def test_joblib_cache():
if not LooseVersion(nibabel.__version__) > LooseVersion('1.1.0'):
# Old nibabel do not pickle
raise SkipTest
from sklearn.externals.joblib import hash, Memory
mask = np.zeros((40, 40, 40))
mask[20, 20, 20] = 1
mask_img = Nifti1Image(mask, np.eye(4))
with testing.write_tmp_imgs(mask_img, create_files=True)\
as filename:
masker = NiftiMasker(mask_img=filename)
masker.fit()
mask_hash = hash(masker.mask_img_)
masker.mask_img_.get_data()
assert_true(mask_hash == hash(masker.mask_img_))
# Test a tricky issue with memmapped joblib.memory that makes
# imgs return by inverse_transform impossible to save
cachedir = mkdtemp()
try:
masker.memory = Memory(cachedir=cachedir, mmap_mode='r',
verbose=0)
X = masker.transform(mask_img)
# inverse_transform a first time, so that the result is cached
out_img = masker.inverse_transform(X)
out_img = masker.inverse_transform(X)
out_img.to_filename(os.path.join(cachedir, 'test.nii'))
finally:
shutil.rmtree(cachedir, ignore_errors=True)
def test_joblib_cache():
if not LooseVersion(nibabel.__version__) > LooseVersion('1.1.0'):
# Old nibabel do not pickle
raise SkipTest
from sklearn.externals.joblib import hash, Memory
mask = np.zeros((40, 40, 40))
mask[20, 20, 20] = 1
mask_img = Nifti1Image(mask, np.eye(4))
with testing.write_tmp_imgs(mask_img, create_files=True)\
as filename:
masker = NiftiMasker(mask_img=filename)
masker.fit()
mask_hash = hash(masker.mask_img_)
masker.mask_img_.get_data()
assert_true(mask_hash == hash(masker.mask_img_))
# Test a tricky issue with memmapped joblib.memory that makes
# imgs return by inverse_transform impossible to save
cachedir = mkdtemp()
try:
masker.memory = Memory(cachedir=cachedir, mmap_mode='r', verbose=0)
X = masker.transform(mask_img)
# inverse_transform a first time, so that the result is cached
out_img = masker.inverse_transform(X)
out_img = masker.inverse_transform(X)
out_img.to_filename(os.path.join(cachedir, 'test.nii'))
finally:
shutil.rmtree(cachedir, ignore_errors=True)
def test_joblib_cache():
from joblib import hash, Memory
mask = np.zeros((40, 40, 40))
mask[20, 20, 20] = 1
mask_img = Nifti1Image(mask, np.eye(4))
with testing.write_tmp_imgs(mask_img, create_files=True) as filename:
masker = NiftiMasker(mask_img=filename)
masker.fit()
mask_hash = hash(masker.mask_img_)
get_data(masker.mask_img_)
assert mask_hash == hash(masker.mask_img_)
# Test a tricky issue with memmapped joblib.memory that makes
# imgs return by inverse_transform impossible to save
cachedir = mkdtemp()
try:
masker.memory = Memory(location=cachedir, mmap_mode='r', verbose=0)
X = masker.transform(mask_img)
# inverse_transform a first time, so that the result is cached
out_img = masker.inverse_transform(X)
out_img = masker.inverse_transform(X)
out_img.to_filename(os.path.join(cachedir, 'test.nii'))
finally:
# enables to delete "filename" on windows
del masker
shutil.rmtree(cachedir, ignore_errors=True)
