name: Mint Tests

on:
  pull_request:
    branches:
      - master

# This ensures that previous jobs for the PR are canceled when the PR is
# updated.
concurrency:
  group: ${{ github.workflow }}-${{ github.head_ref }}
  cancel-in-progress: true

permissions:
  contents: read

jobs:
  mint-test:
    runs-on: mint
    timeout-minutes: 120
    steps:

export JOB_NAME="$4"
export MINT_MODE="full"

docker system prune -f || true
docker volume prune -f || true
docker volume rm $(docker volume ls -f dangling=true) || true

## change working directory
cd .github/workflows/mint

docker-compose -f minio-${MODE}.yaml up -d
sleep 1m

docker system prune -f || true
docker volume prune -f || true
docker volume rm $(docker volume ls -q -f dangling=true) || true

\u0935\u0930\u094d\u0938\u093e\u0902\u0928\u0940",e+" \u0935\u0930\u094d\u0938\u093e\u0902"]};return s?n[t][0]:n[t][1]}function cn(e,a,t,s){var n={s:["thoddea sekondamni","thodde sekond"],ss:[e+" sekondamni",e+" sekond"],m:["eka mintan","ek minut"],mm:[e+" mintamni",e+" mintam"],h:["eka voran","ek vor"],hh:[e+" voramni",e+" voram"],d:["eka disan","ek dis"],dd:[e+" disamni",e+" dis"],M:["eka mhoinean","ek mhoino"],MM:[e+" mhoineamni",e+" mhoine"],y:["eka vorsan","ek voros"],yy:[e+" vorsamni",e+" vorsam"]};return...

Wà á rí àwọn àkọsílẹ̀ aládàáṣiṣẹ́ mìíràn (tí a pese nipasẹ <a href="https://github.com/Rebilly/ReDoc" class="external-link" target="_blank">ReDoc</a>):

![ReDoc](https://fastapi.tiangolo.com/img/index/index-02-redoc-simple.png)

## Àpẹẹrẹ ìgbésókè mìíràn

Ní báyìí ṣe àtúnṣe fáìlì `main.py` láti gba kókó èsì láti inú ìbéèrè `PUT`.

## External Contributions

External contributions are very welcome and appreciated, including answering questions, submitting PRs, etc. 🙇‍♂️

Para isso, você pode utilizar o `WSGIMiddleware` para encapsular a sua aplicação WSGI, como por exemplo Flask, Django, etc.

## Usando o `WSGIMiddleware`

Você precisa importar o `WSGIMiddleware`.

Em seguinda, encapsular a aplicação WSGI (e.g. Flask) com o middleware.

E então **"montar"** em um caminho de rota.

```Python hl_lines="2-3  23"

* **Egyszerű**: Egyszerű tanulásra és használatra tervezve. Kevesebb dokumentáció olvasással töltött idő.
* **Rövid**: Kód duplikáció minimalizálása. Több funkció minden paraméter deklarálásával. Kevesebb hiba.
* **Robosztus**: Production ready kód. Automatikus interaktív dokumentáció val.

- Better security: separate Istio components reside in different namespaces, allowing different teams or
roles to manage different parts of Istio. For example, a security team would maintain the
root CA and policy, a telemetry team may only have access to Prometheus,
and a different team may maintain the control plane components (which are highly security sensitive).

The install is organized in 'environments' - each environment consists of a set of components

  "$python" -c 'import sys; import tensorflow as tf; sys.exit(0 if "keras" in tf.keras.__name__ else 1)'
fi
# Import tf nightly wheel built with numpy2 from PyPI in numpy1 env for testing.
# This aims to maintain TF compatibility with NumPy 1.x until 2025 b/361369076.
if [[ "$TFCI_WHL_NUMPY_VERSION" == 1 ]]; then
  # Uninstall tf nightly wheel built with numpy1.
  "$python" -m pip uninstall -y tf_nightly_numpy1

* To fix an existing issue/bug.
    * Make sure to add tests.
* To add a new feature.
    * Make sure to add tests.
    * Make sure to add documentation if it's relevant.

## Help Maintain FastAPI

Help me maintain **FastAPI**! 🤓

There's a lot of work to do, and for most of it, **YOU** can do it.

The main tasks that you can do right now are: