Sticker-convert

- Display warning if not default directory name and contains files not related to sticker_convert
- Only move files that seem to be related to sticker_convert
- Execute download and upload in separate process, allowing them to be cancelled
- Cleanup multiprocessing code
- Cleanup callback system
- Gracefully shutdown on KeyboardInterrupt
- Redact CredOption during exception
- Sanitize telegram token with strip()
- Fix crash when downloading line emoji
- Fix typing with pylint
- Fix formatting with ruff
- Fix test cases
- Code cleanup
- Update dependencies

Fix stickers in/output directory defaults to site-packages

- Fix unable to get line authentication
- Fix unable to get kakao auth_token
- Cleanup imports

- Fix default directory inside unwritable directory for compiled versions
- Fix incorrect extraction of xcode imesage template archive
- Ensure duration of video do not exceed limit
- Fix fps for animation to prevent over duration limit
- Allow importing creds from json during test
- Code cleanup
- Tune default parameters

**This release contains broken Windows and macOS binaries**

Fix unable to get application resources when compiled

**This release contains broken Windows and macOS binaries**
- Add support for telegram custom emoji
- Add tests
- Fix gif fps not controlled under limit
- Fix incorrect relative paths
- Fix compression processes crash cause hang
- Fix incorrect default stickers directory for docker
- Remove redundant codec check in job
- Fix dropping not enough frames causing duration too long
- Fix apng become static after import
- Fix incorrect check_format call
- Fix getting incorrect duration from pyav
- Prevent _frames_export_apng selected for apng without frame
- Do not change directory on startup
- Use pathlib for path operation
- More reliable method for determining export method
- Show smallest size achieved for failed compression
- Prevent crash if images with no is_animated property is given
- Fix creation of cover images
- Tune default compression values
- Cleanup quantizing image code