1adrianb / 1adrianb/face-alignment

Retroactive change in version 1.3.5 package

Aperta
#341 0 commenti 3 reazioni 0 assegnatari Vedi su GitHub
Lingua principale
Python
Stelle
7.5k
Fork
1.4k
Metriche di merge delle PR
Nessuna PR unita negli ultimi 30g

Descrizione

This has been a particularly interesting one to debug! Possibly related to https://github.com/1adrianb/face-alignment/issues/340?

I've got some machine instances that were set up last week and are running fine on version 1.3.5 - I spun up a couple more this afternoon and they're all failing at `face_alignment.LandmarksType._2D`. Immediate assumption was just a version mismatch in my setup scripts somewhere, but `pip show` reports 1.3.5 on all instances, and looking at `__init__.py` confirms that.

Long story short, `api.py` differs on machines where the library was installed a few days ago from ones where it was installed today, despite `__init__.py` matching for both. PyPI is still [showing](https://pypi.org/project/face-alignment/1.3.5/#history) the 1.3.5 release date as 2021-09-14, but installing version 1.3.5 today gives a version that uses the `TWO_D` naming convention (rather than `_2D`), which was introduced in commit https://github.com/1adrianb/face-alignment/commit/34e436a103879c35ac58b7d2648af73b68e1112c on 2022-06-20.

It looks as though it's now installing as a wheel package rather than an egg package, which could explain how there are two 1.3.5s, although I'm not familiar enough with the inner workings of `pip`/PyPI to know why they would differ.

Guida per i contributori

Nessuna guida per i contributori indicizzata per questo repository

Direzione di ricerca

Check the PyPI release history and the package's wheel vs egg distribution. Look at api.py and __init__.py in the 1.3.5 tag to see the naming discrepancy (TWO_D vs _2D). Understand how pip installs different artifacts for the same version. The fix likely involves updating the package metadata or re-releasing a corrected version.

Scritto dal modello di indicizzazione a partire dal testo della issue.

Valutazione

Stack tecnologico
python, pytorch
Ambito
build-system, release
Tipo di issue
Bug
Difficoltà
4/5
Tempo stimato
3-5 giorni
Stato di attività
Ferma
Chiarezza
Abbastanza chiara
Idoneità per principianti
30/100

Ricevi le nuove issue nella tua casella

Un breve riepilogo di issue GitHub adatte ai principianti.