dacapo.blockwise.relabel_worker

Module Contents

Functions

cli(log_level)
start_worker(output_container, output_dataset, tmpdir, ...)
relabel_in_block(array_out, old_values, new_values, block)
find_components(nodes, edges)
read_cross_block_merges(tmpdir)
spawn_worker(output_array_identifier, tmpdir, *args, ...)	Spawn a worker to predict on a given dataset.

Attributes

fit
read_write_conflict
path

dacapo.blockwise.relabel_worker.cli(log_level)

dacapo.blockwise.relabel_worker.fit = 'shrink'

dacapo.blockwise.relabel_worker.read_write_conflict = False

dacapo.blockwise.relabel_worker.path

dacapo.blockwise.relabel_worker.start_worker(output_container, output_dataset, tmpdir, *args, **kwargs)

dacapo.blockwise.relabel_worker.relabel_in_block(array_out, old_values, new_values, block)

dacapo.blockwise.relabel_worker.find_components(nodes, edges)

dacapo.blockwise.relabel_worker.read_cross_block_merges(tmpdir)

dacapo.blockwise.relabel_worker.spawn_worker(output_array_identifier: dacapo.store.array_store.LocalArrayIdentifier, tmpdir: str, *args, **kwargs)

Spawn a worker to predict on a given dataset.

Parameters:

• output_array_identifier (LocalArrayIdentifier) – The output array identifier

• tmpdir (str) – The temporary directory