def test_smoke(lt_ctx): """ just check if the analysis runs without throwing exceptions: """ data = _mk_random(size=(16 * 16, 16, 16), dtype="float32") dataset = MemoryDataSet(data=data, tileshape=(1, 16, 16), num_partitions=2, sig_dims=2) blobfinder.run_blobfinder(ctx=lt_ctx, dataset=dataset, parameters={ 'num_disks': 1, 'radius': 4, 'padding': 0, 'mask_type': 'radial_gradient', })
def test_smoke(lt_ctx): """ just check if the analysis runs without throwing exceptions: """ data = _mk_random(size=(16 * 16, 16, 16), dtype="float32") dataset = MemoryDataSet(data=data, tileshape=(1, 16, 16), num_partitions=2, sig_dims=2) match_pattern = blobfinder.RadialGradient(radius=4) blobfinder.run_blobfinder(ctx=lt_ctx, dataset=dataset, num_peaks=1, match_pattern=match_pattern)