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)