// each of the pods of the current scale target(e.g. CPU or memory). The values will be
// averaged together before being compared to the target. Such metrics are built into
// Kubernetes, and have special scaling options on top of those available to
// normal per-pod metrics using the "pods" source. Only one "target" type
// should be set.
message ContainerResourceMetricSource {

  - Promotes the ServiceAccountTokenPodNodeInfo feature to GA, which adds the node name and uid as claims into service account tokens mounted into running pods, and embeds that information as `authentication.kubernetes.io/node-name` and `authentication.kubernetes.io/node-uid` user extra info when the token is used

```Python
user = db.query(User).first()
```

⤴️ 👥 🔜 📣 *➡ 🛠️ 🔢* & 🔗 🍵 `async def`, ⏮️ 😐 `def`,:

```Python hl_lines="2"
@app.get("/users/{user_id}", response_model=schemas.User)
def read_user(user_id: int, db: Session = Depends(get_db)):
    db_user = crud.get_user(db, user_id=user_id)
    ...
```

/// info

Outro grande recurso necessário nas APIs é validação de dados, certificando que os dados são válidos, dados certos parâmetros. Por exemplo, algum campo é `int`, e não alguma string aleatória. Isso é especialmente útil para dados que estão chegando.

Sem um sistema de validação de dados, você teria que realizar todas as verificações manualmente, no código.

				isFuncSym := strings.HasSuffix(test.input, "(SB)") &&
					// Ignore static symbols.
					!strings.Contains(test.input, "<>")

				wantName := ""
				if isFuncSym {
					// Strip $|* and (SB) and +Int.
					wantName = test.output[:len(test.output)-4]
					if strings.HasPrefix(wantName, "$") || strings.HasPrefix(wantName, "*") {
						wantName = wantName[1:]
					}
					if i := strings.Index(wantName, "+"); i >= 0 {

	VREV32	V5.B16, V5.B16                  // a508206e
	VREV64	V2.S2, V3.S2                    // 4308a00e
	VREV64	V2.S4, V3.S4                    // 4308a04e

// logical ops
//
// make sure constants get encoded into an instruction when it could
	AND	R1@>33, R2
	AND	$(1<<63), R1                        // AND	$-9223372036854775808, R1       // 21004192
	AND	$(1<<63-1), R1                      // AND	$9223372036854775807, R1        // 21f84092

- Watch will now support converting response objects into Table or PartialObjectMetadata forms. ([#71548](https://github.com/kubernetes/kubernetes/pull/71548), [@smarterclayton](https://github.com/smarterclayton))

- Reverted the previous fix for portforward cleanup because it introduced a kubelet regression which can lead into segmentation faults. ([#102587](https://github.com/kubernetes/kubernetes/pull/102587), [@saschagrunert](https://github.com/saschagrunert)) [SIG API Machinery and Node]

### Other (Cleanup or Flake)

	}
	if t.Failed() {
		return
	}

	// test simultaneous reads
	n := 0
	done := make(chan bool)
	for i := 0; i < 5; i++ {
		for j, ft := range zt.File {
			go func(j int, ft ZipTestFile) {
				readTestFile(t, zt, ft, z.File[j], raw)
				done <- true
			}(j, ft)
			n++
		}
	}
	for ; n > 0; n-- {
		<-done
	}
}

func equalTimeAndZone(t1, t2 time.Time) bool {

```python
from typing import Annotated, Literal

from fastapi import FastAPI, Query
from pydantic import BaseModel, Field

app = FastAPI()


class FilterParams(BaseModel):
    limit: int = Field(100, gt=0, le=100)
    offset: int = Field(0, ge=0)
    order_by: Literal["created_at", "updated_at"] = "created_at"
    tags: list[str] = []


@app.get("/items/")