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from subprocess import call, PIPE, Popen
import sys
import re
import numpy as np
from numpy.testing import TestCase, dec
from scipy.linalg import flapack
# XXX: this is copied from numpy trunk. Can be removed when we will depend on
# numpy 1.3
class FindDependenciesLdd:
def __init__(self):
self.cmd = ['ldd']
try:
st = call(self.cmd, stdout=PIPE, stderr=PIPE)
except OSError:
raise RuntimeError("command %s cannot be run" % self.cmd)
def get_dependencies(self, file):
p = Popen(self.cmd + [file], stdout=PIPE, stderr=PIPE)
stdout, stderr = p.communicate()
if not (p.returncode == 0):
raise RuntimeError("Failed to check dependencies for %s" % libfile)
return stdout
def grep_dependencies(self, file, deps):
stdout = self.get_dependencies(file)
rdeps = dict([(dep, re.compile(dep)) for dep in deps])
founds = []
for l in stdout.splitlines():
for k, v in rdeps.items():
if v.search(l):
founds.append(k)
return founds
class TestF77Mismatch(TestCase):
@dec.skipif(not(sys.platform[:5] == 'linux'),
"Skipping fortran compiler mismatch on non Linux platform")
def test_lapack(self):
f = FindDependenciesLdd()
deps = f.grep_dependencies(flapack.__file__,
['libg2c', 'libgfortran'])
self.failIf(len(deps) > 1,
"""Both g77 and gfortran runtimes linked in scipy.linalg.flapack ! This is
likely to cause random crashes and wrong results. See numpy INSTALL.txt for
more information.""")
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