viracitapada 0.1.1

Performs metrical analysis on ISO-15919-transliterated Sanskrit verses

viracitapada

Performs metrical analysis on ISO-15919-transliterated Sanskrit verses.

Features

• usable as a library in arbitrary projects (no CLI included, yet)
• parses lines of text into a metrical notation of long/short markers via parse_meter (see examples below)
• annotates the tokens of lines of text with their metrical position via annotate_metrical_pos (see examples below)

[!NOTE] The way this library is implemented is quite naive – it uses simple string replacements matching regular expressions. This is (widely known to be) not the fastest approach to parsing things and while it probably won't be a problem in one-off applications like data transformation scripts or pipelines, it might show if used in user-facing applications that process very large amounts of data. The operations that are performed are still very trivial, so to find out if the performance is good enough for your use case, you should just give it a try.

Usage

parse_meter as well as annotate_metrical_pos will return the same type of data you threw at them. This can be either a single line of text as a str ("line one"), multiple lines of text as a str ("line one\nline two\nline three") or a list[str] containing a line of text per string (["line one", "line two", "line three"]).

Some examples:

import viracitapada as vp

vp.parse_meter("agním īḷe puróhitaṁ")
# —◡ —— ◡—◡—

vp.parse_meter("úṣo yé te ̀ prá yā́meṣu yuñjáte")
# ◡— — — · ◡ ——◡ —◡— (" `" as pause)

vp.parse_meter(
    "kadā́ vaso ̀ stotráṁ háryate ā́",
    long_mark="L",
    short_mark="S",
    pause_mark="P",
)
# "SL SL P LL LSL L"

vp.parse_meter("agním īḷe puróhitaṁ\nyajñásya devám r̥tvíjam\nhótāraṁ ratnadhā́tamam")
# —◡ —— ◡—◡—\n——◡ —◡ —◡—\n——— —◡—◡—

vp.parse_meter([
    "agním īḷe puróhitaṁ",
    "yajñásya devám r̥tvíjam",
    "hótāraṁ ratnadhā́tamam",
])
# ["—◡ —— ◡—◡—", "——◡ —◡ —◡—", "——— —◡—◡—"]

vp.annotate_metrical_pos("agním īḷe puróhitaṁ")
# 1_agním 3_īḷe 5_puróhitaṁ

vp.annotate_metrical_pos(
    "agním īḷe puróhitaṁ\nyajñásya devám r̥tvíjam\nhótāraṁ ratnadhā́tamam"
)
# 1_agním 3_īḷe 5_puróhitaṁ\n1_yajñásya 4_devám 6_r̥tvíjam\n1_hótāraṁ 4_ratnadhā́tamam

vp.annotate_metrical_pos([
    "agním īḷe puróhitaṁ",
    "yajñásya devám r̥tvíjam",
    "hótāraṁ ratnadhā́tamam",
])
# ["1_agním 3_īḷe 5_puróhitaṁ", "1_yajñásya 4_devám 6_r̥tvíjam", "1_hótāraṁ 4_ratnadhā́tamam"]

Development

This project uses uv to manage dependencies. Install uv to make use of the following commands.

Install library and dependencies in a local virtual environment:

uv sync

Check code formatting, run linter:

uv run ruff format . --check
uv run ruff check .

Format code and fix linter errors:

uv run ruff format .
uv run ruff check . --fix

Run mypy to check typing:

uv run mypy

Run tests and measure test coverage:

uv run coverage run -m pytest

Run specific tests file:

uv run coverage run -m pytest tests/test_clean.py

Print coverage report of last measured test run:

uv run coverage report -m

Run everything from above to make sure things are working and in good shape (on Unix-like systems):

./pre-commit.sh