Old engine for Continuous Time Bayesian Networks. Superseded by reCTBN. 🐍
https://github.com/madlabunimib/PyCTBN
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54 lines
1.6 KiB
54 lines
1.6 KiB
4 years ago
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from subprocess import PIPE, Popen
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import sys
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import re
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import pytest
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from numpy.linalg import lapack_lite
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from numpy.testing import assert_
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class FindDependenciesLdd:
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def __init__(self):
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self.cmd = ['ldd']
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try:
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p = Popen(self.cmd, stdout=PIPE, stderr=PIPE)
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stdout, stderr = p.communicate()
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except OSError:
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raise RuntimeError("command %s cannot be run" % self.cmd)
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def get_dependencies(self, lfile):
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p = Popen(self.cmd + [lfile], stdout=PIPE, stderr=PIPE)
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stdout, stderr = p.communicate()
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if not (p.returncode == 0):
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raise RuntimeError("failed dependencies check for %s" % lfile)
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return stdout
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def grep_dependencies(self, lfile, deps):
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stdout = self.get_dependencies(lfile)
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rdeps = dict([(dep, re.compile(dep)) for dep in deps])
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founds = []
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for l in stdout.splitlines():
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for k, v in rdeps.items():
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if v.search(l):
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founds.append(k)
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return founds
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class TestF77Mismatch:
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@pytest.mark.skipif(not(sys.platform[:5] == 'linux'),
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reason="no fortran compiler on non-Linux platform")
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def test_lapack(self):
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f = FindDependenciesLdd()
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deps = f.grep_dependencies(lapack_lite.__file__,
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[b'libg2c', b'libgfortran'])
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assert_(len(deps) <= 1,
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"""Both g77 and gfortran runtimes linked in lapack_lite ! This is likely to
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cause random crashes and wrong results. See numpy INSTALL.txt for more
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information.""")
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