def test_rotree(d):
d2 = opj(d, 'd1', 'd2') # deep nested directory
f = opj(d2, 'f1')
os.makedirs(d2)
with open(f, 'w') as f_:
f_.write("LOAD")
with swallow_logs():
ar = AnnexRepo(d2)
rotree(d)
# we shouldn't be able to delete anything UNLESS in "crippled" situation:
# root, or filesystem is FAT etc
# Theoretically annex should declare FS as crippled when ran as root, but
# see http://git-annex.branchable.com/bugs/decides_that_FS_is_crippled_
# under_cowbuilder___40__symlinks_supported_etc__41__/#comment-60c3cbe2710d6865fb9b7d6e247cd7aa
# so explicit 'or'
if not (ar.is_crippled_fs() or (os.getuid() == 0)):
assert_raises(OSError, os.unlink, f) # OK to use os.unlink
assert_raises(OSError, unlink, f) # and even with waiting and trying!
assert_raises(OSError, shutil.rmtree, d)
# but file should still be accessible
with open(f) as f_:
eq_(f_.read(), "LOAD")
# make it RW
rotree(d, False)
unlink(f)
shutil.rmtree(d)
def setup_cache(self):
ds_path = create_test_dataset(self.dsname, spec='2/-2/-2', seed=0)[0]
self.log("Setup cache ds path %s. CWD: %s", ds_path, getpwd())
# Will store into a tarfile since otherwise install -r is way too slow
# to be invoked for every benchmark
# Store full path since apparently setup is not ran in that directory
self.tarfile = op.realpath(SampleSuperDatasetBenchmarks.tarfile)
with tarfile.open(self.tarfile, "w") as tar:
# F.CK -- Python tarfile can't later extract those because key dirs are
# read-only. For now just a workaround - make it all writeable
from datalad.utils import rotree
rotree(self.dsname, ro=False, chmod_files=False)
tar.add(self.dsname, recursive=True)
rmtree(self.dsname)
def setup_cache(self):
# creating in CWD so things get removed when ASV is done
ds_path = create_test_dataset("testds1", spec='2/-2/-2', seed=0)[0]
# Will store into a tarfile since otherwise install -r is way too slow
# to be invoked for every benchmark
tarfile_path = opj(osp.dirname(ds_path), 'testds1.tar')
with tarfile.open(tarfile_path, "w") as tar:
# F.CK -- Python tarfile can't later extract those because key dirs are
# read-only. For now just a workaround - make it all writeable
from datalad.utils import rotree
rotree('testds1', ro=False, chmod_files=False)
tar.add('testds1', recursive=True)
rmtree('testds1')
return tarfile_path
def setup_cache(self):
# creating in CWD so things get removed when ASV is done
ds_path = create_test_dataset("testds1", spec='2/-2/-2', seed=0)[0]
# Will store into a tarfile since otherwise install -r is way too slow
# to be invoked for every benchmark
tarfile_path = opj(osp.dirname(ds_path), 'testds1.tar')
with tarfile.open(tarfile_path, "w") as tar:
# F.CK -- Python tarfile can't later extract those because key dirs are
# read-only. For now just a workaround - make it all writeable
from datalad.utils import rotree
rotree('testds1', ro=False, chmod_files=False)
tar.add('testds1', recursive=True)
rmtree('testds1')
return tarfile_path
def setup_cache(self):
ds_path = create_test_dataset(
self.dsname
, spec='2/-2/-2'
, seed=0
)[0]
self.log("Setup cache ds path %s. CWD: %s", ds_path, getpwd())
# Will store into a tarfile since otherwise install -r is way too slow
# to be invoked for every benchmark
# Store full path since apparently setup is not ran in that directory
self.tarfile = op.realpath(SampleSuperDatasetBenchmarks.tarfile)
with tarfile.open(self.tarfile, "w") as tar:
# F.CK -- Python tarfile can't later extract those because key dirs are
# read-only. For now just a workaround - make it all writeable
from datalad.utils import rotree
rotree(self.dsname, ro=False, chmod_files=False)
tar.add(self.dsname, recursive=True)
rmtree(self.dsname)