docs: use makazanalpamys@gmail.com as the maintainer contact

The Code of Conduct pointed at an address that is no longer read, and it was
the only contact route in the repository, so a report sent there went nowhere.

SECURITY.md gains it as a fallback rather than a replacement: private GitHub
Security Advisories stay the preferred channel, but the list had a single
entry and no path for a reporter without a GitHub account.

pyproject gains an `email` on the author entry, which is what PyPI renders as
the package contact - it had a name and no way to reach anyone. Metadata only;
it takes effect on the next publish and changes nothing at runtime.
This commit is contained in:
Alpamys 2026-08-01 14:51:23 +05:00
parent b060c99a7f
commit dd9818e8f3
3 changed files with 3 additions and 2 deletions

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@ -36,7 +36,7 @@ This Code of Conduct applies within all community spaces, and also applies when
## Enforcement
Instances of abusive, harassing, or otherwise unacceptable behavior may be reported to the project maintainer at **vpn.alpamys@gmail.com**. All complaints will be reviewed and investigated promptly and fairly.
Instances of abusive, harassing, or otherwise unacceptable behavior may be reported to the project maintainer at **makazanalpamys@gmail.com**. All complaints will be reviewed and investigated promptly and fairly.
All community leaders are obligated to respect the privacy and security of the reporter of any incident.

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@ -17,6 +17,7 @@ for anything security-sensitive.
- Preferred: open a private report via
[GitHub Security Advisories](https://github.com/MakazhanAlpamys/Soup/security/advisories/new).
- If you cannot use GitHub, email the maintainer at **makazanalpamys@gmail.com**.
We aim to acknowledge reports within 5 business days and to ship a fix or
mitigation for confirmed, in-scope issues as promptly as is practical. When

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@ -10,7 +10,7 @@ readme = "README.md"
license = "Apache-2.0"
requires-python = ">=3.10"
authors = [
{ name = "Soup Team" },
{ name = "Soup Team", email = "makazanalpamys@gmail.com" },
]
keywords = ["llm", "fine-tuning", "lora", "qlora", "machine-learning"]
classifiers = [