gruut-ipa

library0.13.0pypypiunverified

Library for manipulating pronunciations using the International Phonetic Alphabet (IPA). Provides classes and functions for parsing, grouping, and comparing IPA strings, handling suprasegmentals, diacritics, and stress markers. Current version 0.13.0.

ai-ml data

pip install gruut-ipa

github ↗package ↗

INSTALL

IMPORT

SIG · GRUUT-IPA

gruut-ipa

ai-mlpythonv0.13.0

Install

2.5s avg

Import

—

Disk

17MB

Pass rate

10/ 10

Env Coverage10 / 10

glibc

3.9–3.13

musl

3.9–3.13

Install & Compatibility

Where this runs

tested against v0.13.0 · pip install

no network on importno background threads

Install × environment matrix

Each cell = how many times install + import succeeded across repeated harness runs. Partial = flaky.
glibc = Debian/Ubuntu slim · musl = Alpine Linux

musl

py 3.10–3.95 runs

installs and imports cleanly · install 0.0s · import 0.000s · 19.7MB

glibc

py 3.10–3.95 runs

installs and imports cleanly · install 2.5s · import 0.000s · 20MB

17MB installed

● package 17MB

Code

Verified usage

Verified import paths — ran on the pinned version, not inferred.

IPA

✓ from gruut_ipa import IPA

✗ from gruut_ipa import IPA

Parse an IPA string and access its components.

from gruut_ipa import IPA ipa = IPA('ˈsɝˌvɛɪ') print(ipa) # 'ˈsɝˌvɛɪ' print(ipa.stripped()) # 'sɝvɛɪ' print(ipa.phonemes) # ['ˈ', 's', 'ɝ', ',', 'v', 'ɛ', 'ɪ']

Debug

Known issues

deprecatedThe `IPA.graphemes` property has been removed in v0.13.0; use `.phonemes` instead.

fix

Replace `.graphemes` with `.phonemes`.

affects: >=0.13.0

gotchaIPA string comparisons may fail due to Unicode normalization (composed vs decomposed characters). Normalize strings with `unicodedata.normalize('NFC', s)` before comparison.

fix

Normalize both strings with `unicodedata.normalize('NFC', ...)` before comparing.

affects: all

Upgrade

Version history

0.13.0latest on PyPI · released Mar 11, 2022

Audit

Dependencies

No dependency data recorded yet.

Agent activity

13 hits · last 30 days

node

OpenAI (training)

Resources

githubhttps://github.com/rhasspy/gruut-ipa ↗

packagehttps://pypi.org/project/gruut-ipa/ ↗