np)
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assert_(_NoValue is np._NoValue)
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assert_(ModuleDeprecationWarning is np.ModuleDeprecationWarning)
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assert_(VisibleDeprecationWarning is np.VisibleDeprecationWarning)
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def test_novalue():
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import numpy as np
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for proto in range(2, pickle.HIGHEST_PROTOCOL + 1):
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assert_equal(repr(np._NoValue), '<no value>')
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assert_(pickle.loads(pickle.dumps(np._NoValue,
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protocol=proto)) is np._NoValue)
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def test_full_reimport():
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"""At the time of writing this, it is *not* truly supported, but
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apparently enough users rely on it, for it to be an annoying change
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when it started failing previously.
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"""
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# Test within a new process, to ensure that we do not mess with the
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# global state during the test run (could lead to cryptic test failures).
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# This is generally unsafe, especially, since we also reload the C-modules.
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code = textwrap.dedent(r"""
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import sys
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import numpy as np
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for k in list(sys.modules.keys()):
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if "numpy" in k:
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del sys.modules[k]
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import numpy as np
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""")
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p = subprocess.run([sys.executable, '-c', code])
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assert p.returncode == 0
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