def test_rfir_on_small_simulation(self):
""" Check if pyhrf.rfir runs properly and that returned outputs
contains the expected items """
fdata = simu.create_small_bold_simulation()
outputs = rfir(fdata, nb_its_max=2)
assert isinstance(outputs, dict)
for k in ["fir", "fir_error", "fit", "drift"]:
assert outputs.has_key(k)
def test_rfir_on_small_simulation(self):
""" Check if pyhrf.rfir runs properly and that returned outputs
contains the expected items """
fdata = simu.create_small_bold_simulation()
outputs = rfir(fdata, nb_its_max=2)
assert isinstance(outputs, dict)
for k in ["fir", "fir_error", "fit", "drift"]:
assert outputs.has_key(k)
def test_results_small_simulation(self):
"""
TODO: move to validation
"""
#output_dir = pyhrf.get_tmp_path()
output_dir = './'
fdata = simu.create_small_bold_simulation(output_dir=output_dir)
pyhrf.verbose.set_verbosity(0)
outputs = rfir(fdata, nb_its_max=500, nb_its_min=100)
m = fdata.roiMask
for k,o in outputs.iteritems():
output_fn = op.join(output_dir, k + '.nii')
o.expand(m, "voxel", target_axes=MRI3Daxes).save(output_fn)
def test_results_small_simulation(self):
"""
TODO: move to validation
"""
#output_dir = pyhrf.get_tmp_path()
output_dir = './'
fdata = simu.create_small_bold_simulation(output_dir=output_dir)
# pyhrf.verbose.set_verbosity(0)
pyhrf.logger.setLevel(logging.WARNING)
outputs = rfir(fdata, nb_its_max=500, nb_its_min=100)
m = fdata.roiMask
for k,o in outputs.iteritems():
output_fn = op.join(output_dir, k + '.nii')
o.expand(m, "voxel", target_axes=MRI3Daxes).save(output_fn)