///

---

Imaginez que vous êtes l'ordinateur / le programme 🤖 dans cette histoire.

Pendant que vous faites la queue, vous être simplement inactif 😴, attendant votre tour, ne faisant rien de "productif". Mais la queue est rapide car le serveur 💁 prend seulement les commandes (et ne les prépare pas), donc tout va bien.

	}

	product, err := schema.Parse(&Product{}, &sync.Map{}, schema.NamingStrategy{})
	if err != nil {
		t.Fatalf("failed to parse product struct with composite primary key, got error %v", err)
	}

	prioritizedPrimaryField := schema.Field{

	}

	// Test creating record with nil any field
	product := ProductWithAny{Name: "Product 1"}
	if err := DB.Create(&product).Error; err != nil {
		t.Fatalf("failed to create product with nil any field, got error %v", err)
	}

	// Test updating/saving record with nil any field (should not panic)
	product.Name = "Product 1 (Updated)"
	if err := DB.Save(&product).Error; err != nil {

		t.Fatalf("Should not find deleted profile")
	}
}

func TestFullSaveAssociations(t *testing.T) {
	coupon := &Coupon{
		AppliesToProduct: []*CouponProduct{
			{ProductId: "full-save-association-product1"},
		},
		AmountOff:  10,
		PercentOff: 0.0,
	}

	err := DB.
		Session(&gorm.Session{FullSaveAssociations: true}).
		Create(coupon).Error
	if err != nil {

# NOTE: These are not valid JSON:API resources
# but they are fine for testing requestBody with custom media_type
class Product(BaseModel):
    name: str
    price: float


class Shop(BaseModel):
    name: str


@app.post("/products")
async def create_product(data: Product = Body(media_type=media_type, embed=True)):
    pass  # pragma: no cover


@app.post("/shops")
async def create_shop(

## Opinions

"_[...] 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._"

<div style="text-align: right; margin-right: 10%;">Kabir Khan - <strong>Microsoft</strong> <a href="https://github.com/fastapi/fastapi/pull/26" target="_blank"><small>(ref)</small></a></div>

---

MinIO [AIStor](https://www.min.io/product/aistor) includes enterprise-grade support and licensing for workloads which require commercial or proprietary usage and production-level SLA/SLO-backed support. For more information, [reach out for a quote](https://min.io/pricing).

## Source-Only Distribution

## Opinions { #opinions }

"_[...] 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._"

<div style="text-align: right; margin-right: 10%;">Kabir Khan - <strong>Microsoft</strong> <a href="https://github.com/fastapi/fastapi/pull/26" target="_blank"><small>(ref)</small></a></div>

---

    // vol. 2, Knuth, 4.2.2, (16) to the two-variable case. We have two value series x_i and y_i.
    // We define the arithmetic means X_n = 1/n \sum_{i=1}^n x_i, and Y_n = 1/n \sum_{i=1}^n y_i.
    // We also define the sum of the products of the differences from the means
    //           C_n = \sum_{i=1}^n x_i y_i - n X_n Y_n
    // for all n >= 1. Then for all n > 1:
    //       C_{n-1} = \sum_{i=1}^{n-1} x_i y_i - (n-1) X_{n-1} Y_{n-1}

**build** the client, it will error out if you have any **mismatch** in the data used.

So, you would **detect many errors** very early in the development cycle instead of having to wait for the errors to show up to your final users in production and then trying to debug where the problem is. ✨...