/compiler/testData/mockJDK9/ "Kotlin Build Infrastructure"
/compiler/testData/mockJDKModified/ "Kotlin Build Infrastructure"
/compiler/testData/moduleProtoBuf/ "Kotlin JVM"
/compiler/testData/modules.xml/ "Kotlin Compiler Core"
/compiler/testData/multiModule/ "Kotlin Compiler Core"
# UNKNOWN: /compiler/testData/multiplatform/
/compiler/testData/parseCodeFragment/ "Kotlin Compiler Core"

🎏 📁 📊 ⏮️ 🏤:

```
.
├── app                  # "app" is a Python package
│   ├── __init__.py      # this file makes "app" a "Python package"
│   ├── main.py          # "main" module, e.g. import app.main
│   ├── dependencies.py  # "dependencies" module, e.g. import app.dependencies
│   └── routers          # "routers" is a "Python subpackage"
│   │   ├── __init__.py  # makes "routers" a "Python subpackage"

cc_library(
    name = "dlpack",
    srcs = ["dlpack.cc"],
    hdrs = ["dlpack.h"],
    copts = tf_copts() + [
        "-fexceptions",
        "-fno-strict-aliasing",
    ],
    features = ["-use_header_modules"],
    visibility = ["//tensorflow:__subpackages__"],
    deps = [
        ":c_api",
        ":c_api_experimental",
        ":tfe_tensorhandle_internal",
        "//tensorflow/c:tf_status_helper",

    ├── database.py
    ├── main.py
    ├── models.py
    └── schemas.py
```

The file `__init__.py` is just an empty file, but it tells Python that `sql_app` with all its modules (Python files) is a package.

Now let's see what each file/module does.

## Install `SQLAlchemy`

First you need to install `SQLAlchemy`:

<div class="termy">

```console
$ pip install sqlalchemy

---> 100%
```

    * les types Python (`str`, `int`, `float`, `bool`, `list`, etc).
    * les objets `datetime`.
    * les objets `UUID`.
    * les modèles de base de données.
    * ... et beaucoup plus.
* La documentation API interactive automatique, avec 2 interfaces utilisateur au choix :
    * Swagger UI.
    * ReDoc.

---

    ```bash
    bazel run //tensorflow/tools/docs:tf_doctest
    ```

    or

    ```bash
    bazel run //tensorflow/tools/docs:tf_doctest -- --module=ops.array_ops
    ```

    The `--module` is relative to `tensorflow.python`.

#### Debug builds

When [building Tensorflow](https://www.tensorflow.org/install/source), passing

        return findControlFlowGraph(anchor, firStatements)
            ?: errorWithAttachment("Cannot find a control flow graph for element") {
                withKtModuleEntry("module", analysisSession.useSiteModule)
                withPsiEntry("anchor", anchor)
                withFirEntry("firAnchor", firStatements.last())
            }
    }

    ├── __init__.py
    ├── crud.py
    ├── database.py
    ├── main.py
    └── schemas.py
```

This is almost the same structure as we had for the SQLAlchemy tutorial.

Now let's see what each file/module does.

## Create the Peewee parts

Let's refer to the file `sql_app/database.py`.

### The standard Peewee code

Let's first check all the normal Peewee code, create a Peewee database:

## JWT-Token verarbeiten

Importieren Sie die installierten Module.

Erstellen Sie einen zufälligen geheimen Schlüssel, der zum Signieren der JWT-Tokens verwendet wird.

Um einen sicheren zufälligen geheimen Schlüssel zu generieren, verwenden Sie den folgenden Befehl:

* Documentation automatique des modèles de données avec <a href="http://json-schema.org/" class="external-link" target="_blank"><strong>JSON Schema</strong></a> (comme OpenAPI est aussi basée sur JSON Schema).