<scm>
        <connection>scm:git:git://github.com/junit-team/junit4.git</connection>
        <developerConnection>scm:git:******@****.***:junit-team/junit4.git</developerConnection>
        <url>https://github.com/junit-team/junit4</url>
      <tag>r4.13.1</tag>
  </scm>
    <issueManagement>
        <system>github</system>
        <url>https://github.com/junit-team/junit4/issues</url>
    </issueManagement>
    <ciManagement>

## GitHub docs: https://docs.github.com/en/repositories/managing-your-repositorys-settings-and-features/customizing-your-repository/about-code-owners
##
## CODEOWNERS style rules:
## 1. Prefer team ownership over individual user ownership.
## 2. GBT-related team should be listed first.
## 3. Try to keep paths alphabetically sorted within visual groups.
## 4. List individual owners last.
##

# bt-unassigned-maintainers must be the first owner

Use [CertificatePinner](https://square.github.io/okhttp/4.x/okhttp/okhttp3/-certificate-pinner/) to restrict which certificates and certificate authorities are trusted. Certificate pinning increases security, but limits your server team’s abilities to update their TLS certificates. **Do not use certificate pinning without the blessing of your server’s TLS administrator!**

=== ":material-language-kotlin: Kotlin"
    ```kotlin

<small>* Stima basata sull'esito di test eseguiti su codice sorgente di applicazioni rilasciate in produzione da un team interno di sviluppatori.</small>

## Sponsor

<!-- sponsors -->

{% if sponsors %}
{% for sponsor in sponsors.gold -%}

researchers push the state-of-the-art in ML and developers easily build and
deploy ML-powered applications.

TensorFlow was originally developed by researchers and engineers working within
the Machine Intelligence team at Google Brain to conduct research in machine
learning and neural networks. However, the framework is versatile enough to be
used in other areas as well.

just getting started, GitHub has a
[how-to](https://help.github.com/articles/using-pull-requests/).

TensorFlow team members will be assigned to review your pull requests. Once the
pull requests are approved and pass continuous integration checks, a TensorFlow
team member will apply `ready to pull` label to your change. This means we are
working on getting your pull request submitted to our internal repository. After

Dies ist natürlich nicht das Frontend für die Endbenutzer, aber es ist ein großartiges automatisches Tool, um Ihre gesamte API interaktiv zu dokumentieren.

Es kann vom Frontend-Team verwendet werden (das auch Sie selbst sein können).

Es kann von Anwendungen und Systemen Dritter verwendet werden.

Und es kann auch von Ihnen selbst verwendet werden, um dieselbe Anwendung zu debuggen, zu prüfen und zu testen.

<small>* estimation based on tests on an internal development team, building production applications.</small>

## Sponsors

<!-- sponsors -->

{% if sponsors %}
{% for sponsor in sponsors.gold -%}

!!! note "Technical Details"
    ASGI is a new "standard" being developed by Django core team members. It is still not a "Python standard" (a PEP), although they are in the process of doing that.

<a href="https://fastapi.tiangolo.com/fastapi-people/#sponsors" class="external-link" target="_blank">Inni sponsorzy</a>

## Opinie

"_[...] I'm using **FastAPI** a ton these days. [...] I'm actually planning to use it for all of my team's **ML services at Microsoft**. Some of them are getting integrated into the core **Windows** product and some **Office** products._"