def test_get_padded_slice_data(self):
data, pData = tu.get_data_object(tu.load_test_data("tomo"))
data._finalise_patterns()
pData.plugin_data_setup('PROJECTION', 1)
data.padding = {'pad_multi_frames': 10}
padding = Padding(pData.get_pattern())
for key in data.padding.keys():
getattr(padding, key)(data.padding[key])
return padding._get_padding_directions()
def test_get_padded_slice_data(self):
data, pData = tu.get_data_object(tu.load_test_data("tomo"))
data._finalise_patterns()
pData.plugin_data_setup('PROJECTION', 1)
data.padding = {'pad_multi_frames': 10}
padding = Padding(pData.get_pattern())
for key in data.padding.keys():
getattr(padding, key)(data.padding[key])
return padding._get_padding_directions()
def test_slice_group(self):
data, pData = tu.get_data_object(tu.load_test_data("tomo"))
pData.plugin_data_setup('PROJECTION', 8)
gsl = data._get_grouped_slice_list()
self.assertEqual(len(gsl), 12)
self.assertEqual(len(gsl[0]), 3)
pData.plugin_data_setup('SINOGRAM', 8)
gsl = data._get_grouped_slice_list()
self.assertEqual(len(gsl), 17)
self.assertEqual(len(gsl[0]), 3)
def test_slice_group(self):
data, pData = tu.get_data_object(tu.load_test_data("tomo"))
pData.plugin_data_setup('PROJECTION', 8)
gsl = data.get_grouped_slice_list()
self.assertEqual(len(gsl), 12)
self.assertEqual(len(gsl[0]), 3)
pData.plugin_data_setup('SINOGRAM', 8)
gsl = data.get_grouped_slice_list()
self.assertEqual(len(gsl), 17)
self.assertEqual(len(gsl[0]), 3)
def test_get_slice_list_per_process(self):
exp = tu.load_test_data("tomo")
data, pData = tu.get_data_object(exp)
processes = ['t', 't', 't', 't']
pData.plugin_data_setup('PROJECTION', 1)
sl = data._single_slice_list()
total = []
for i in range(len(processes)):
tu.set_process(exp, i, processes)
data._get_slice_list_per_process(exp.meta_data)
total.append(data._get_slice_list_per_process(exp.meta_data)[0])
self.assertEqual(len(sl), sum(len(t) for t in total))
pData.plugin_data_setup('SINOGRAM', 1)
sl = data._single_slice_list()
total = []
for i in range(len(processes)):
tu.set_process(exp, i, processes)
total.append(data._get_slice_list_per_process(exp.meta_data)[0])
self.assertEqual(len(sl), sum(len(t) for t in total))
pData.plugin_data_setup('PROJECTION', 8)
sl = data._get_grouped_slice_list()
total = []
for i in range(len(processes)):
tu.set_process(exp, i, processes)
total.append(data._get_slice_list_per_process(exp.meta_data)[0])
self.assertEqual(len(sl), sum(len(t) for t in total))
pData.plugin_data_setup('SINOGRAM', 1)
sl = data._get_grouped_slice_list()
total = []
for i in range(len(processes)):
tu.set_process(exp, i, processes)
total.append(data._get_slice_list_per_process(exp.meta_data)[0])
self.assertEqual(len(sl), sum(len(t) for t in total))
def test_get_slice_list_per_process(self):
exp = tu.load_test_data("tomo")
data, pData = tu.get_data_object(exp)
processes = ['t', 't', 't', 't']
pData.plugin_data_setup('PROJECTION', 1)
sl = data.single_slice_list()
total = []
for i in range(len(processes)):
tu.set_process(exp, i, processes)
total.append(data.get_slice_list_per_process(exp.meta_data))
self.assertEqual(len(sl), sum(len(t) for t in total))
pData.plugin_data_setup('SINOGRAM', 1)
sl = data.single_slice_list()
total = []
for i in range(len(processes)):
tu.set_process(exp, i, processes)
total.append(data.get_slice_list_per_process(exp.meta_data))
self.assertEqual(len(sl), sum(len(t) for t in total))
pData.plugin_data_setup('PROJECTION', 8)
sl = data.get_grouped_slice_list()
total = []
for i in range(len(processes)):
tu.set_process(exp, i, processes)
total.append(data.get_slice_list_per_process(exp.meta_data))
self.assertEqual(len(sl), sum(len(t) for t in total))
pData.plugin_data_setup('SINOGRAM', 1)
sl = data.get_grouped_slice_list()
total = []
for i in range(len(processes)):
tu.set_process(exp, i, processes)
total.append(data.get_slice_list_per_process(exp.meta_data))
self.assertEqual(len(sl), sum(len(t) for t in total))
