def test_h5py_io():
skip_if_no_external('h5py')
tempdir = tempfile.mkdtemp()
# store random dataset to file
ds = datasets['3dlarge']
ds.save(os.path.join(tempdir, 'plain.hdf5'))
# reload and check for identity
ds2 = Dataset.from_hdf5(os.path.join(tempdir, 'plain.hdf5'))
assert_array_equal(ds.samples, ds2.samples)
for attr in ds.sa:
assert_array_equal(ds.sa[attr].value, ds2.sa[attr].value)
for attr in ds.fa:
assert_array_equal(ds.fa[attr].value, ds2.fa[attr].value)
assert_true(len(ds.a.mapper), 2)
# since we have no __equal__ do at least some comparison
if __debug__:
# debug mode needs special test as it enhances the repr output
# with module info and id() appendix for objects
assert_equal('#'.join(repr(ds.a.mapper).split('#')[:-1]),
'#'.join(repr(ds2.a.mapper).split('#')[:-1]))
else:
assert_equal(repr(ds.a.mapper), repr(ds2.a.mapper))
#cleanup temp dir
shutil.rmtree(tempdir, ignore_errors=True)
def test_h5py_io():
skip_if_no_external('h5py')
tempdir = tempfile.mkdtemp()
# store random dataset to file
ds = datasets['3dlarge']
ds.save(os.path.join(tempdir, 'plain.hdf5'))
# reload and check for identity
ds2 = Dataset.from_hdf5(os.path.join(tempdir, 'plain.hdf5'))
assert_array_equal(ds.samples, ds2.samples)
for attr in ds.sa:
assert_array_equal(ds.sa[attr].value, ds2.sa[attr].value)
for attr in ds.fa:
assert_array_equal(ds.fa[attr].value, ds2.fa[attr].value)
assert_true(len(ds.a.mapper), 2)
# since we have no __equal__ do at least some comparison
assert_equal(repr(ds.a.mapper), repr(ds2.a.mapper))
#cleanup temp dir
shutil.rmtree(tempdir, ignore_errors=True)
