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A library for rapid computation of Neuroglancer Precomputed shard hashes.

Project description

Automated Tests PyPI version


Perform accelerated shard hash computation for Neuroglancer Precomputed shards.

import shardcomputer

preshift_bits = 0
shard_bits = 11
minishard_bits = 8

label = 12949142

shard_no = shardcomputer.shard_number(label, preshift_bits, shard_bits, minishard_bits)

# let labels be a uint64 numpy array of labels
# e.g. set(['4d2'])
shard_no_set = shardcomputer.unique_shard_numbers(
	labels, preshift_bits, shard_bits, minishard_bits

# Returns shard number -> label list dict
# e.g. {'4d2': [12949142]}
shard_no_to_labels = shardcomputer.assign_labels_to_shards(
	label, preshift_bits, shard_bits, minishard_bits


pip install shard-computer


Thank you to Austin Appleby for placing MurMurhash3 into the public domain.

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