sbits
Succinct data structures -- bit vector rank/select, Elias-Fano compressed integer sequences, and wavelet trees -- with near-optimal space and constant or logarithmic query time. Backed by a Rust implementation.
Python bindings for the sbits Rust crate.
Install
pip install sbits
Quick start
from sbits import BitVector, EliasFano, WaveletTree
# Bit vector with O(1) rank and select
bv = BitVector([True, False, True, True, False, True])
bv.rank(4) # 3 -- number of set bits in [0, 4)
bv.select(2) # 3 -- position of the 3rd set bit (0-indexed)
bv.get(0) # True
# Elias-Fano compressed sorted integers with O(1) access
ef = EliasFano([10, 20, 30, 100, 1000])
ef[0] # 10
ef[2] # 30
30 in ef # True
# Wavelet tree: rank/select over arbitrary integer alphabets
wt = WaveletTree([3, 1, 2, 0, 3, 0, 1, 2], sigma=4)
wt.access(0) # 3
wt.rank(3, 8) # 2 -- occurrences of 3 in [0, 8)
wt.select(3, 0) # 0 -- position of first 3
API
| Name | Description |
|---|---|
BitVector(bits) |
Construct from booleans, supports rank/select/get |
BitVector.rank(i) |
Count set bits in [0, i), O(1) |
BitVector.select(k) |
Position of k-th set bit (0-indexed), O(1) |
BitVector.get(i) |
Test whether bit i is set |
BitVector.count_ones() |
Total number of set bits |
BitVector.to_numpy() |
Export as numpy boolean array |
EliasFano(values) |
Construct from sorted non-negative integers |
EliasFano.get(i) |
Value at index i, O(1) |
EliasFano.contains(v) |
Membership test |
EliasFano.to_numpy() |
Export as numpy uint32 array |
WaveletTree(data, sigma) |
Construct from symbol sequence and alphabet size |
WaveletTree.rank(sym, i) |
Count occurrences of sym in [0, i), O(log sigma) |
WaveletTree.select(sym, k) |
Position of k-th occurrence of sym, O(log sigma) |
WaveletTree.access(i) |
Symbol at position i, O(log sigma) |
numpy support
Constructors accept numpy arrays or Python lists. Export methods (to_numpy) return numpy arrays. BitVector and EliasFano support len(), indexing, and in.
License
MIT OR Apache-2.0
1 maintainer
Release files for sbits 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distributions (wheels)
Total release size: 9.4 MB
Release files / sbits-0.1.1-pp311-pypy311_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
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| Tags | Linux glibc 2.17+ x86-64 PyPy 3.11 PyPy 3.11 7.3 |
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