camat 0.1.1

CAMAT: tools for symbolic music parsing, analysis, and rendering.

CAMAT

CAMAT is a Python toolkit for symbolic music parsing, analysis, pattern search, and score rendering.

Optimized for Python => 3.11

Installation

pip install camat

What Is Included

• Parsing helpers for music21 and partitura backends.
• Pattern search and similarity utilities.
• Piano-roll and overlay visualization helpers.
• Verovio-based rendering utilities.

Quick Start

from camat import get_parse_files, run_pattern_search

parse_files = get_parse_files("music21")  # or "partitura"
results, dfs_by_name, last_df = parse_files(["path/to/score.mxl"])

# Example: run pattern search on a matrix and kernel
# out = run_pattern_search(matrix_source, kernel_source)

Mensural MEI Helper

If your MEI files use mensural duration labels (for example semibrevis), you can normalize them for partitura compatibility:

python scripts/normalize_mensural_mei.py path/to/input.mei -o path/to/output.mei

You can override injected default meter if needed:

python scripts/normalize_mensural_mei.py path/to/input.mei -o path/to/output.mei --meter-count 2 --meter-unit 2

parse_files_partitura applies this preprocessing automatically by default:

• normalize_mensural_durations=True
• inject_missing_meter_signature=True (defaults to 4/4, configurable)
• prefer_verovio_for_mensural=True (detects mensural MEI markers and runs Verovio first)
• try_verovio_mei_conversion=True (retries unsupported MEI structures through Verovio, still using partitura)
• verovio_mensural_to_cmn=True
• verovio_duration_equivalence=None (set if you want explicit mensural-to-CMN scaling)
• verovio_mensural_score_up=False

If you want a strict partitura-only workflow (no music21 fallback), set:

• allow_music21_fallback=False

Repository Layout

• camat/: package source used for PyPI distribution.
• CAMAT_revamped/: legacy development notebooks and experiments.
• CHANGELOG.md: release notes.
• test_corpus - various test data

License

MIT (see LICENSE).