matrices or batches of matrices (CPU only).
*   Added gradients for eigenvalues and eigenvectors computed using
    `self_adjoint_eig` or `self_adjoint_eigvals`.
*   Eliminated `batch_*` methods for most linear algebra and FFT ops and
    promoted the non-batch version of the ops to handle batches of matrices.

Dans ce cadre, j'ai dû étudier, tester et utiliser de nombreuses alternatives.

L'histoire de **FastAPI** est en grande partie l'histoire de ses prédécesseurs.

Comme dit dans la section [Alternatives](alternatives.md){.internal-link target=\_blank} :

<blockquote markdown="1">

```JSON
{
    "name": "Foo",
    "description": "An optional description",
    "price": 45.2,
    "tax": 3.5
}
```

...`description` et `tax` étant des attributs optionnels (avec `None` comme valeur par défaut), cet "objet" JSON serait aussi valide :

```JSON
{
    "name": "Foo",
    "price": 45.2
}
```

## Déclarez-le comme paramètre

* L'apprentissage automatique (ou **Machine Learning**) : cela nécessite de nombreuses multiplications de matrices et vecteurs. Imaginez une énorme feuille de calcul remplie de nombres que vous multiplierez entre eux tous au même moment.

from strawberry.asgi import GraphQL


@strawberry.type
class User:
    name: str
    age: int


@strawberry.type
class Query:
    @strawberry.field
    def user(self) -> User:
        return User(name="Patrick", age=100)


schema = strawberry.Schema(query=Query)


graphql_app = GraphQL(schema)

app = FastAPI()
app.add_route("/graphql", graphql_app)

[files]
extend-exclude = [
    ".git/",
    "docs/",
]
ignore-hidden = false

[default]
extend-ignore-re = [
    "Patrick Collison",
    "Copyright 2014 Unknwon",
    "[0-9A-Za-z/+=]{64}",
    "ZXJuZXQxDjAMBgNVBA-some-junk-Q4wDAYDVQQLEwVNaW5pbzEOMAwGA1UEAxMF",
    "eyJmb28iOiJiYXIifQ",
    'http\.Header\{"X-Amz-Server-Side-Encryptio":',
    'sessionToken',
]

[default.extend-words]
"encrypter" = "encrypter"

= vendor/github.com/pmezard/go-difflib licensed under: =

Copyright (c) 2013, Patrick Mezard
All rights reserved.

Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are
met:

    Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
    Redistributions in binary form must reproduce the above copyright

```Python
    return {"item_name": item.name, "item_id": item_id}
```

...da:

```Python
        ... "item_name": item.name ...
```

...a:

```Python
        ... "item_price": item.price ...
```

...e osserva come il tuo editor di testo autocompleterà gli attributi e sarà in grado di riconoscere i loro tipi:

![editor support](https://fastapi.tiangolo.com/img/vscode-completion.png)

	// will set all product's price to last product's price + 10
	for idx, value := range []int64{410, 410, 410} {
		if products[idx].Price != value {
			t.Errorf("invalid price for product #%v, expects: %v, got %v", idx, value, products[idx].Price)
		}
	}

	products2 := []Product3{
		{Name: "Product-1", Price: 100},
		{Name: "Product-2", Price: 200},
		{Name: "Product-3", Price: 300},
	}

	DB.Create(&products2)

    name: str
    date: datetime
    price: Optional[float] = None
    owner_ids: Optional[List[int]] = None


@app.get("/items/valid", response_model=Item)
def get_valid():
    return {"name": "valid", "date": datetime(2021, 7, 26), "price": 1.0}


@app.get("/items/object", response_model=Item)
def get_object():
    return Item(
        name="object", date=datetime(2021, 7, 26), price=1.0, owner_ids=[1, 2, 3]
    )