# Python Veri Tiplerine Giriş

Python isteğe bağlı olarak "tip belirteçlerini" destekler.

 **"Tip belirteçleri"** bir değişkenin <abbr title="örneğin: str, int, float, bool">tipinin</abbr> belirtilmesine olanak sağlayan özel bir sözdizimidir.

Değişkenlerin tiplerini belirterek editör ve araçlardan daha fazla destek alabilirsiniz.

            ) : {};

            isValid = qp.state === sentState;

            if ((
              oauth2.auth.schema.get("flow") === "accessCode" ||
              oauth2.auth.schema.get("flow") === "authorizationCode" ||
              oauth2.auth.schema.get("flow") === "authorization_code"
            ) && !oauth2.auth.code) {
                if (!isValid) {
                    oauth2.errCb({

    @Override
    protected String getQueryClassName() {
        return WildcardQuery.class.getSimpleName();
    }

    @Override
    public QueryBuilder execute(final QueryContext context, final Query query, final float boost) {
        if (query instanceof final WildcardQuery wildcardQuery) {
            if (logger.isDebugEnabled()) {
                logger.debug("WildcardQuery: query={}, boost={}", query, boost);
            }

app = FastAPI()


@app.get("/items/{item_id}")
async def read_items(
    *,
    item_id: Annotated[int, Path(title="The ID of the item to get", ge=0, le=1000)],
    q: str,
    size: Annotated[float, Query(gt=0, lt=10.5)],
):
    results = {"item_id": item_id}
    if q:
        results.update({"q": q})
    if size:
        results.update({"size": size})

from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    price: float


class ResponseMessage(BaseModel):
    message: str


class User(BaseModel):
    username: str
    email: str


@app.post("/items/", response_model=ResponseMessage, tags=["items"])
async def create_item(item: Item):
    return {"message": "Item received"}

from fastapi import FastAPI

app = FastAPI()


@app.post("/index-weights/")
async def create_index_weights(weights: dict[int, float]):

from typing import Union

from pydantic.v1 import BaseModel


class Item(BaseModel):
    name: str
    description: Union[str, None] = None

from fastapi import FastAPI

app = FastAPI()


@app.get("/keyword-weights/", response_model=dict[str, float])
async def read_keyword_weights():

		}
		t.Fatal("got nil root.")
	}

	// Test dirs
	want := []struct {
		path       string
		isNil      bool
		size, objs int
		oSizes     sizeHistogram
	}{
		{
			path:   "flat",
			size:   1322310 + expectSize,
			objs:   8 + expectSize,
			oSizes: sizeHistogram{0: 2 + expectSize, 1: 3, 2: 2, 4: 1},
		},
		{
			path:   "bucket/",
			size:   20000,
			objs:   2,

      "depth": {
        "type": "integer"
      },
      "parentUrl": {
        "type": "keyword"
      },
      "method": {
        "type": "keyword"
      },
      "weight": {
        "type": "float"
      },
      "createTime": {
        "type": "long"
      },
      "lastModified": {
        "type": "long"
      },
      "sessionId": {
        "type": "keyword"
      },
      "url": {