Minimal compression library for sparse or contiguous 1D numpy boolean arrays
Project description
rp-annot
Minimal compression library for sparse or contiguous 1D numpy boolean arrays.
Only depends on numpy
Install
The latest version is available via PyPI (https://pypi.org/project/rp-annot)
pip install rp-annot
Example usage
import rp_annot as rpa
import numpy as np
np_1d_bool_array = np.zeros(100000, dtype=bool)
np_1d_bool_array[20000:50000] = True
compressed = rpa.compress(np_1d_bool_array) # 16 bytes
decompressed = rpa.decompress(compressed, len(np_1d_bool_array))
assert np.array_equal(np_1d_bool_array, decompressed)
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rp_annot-0.0.3.tar.gz
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