wavelet-matrix 2.1.8

High-performance indexed sequence data structure powered by Rust, supporting fast rank/select and range queries.

Wavelet Matrix

High-performance Wavelet Matrix implementation powered by Rust,
supporting fast rank / select / range queries over indexed sequences

• PyPI: https://pypi.org/project/wavelet-matrix
• Document: https://math-hiyoko.github.io/wavelet-matrix
• Repository: https://github.com/math-hiyoko/wavelet-matrix

Features:

• Fast rank, select, quantile
• Rich range queries (freq / sum / top-k / min / max)
• Optional dynamic updates (insert / remove / update)
• Safe Rust (no unsafe)

Installation

pip install wavelet-matrix

WaveletMatrix

WaveletMatrix indexes a static sequence of integers,
enabling fast queries where runtime depends on bit-width, not data size.

from wavelet_matrix import WaveletMatrix

data = [5, 4, 5, 5, 2, 1, 5, 6, 1, 3, 5, 0]
wm = WaveletMatrix(data)

Frequency Queries

Count occurrences (rank)

wm.rank(value=5, end=9)
# 4

Find position (select)

wm.select(value=5, kth=4)
# 6

Order Statistics

k-th smallest value (quantile)

wm.quantile(start=2, end=12, kth=8)
# 5

Range Aggregation

Sum values (range_sum)

wm.range_sum(start=2, end=8)
# 24

Count values in [lower, upper) (range_freq)

wm.range_freq(start=1, end=9, lower=4, upper=6)
# 4

List values with counts (range_list)

wm.range_list(start=1, end=9, lower=4, upper=6)
# [{'value': 4, 'count': 1}, {'value': 5, 'count': 3}]

Top-K Queries

Most frequent values (topk)

wm.topk(start=1, end=10, k=2)
# [{'value': 5, 'count': 3}, {'value': 1, 'count': 2}]

Extreme values (range_maxk / range_mink)

wm.range_maxk(start=1, end=9, k=2)
# [{'value': 6, 'count': 1}, {'value': 5, 'count': 3}]
wm.range_mink(start=1, end=9, k=2)
# [{'value': 1, 'count': 2}, {'value': 2, 'count': 1}]

Boundary Queries

wm.prev_value(start=1, end=9, upper=7)
# 6
wm.next_value(start=1, end=9, lower=4)
# 4

DynamicWaveletMatrix

DynamicWaveletMatrix supports mutable sequences with insert/remove/update.

Trade-off:

• Higher overhead
• Values must fit within max_bit

from wavelet_matrix import DynamicWaveletMatrix

dwm = DynamicWaveletMatrix(data, max_bit=4)

Insert

dwm.insert(index=4, value=8)

Remove

dwm.remove(index=4)

Update

dwm.update(index=4, value=5)
# or dwm[4] = 5

Safety

• Powered by safe Rust
• Memory-safe by design

Development

Running Tests

pip install -e ".[test]"
cargo test --all --release
pytest

Formating Code

pip install -e ".[dev]"
cargo fmt
ruff format

Generating Docs

pdoc wavelet_matrix \
      --output-directory docs \
      --no-search \
      --docformat markdown \
      --template-directory pdoc_templates

References

• Francisco Claude, Gonzalo Navarro, Alberto Ordóñez,
  The wavelet matrix: An efficient wavelet tree for large alphabets,
  Information Systems,
  Volume 47,
  2015,
  Pages 15-32,
  ISSN 0306-4379,
  https://doi.org/10.1016/j.is.2014.06.002.