#### Figure 2 - KMS key hierarchy

```

# (1)
FROM python:3.9 as requirements-stage

# (2)
WORKDIR /tmp

# (3)
RUN pip install poetry

# (4)
COPY ./pyproject.toml ./poetry.lock* /tmp/

# (5)
RUN poetry export -f requirements.txt --output requirements.txt --without-hashes

# (6)
FROM python:3.9

# (7)
WORKDIR /code

# (8)
COPY --from=requirements-stage /tmp/requirements.txt /code/requirements.txt

### Project file structure { #project-file-structure }

Let's say your project file structure looks like this:

```
.
├── app
│   ├── __init__.py
│   ├── main.py
```

Now create a directory to store those static files.

Your new file structure could look like this:

```
.
├── app
│   ├── __init__.py
│   ├── main.py
└── static/
```

### Download the files { #download-the-files }

testing/architecture-test/src/changes/accepted-changes/accepted-public-api-changes.json
testing/architecture-test/src/changes/archunit-store/internal-api-nullability.txt

# Core automation platform (core/configuration)
platforms/core-configuration/               @gradle/bt-cortex
testing/smoke-ide-test/                     @gradle/bt-cortex

n'est pas très facile d'utiliser une base de données NoSQL (comme Couchbase, MongoDB, Cassandra, etc.) comme principal moyen de
stockage.

    * **Vuetify** pour de magnifiques composants *material design*.
    * **TypeScript**.
    * Serveur Docker basé sur **Nginx** (configuré pour être facilement manipulé avec Vue-router).
    * Utilisation de *Docker multi-stage building*, pour ne pas avoir besoin de sauvegarder ou *commit* du code compilé.
    * Tests frontend exécutés à la compilation (pouvant être désactivés).

	TypeFifo    = '6' // FIFO node

	// Type '7' is reserved.
	TypeCont = '7'

	// Type 'x' is used by the PAX format to store key-value records that
	// are only relevant to the next file.
	// This package transparently handles these types.
	TypeXHeader = 'x'

	// Type 'g' is used by the PAX format to store key-value records that
	// are relevant to all subsequent files.
	// This package only supports parsing and composing such headers,

            throw new UncheckedIOException(e);
        }
    }

    /**
     * Returns {@code true} if passed in artifact is originating from local repository. In other words, we want
     * to process and store tracking information ONLY into local repository, not to any other place. This method
     * filters out currently built artifacts, as events are fired for them as well, but their resolved artifact

            }
            model.classes.each {
                generateDocForType(root.ownerDocument, model, linkRepository, it)
            }
        }

        linkRepository.store(linksFile.get().asFile)
    }

    @CompileStatic

### Typical Pull Request Workflow -

**1. New PR**

- As a contributor, you submit a New PR on GitHub.
- We inspect every incoming PR and add certain labels to the PR such as `size:`,
  `comp:` etc.  At this stage we check if the PR is valid and meets certain
  quality requirements. For example, we check if the CLA is signed, PR has
  sufficient description, if applicable unit tests are added, if it is a