from pydantic import BaseModel, Field
from typing_extensions import Literal

app = FastAPI()


class FilterParams(BaseModel):
    model_config = {"extra": "forbid"}

    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/")
async def read_items(filter_query: FilterParams = Query()):

maximum concurrent requests allowed before we start slowing things down can be configured with `mc admin config set alias/ heal max_io=30` . By default the wait delay is `250ms` beyond 100 concurrent operations. This means the healer will sleep *250 milliseconds* at max for each heal operation if there are more than *100* concurrent client requests.

In most setups this is sufficient to heal the content after drive replacements. Setting `max_sleep` to a *lower* value and setting `max_io` to...

          "uid": "grafana"
        },
        "enable": true,
        "hide": true,
        "iconColor": "rgba(0, 211, 255, 1)",
        "name": "Annotations & Alerts",
        "target": {
          "limit": 100,
          "matchAny": false,
          "tags": [],
          "type": "dashboard"
        },
        "type": "dashboard"
      }
    ]
  },
  "__inputs": [
    {
      "name": "DS_PROMETHEUS",

		}
	}()
	store, err := setUpQueueStore(queueDir, 100)
	if err != nil {
		t.Fatal("Failed to create a queue store ", err)
	}
	// Put 100 items.
	for i := 0; i < 100; i++ {
		if _, err := store.Put(testItem); err != nil {
			t.Fatal("Failed to put to queue store ", err)
		}
	}
	// Count the items.
	keys := store.List()
	if len(keys) != 100 {
		t.Fatalf("List() Expected: 100, got %d", len(keys))
	}
}

## Über Pydantic

Pydantic integriert die Tests für **FastAPI** in seine eigenen Tests, sodass neue Versionen von Pydantic (über `1.0.0`) immer mit FastAPI kompatibel sind.

Sie können Pydantic an jede für Sie geeignete Version über `1.0.0` und unter `2.0.0` anpinnen.

Zum Beispiel:
```txt
pydantic>=1.2.0,<2.0.0

### Проверен

* 100% <abbr title="Количество автоматически проверямого кода">покрытие тестами</abbr>.
* 100% <abbr title="Аннотации типов Python, благодаря которым ваш редактор и другие инструменты могут обеспечить вам лучшую поддержку">аннотирование типов</abbr> в кодовой базе.

	b.SetParallelism(4)
	b.RunParallel(func(pb *testing.PB) {
		c := make(chan bool)
		var data [4 << 10]uint64
		for i := 0; pb.Next(); i++ {
			if i%4 == 0 {
				m.Lock(id, source)
				acc0 -= 100
				acc1 += 100
				m.Unlock(context.Background())
			} else {
				for i := 0; i < len(data); i += 4 {
					data[i]++
				}
				// Elaborate way to say runtime.Gosched

            final StringBuilder buf = new StringBuilder(100);
            return ".*" + appendFileterPath(buf, escape(v)) + ".*";
        }
        if (s.startsWith(REGEXP_IGNORE_CASE)) {
            final String v = s.substring(REGEXP_IGNORE_CASE.length());
            final StringBuilder buf = new StringBuilder(100);
            buf.append("(?i)");
            return appendFileterPath(buf, unescape(v));

on 16 drive MinIO deployment. If you use eight data and eight parity drives, the file space usage will be approximately twice, i.e. 100 MiB
file will take 200 MiB space. But, if you use ten data and six parity drives, same 100 MiB file takes around 160 MiB. If you use 14 data and
two parity drives, 100 MiB file takes only approximately 114 MiB.

		},
		ExpectedVars: []interface{}{100},
		Result:       "SUM(`id`) = ?",
	}, {
		Expressions: []clause.Expression{
			clause.Gte{Column: clause.Expr{SQL: "SUM(?)", Vars: []interface{}{clause.Column{Table: "users", Name: "id"}}}, Value: 100},
		},
		ExpectedVars: []interface{}{100},
		Result:       "SUM(`users`.`id`) >= ?",
	}}