Old engine for Continuous Time Bayesian Networks. Superseded by reCTBN. 🐍
https://github.com/madlabunimib/PyCTBN
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49 lines
1.3 KiB
49 lines
1.3 KiB
from distutils.version import LooseVersion
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import pytest
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from pandas.compat._optional import VERSIONS
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import pandas as pd
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from pandas.core.computation.engines import _engines
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import pandas.core.computation.expr as expr
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def test_compat():
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# test we have compat with our version of nu
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from pandas.core.computation.check import _NUMEXPR_INSTALLED
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try:
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import numexpr as ne
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ver = ne.__version__
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if LooseVersion(ver) < LooseVersion(VERSIONS["numexpr"]):
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assert not _NUMEXPR_INSTALLED
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else:
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assert _NUMEXPR_INSTALLED
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except ImportError:
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pytest.skip("not testing numexpr version compat")
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@pytest.mark.parametrize("engine", _engines)
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@pytest.mark.parametrize("parser", expr._parsers)
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def test_invalid_numexpr_version(engine, parser):
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def testit():
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a, b = 1, 2 # noqa
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res = pd.eval("a + b", engine=engine, parser=parser)
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assert res == 3
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if engine == "numexpr":
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try:
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import numexpr as ne
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except ImportError:
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pytest.skip("no numexpr")
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else:
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if LooseVersion(ne.__version__) < LooseVersion(VERSIONS["numexpr"]):
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with pytest.raises(ImportError):
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testit()
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else:
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testit()
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else:
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testit()
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