return nil
			},
			OutCapacity: 1,
			InCapacity:  1,
		}))
	}
	register(local)
	register(remote)

	// local to remote
	testHandler := func(t *testing.T, handler HandlerID, sendReq bool) {
		remoteConn := local.Connection(remoteHost)
		const testPayload = "Hello Grid World!"

		ctx, cancel := context.WithCancel(t.Context())
		st, err := remoteConn.NewStream(ctx, handler, []byte(testPayload))

                            "name": "item_id",
                            "in": "path",
                        }
                    ],
                }
            },
            "/path/bool/{item_id}": {
                "get": {
                    "responses": {
                        "200": {
                            "description": "Successful Response",

        });
        return defaultQuery;
    }

    /**
     * Creates a default query builder based on the configured query type.
     * @return The default query builder (either dismax or bool query).
     */
    protected DefaultQueryBuilder createDefaultQueryBuilder() {
        final FessConfig fessConfig = ComponentUtil.getFessConfig();

        if ("dismax".equals(fessConfig.getQueryDefaultQueryType())) {

Die Funktionsparameter werden wie folgt erkannt:

* Wenn der Parameter auch im **Pfad** deklariert wurde, wird er als Pfad-Parameter verwendet.
* Wenn der Parameter ein **einfacher Typ** ist (wie `int`, `float`, `str`, `bool`, usw.), wird er als **Query**-Parameter interpretiert.
* Wenn der Parameter vom Typ eines **Pydantic-Modells** ist, wird er als Request**body** interpretiert.

/// note | Hinweis

**FastAPI** 支持同时声明**请求体**、**路径参数**和**查询参数**。

**FastAPI** 能够正确识别这三种参数，并从正确的位置获取数据。

{* ../../docs_src/body/tutorial004_py310.py hl[16] *}

函数参数按如下规则进行识别：

- **路径**中声明了相同参数的参数，是路径参数
- 类型是（`int`、`float`、`str`、`bool` 等）**单类型**的参数，是**查询**参数
- 类型是 **Pydantic 模型**的参数，是**请求体**

/// note | 笔记

因为默认值是 `None`， FastAPI 会把 `q` 当作可选参数。

FastAPI 不使用 `Optional[str]` 中的 `Optional`， 但 `Optional` 可以让编辑器提供更好的支持，并检测错误。

///

)

type aggVal struct {
	runningSum             *Value
	runningCount           int64
	runningMax, runningMin *Value

	// Stores if at least one record has been seen
	seen bool
}

func newAggVal(fn FuncName) *aggVal {
	switch fn {
	case aggFnAvg, aggFnSum:
		return &aggVal{runningSum: FromFloat(0)}
	case aggFnMin:
		return &aggVal{runningMin: FromInt(0)}
	case aggFnMax:

from typing import Union

from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    price: float
    is_offer: Union[bool, None] = None


@app.get("/")
def read_root():
    return {"Hello": "World"}


@app.get("/items/{item_id}")
def read_item(item_id: int, q: Union[str, None] = None):

    }

    public void bool(BoolCall<LabelTypeCQ> boolLambda) {
        bool(boolLambda, null);
    }

    public void bool(BoolCall<LabelTypeCQ> boolLambda, ConditionOptionCall<BoolQueryBuilder> opLambda) {
        LabelTypeCQ mustQuery = new LabelTypeCQ();
        LabelTypeCQ shouldQuery = new LabelTypeCQ();
        LabelTypeCQ mustNotQuery = new LabelTypeCQ();
        LabelTypeCQ filterQuery = new LabelTypeCQ();

```Python hl_lines="2  7 8 9 10  23 24 25"
from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    price: float
    is_offer: bool = None


@app.get("/")
def read_root():
    return {"Hello": "World"}


@app.get("/items/{item_id}")
def read_item(item_id: int, q: str = None):
    return {"item_id": item_id, "q": q}

func newTestReaderEOF(data []byte) io.Reader {
	return &testOneByteReadEOF{false, data}
}

// OneByteReadEOF - implements io.Reader which returns 1 byte along with io.EOF error.
type testOneByteReadEOF struct {
	eof  bool
	data []byte
}

func (r *testOneByteReadEOF) Read(p []byte) (n int, err error) {
	if r.eof {
		return 0, io.EOF
	}
	n = copy(p, r.data)
	r.eof = true
	return n, io.EOF
}