def __init__(self, string_p, float_p, int_p, array_p, obj_p):
Initable.__init__(self)
self.string_p = string_p
self.float_p = float_p
self.int_p = int_p
self.array_p = array_p
self.obj_p = obj_p
def __init__(self, stim_onsets=unstack_trees(DEFAULT_ONSETS)[0],
stim_durations=unstack_trees(DEFAULT_STIM_DURATIONS)[0],
func_data_file=DEFAULT_BOLD):
Initable.__init__(self)
self.onsets = stim_onsets
self.durations = stim_durations
self.func_data_file = func_data_file
def __init__(self, geometry=MaskUI(), sessions_data=[SessionDataUI()],
tr=DEFAULT_TR):
Initable.__init__(self)
self.mask_ui = geometry
self.sessions_data_ui = sessions_data
self.tr = tr
self.data_type = geometry.data_type
def __init__(self, data=FmriData(), analyser=Analyser(), info={},
l=[5,6]):
Initable.__init__(self)
self.data = data
self.analyser = analyser
self.info = info
self.list = l
def __init__(self, data=FmriDataUI(), analyser=AnalyserUI(),
result_dump_file=None, output_dir=None):
Initable.__init__(self)
self.data_ui = data
self.analyser_ui = analyser
self.data = None
self.analyser = None
def test_from_numpy1D(self):
n = UiNode.from_py_object('n', np.arange(5))
if 0:
print 'n:'
print n.log()
o = Initable.from_ui_node(n)
assert_array_equal(o, np.arange(5))
def test_from_ui_node_basic(self):
d = Dummy('a', 1.3, 5, np.arange(5), Dummy2('rr'))
root_node = d.to_ui_node('dummy')
d2 = Initable.from_ui_node(root_node)
self.assertEqual(d.string_p, d2.string_p)
self.assertEqual(d.float_p, d2.float_p)
self.assertEqual(d.int_p, d2.int_p)
assert_array_equal(d.array_p, d2.array_p)
def test_from_numpy_scalar(self):
a = np.float128(1.2)
n = UiNode.from_py_object('a', a)
if 0:
print 'n:'
print n.log()
o = Initable.from_ui_node(n)
self.assertEqual(o, a)
self.assertEqual(o.dtype, a.dtype)
def test_from_numpyND(self):
sh = (2,3,4,5)
a = np.arange(np.prod(sh)).reshape(sh)
n = UiNode.from_py_object('n', a)
if 0:
print 'n:'
print n.log()
o = Initable.from_ui_node(n)
assert_array_equal(o, a)
def __init__(self, nb_iterations=1000, make_outputs=True):
Initable.__init__(self)
self.nb_iterations = nb_iterations
self.make_outputs = make_outputs
def __init__(self, paradigm=np.arange(5).astype(int),
func_file='./bold.nii'):
Initable.__init__(self)
self.paradigm = paradigm
self.func_file = func_file
def __init__(self, d):
Initable.__init__(self)
self.d = d
def __init__(self):
Initable.__init__(self)
def from_xml(self, xml):
from pyhrf.sandbox.design_and_ui import UiNode
return Initable.from_ui_node(UiNode.from_xml(xml))
def __init__(self, mask_file=DEFAULT_MASK, mesh_file=None,
data_type='volume'):
Initable.__init__(self)
self.mask_file = mask_file
self.mesh_file = mesh_file
self.data_type = data_type
def __init__(self, p=3):
Initable.__init__(self)
self.p = p
def __init__(self, paradigm_file=DEFAULT_PARADIGM_CSV,
func_data_files=[DEFAULT_BOLD]):
Initable.__init__(self)
self.paradigm_file = paradigm_file
self.func_data_files = func_data_files