#### Usando `StreamingResponse` con objetos similares a archivos { #using-streamingresponse-with-file-like-objects }

Si tienes un <a href="https://docs.python.org/3/glossary.html#term-file-like-object" class="external-link" target="_blank">objeto similar a un archivo</a> (por ejemplo, el objeto devuelto por `open()`), puedes crear una función generadora para iterar sobre ese objeto similar a un archivo.

                    "type": "object",
                    "properties": {
                        "item": {"$ref": "#/components/schemas/Item"},
                        "item2": {"$ref": "#/components/schemas/Item"},
                    },
                },
                "HTTPValidationError": {
                    "title": "HTTPValidationError",
                    "type": "object",
                    "properties": {

struct TF_ShapeAndTypeList {
  int num_items;
  TF_ShapeAndType* items;
};
typedef struct TF_ShapeAndTypeList TF_ShapeAndTypeList;

// API for manipulating TF_ShapeAndTypeList objects.
//
TF_CAPI_EXPORT extern TF_ShapeAndTypeList* TF_NewShapeAndTypeList(
    int num_shapes);
TF_CAPI_EXPORT extern void TF_ShapeAndTypeListSetShape(
    TF_ShapeAndTypeList* shape_list, int index, const int64_t* dims,

        "components": {
            "schemas": {
                "ValidationError": {
                    "title": "ValidationError",
                    "required": ["loc", "msg", "type"],
                    "type": "object",
                    "properties": {
                        "loc": {
                            "title": "Location",
                            "type": "array",
                            "items": {

                "items": {"type": "string"},
                "title": "P",
                "type": "array",
            },
        },
        "required": ["p"],
        "title": body_model_name,
        "type": "object",
    }


@pytest.mark.parametrize("json", [None, {}])
@pytest.mark.parametrize(
    "path",
    ["/required-list-str", "/model-required-list-str"],
)

        "properties": {
            "p": {
                "anyOf": [{"type": "string"}, {"type": "null"}],
                "title": "P",
            },
        },
        "title": body_model_name,
        "type": "object",
    }


def test_optional_str_missing():
    client = TestClient(app)
    response = client.post("/optional-str")
    assert response.status_code == 200, response.text
    assert response.json() == {"p": None}

{* ../../docs_src/custom_response/tutorial007_py39.py hl[2,14] *}

#### Использование `StreamingResponse` с файлоподобными объектами { #using-streamingresponse-with-file-like-objects }

Если у вас есть <a href="https://docs.python.org/3/glossary.html#term-file-like-object" class="external-link" target="_blank">файлоподобный</a> объект (например, объект, возвращаемый `open()`), вы можете создать функцию-генератор для итерации по этому файлоподобному объекту.

// will return during reading. It returns -1 for unlimited
// data.
func (r *Reader) Size() int64 { return r.size }

// ActualSize returns the pre-modified size of the object.
// DecompressedSize - For compressed objects.
func (r *Reader) ActualSize() int64 { return r.actualSize }

// ETag returns the ETag computed by an underlying etag.Tagger.
// If the underlying io.Reader does not implement etag.Tagger

    public EnhancedComponentConfigurator() {
        converterLookup = new EnhancedConverterLookup();
    }

    @Override
    public void configureComponent(
            final Object component,
            final PlexusConfiguration configuration,
            final ExpressionEvaluator evaluator,
            final ClassRealm realm,
            final ConfigurationListener listener)

        "components": {
            "schemas": {
                "ValidationError": {
                    "title": "ValidationError",
                    "required": ["loc", "msg", "type"],
                    "type": "object",
                    "properties": {
                        "loc": {
                            "title": "Location",
                            "type": "array",
                            "items": {