def __check_reportlab():
import reportlab as rl
versions['reportlab'] = SmartVersion(rl.Version)
def __assign_matplotlib_version():
"""Check for matplotlib version and set backend if requested."""
import matplotlib
versions['matplotlib'] = SmartVersion(matplotlib.__version__)
_set_matplotlib_backend()
def __check_h5py():
__check('h5py', 'version.version')
import h5py
versions['hdf5'] = SmartVersion(h5py.version.hdf5_version)
versions['mdp'] = SmartVersion(ver)
def __assign_nibabel_version():
try:
import nibabel
except Exception, e:
# FloatingError is defined in the same module which precludes
# its specific except
e_str = str(e)
if "We had not expected long double type <type 'numpy.float128'>" in e_str:
warning("Must be running under valgrind? Available nibabel experiences "
"difficulty with float128 upon import and fails to work, thus is "
"report as N/A")
raise ImportError("Fail to import nibabel due to %s" % e_str)
raise
versions['nibabel'] = SmartVersion(nibabel.__version__)
def __check_pywt(features=None):
"""Check for available functionality within pywt
Parameters
----------
features : list of str
List of known features to check such as 'wp reconstruct',
'wp reconstruct fixed'
"""
import pywt
import numpy as np
data = np.array(
[0.57316901, 0.65292526, 0.75266733, 0.67020084, 0.46505364,
0.76478331, 0.33034164, 0.49165547, 0.32979941, 0.09696717,
def __assign_numpy_version():
"""Check if numpy is present (it must be) an if it is -- store its version
"""
import numpy as np
versions['numpy'] = SmartVersion(np.__version__)
