def test_openapi_schema():
    client = TestClient(app)
    response = client.get("/openapi.json")
    assert response.status_code == 200, response.text
    assert response.json() == {
        "openapi": "3.1.0",
        "info": {"title": "FastAPI", "version": "0.1.0"},
        "paths": {
            "/users/me": {
                "get": {
                    "responses": {
                        "200": {

    )


def test_openapi_schema(client: TestClient):
    response = client.get("/openapi.json")
    assert response.status_code == 200
    assert response.json() == {
        "openapi": "3.1.0",
        "info": {"title": "FastAPI", "version": "0.1.0"},
        "paths": {
            "/": {
                "get": {
                    "summary": "Root",
                    "operationId": "root__get",

pkg debug/pe, const IMAGE_COMDAT_SELECT_LARGEST = 6 #51868
pkg debug/pe, const IMAGE_COMDAT_SELECT_LARGEST ideal-int #51868
pkg debug/pe, const IMAGE_COMDAT_SELECT_NODUPLICATES = 1 #51868
pkg debug/pe, const IMAGE_COMDAT_SELECT_NODUPLICATES ideal-int #51868
pkg debug/pe, const IMAGE_COMDAT_SELECT_SAME_SIZE = 3 #51868
pkg debug/pe, const IMAGE_COMDAT_SELECT_SAME_SIZE ideal-int #51868

Sie könnten das beispielsweise verwenden, um Metadaten für eine Frontend-Benutzeroberfläche usw. hinzuzufügen.

///

/// info | Info

OpenAPI 3.1.0 (verwendet seit FastAPI 0.99.0) hat Unterstützung für `examples` hinzugefügt, was Teil des **JSON Schema** Standards ist.

def test_openapi_schema(client: TestClient):
    response = client.get("/openapi.json")
    assert response.status_code == 200, response.text
    assert response.json() == {
        "openapi": "3.1.0",
        "info": {"title": "FastAPI", "version": "0.1.0"},
        "paths": {
            "/items/": {
                "get": {
                    "summary": "Get Items",
                    "operationId": "get_items_items__get",

def test_openapi_schema(client: TestClient) -> None:
    response = client.get("/openapi.json")
    assert response.status_code == 200, response.text
    assert response.json() == {
        "openapi": "3.1.0",
        "info": {"title": "FastAPI", "version": "0.1.0"},
        "paths": {
            "/items/": {
                "get": {
                    "summary": "Read Items",
                    "operationId": "read_items_items__get",

}

// SMA struct for calculating simple moving average
type SMA struct {
	buf       []float64
	window    int     // len of buf
	idx       int     // current index in buf
	CAvg      float64 // cumulative average
	prevSMA   float64
	filledBuf bool
}

func newSMA(ln int) *SMA {
	if ln <= 0 {
		ln = defaultWindowSize
	}
	return &SMA{
		buf:    make([]float64, ln),
		window: ln,

Se você quiser receber atualizações parciais, é muito útil usar o parâmetro `exclude_unset` no método `.model_dump()` do modelo do Pydantic.

Como `item.model_dump(exclude_unset=True)`.

/// info | Informação

No Pydantic v1, o método que era chamado `.dict()` e foi descontinuado (mas ainda suportado) no Pydantic v2. Agora, deve-se usar o método `.model_dump()`.

    )


private
inline val Int.isStatic: Boolean
    get() = ACC_STATIC in this


private
inline val Int.isPublic: Boolean
    get() = ACC_PUBLIC in this


private
inline val Int.isAbstract: Boolean
    get() = ACC_ABSTRACT in this


private
inline val Int.isVarargs: Boolean
    get() = ACC_VARARGS in this


private

        }

        public int peekChar() {
            return idx < expression.length() ? expression.charAt(idx) : EOF;
        }

        public int skipChar() {
            return idx < expression.length() ? expression.charAt(idx++) : EOF;
        }

        public String nextToken(char delimiter) {
            int start = idx;