def test_simulate_asl_full_physio_outputs(self):
phy.simulate_asl_full_physio(self.tmp_path)
def makefn(fn):
return op.join(self.tmp_path, fn)
self.assertTrue(op.exists(makefn('flow_induction.nii')))
self.assertTrue(op.exists(makefn('neural_efficacies_audio.nii')))
def test_simulate_asl_full_physio_outputs(self):
phy.simulate_asl_full_physio(self.tmp_path)
def makefn(fn):
return op.join(self.tmp_path, fn)
self.assertTrue(op.exists(makefn('flow_induction.nii')))
self.assertTrue(op.exists(makefn('neural_efficacies_audio.nii')))
def test_simulate_asl_full_physio_outputs(self):
pyhrf.verbose.set_verbosity(1)
phy.simulate_asl_full_physio(self.tmp_path)
def makefn(fn):
return op.join(self.tmp_path, fn)
self.assertTrue(op.exists(makefn("flow_induction.nii")))
self.assertTrue(op.exists(makefn("neural_efficacies_audio.nii")))
def test_simulate_asl_full_physio_outputs(self):
# pyhrf.verbose.set_verbosity(0)
pyhrf.logger.setLevel(logging.WARNING)
phy.simulate_asl_full_physio(self.tmp_path)
def makefn(fn):
return op.join(self.tmp_path, fn)
self.assertTrue(op.exists(makefn('flow_induction.nii')))
self.assertTrue(op.exists(makefn('neural_efficacies_audio.nii')))
def test_simulate_asl_full_physio(self):
r = phy.simulate_asl_full_physio()
# let's just test the shapes of objects and the presence of some
# physio-specific simulation items
item_names = r.keys()
self.assertIn('perf_stim_induced', item_names)
self.assertIn('flow_induction', item_names)
self.assertIn('perf_stim_induced', item_names)
self.assertEqual(r['labels_vol'].shape, (3, 1, 2, 2))
def test_simulate_asl_full_physio(self):
r = phy.simulate_asl_full_physio()
# let's just test the shapes of objects and the presence of some
# physio-specific simulation items
item_names = r.keys()
self.assertIn('perf_stim_induced', item_names)
self.assertIn('flow_induction', item_names)
self.assertIn('perf_stim_induced', item_names)
self.assertEqual(r['labels_vol'].shape, (3, 1, 2, 2))
def test_simulate_asl_full_physio(self):
pyhrf.verbose.set_verbosity(0)
r = phy.simulate_asl_full_physio()
# let's just test the shapes of objects and the presence of some
# physio-specific simulation items
item_names = r.keys()
self.assertIn("perf_stim_induced", item_names)
self.assertIn("flow_induction", item_names)
self.assertIn("perf_stim_induced", item_names)
self.assertEqual(r["labels_vol"].shape, (3, 1, 2, 2)) # cond, spatial axes
self.assertEqual(r["bold"].shape, (297, 4)) # nb scans, flat spatial axis
def test_simulate_asl_full_physio(self):
# pyhrf.verbose.set_verbosity(0)
pyhrf.logger.setLevel(logging.WARNING)
r = phy.simulate_asl_full_physio()
# let's just test the shapes of objects and the presence of some
# physio-specific simulation items
item_names = r.keys()
self.assertIn('perf_stim_induced', item_names)
self.assertIn('flow_induction', item_names)
self.assertIn('perf_stim_induced', item_names)
# cond, spatial axes
self.assertEqual(r['labels_vol'].shape, (3, 1, 2, 2))
