# General - How To - Recipes

Here are several pointers to other places in the docs, for general or frequent questions.

## Filter Data - Security

To ensure that you don't return more data than you should, read the docs for [Tutorial - Response Model - Return Type](../tutorial/response-model.md){.internal-link target=_blank}.

## Documentation Tags - OpenAPI

                                            <c:forEach var="data" varStatus="s"
                                                       items="${elevateWordItems}">
                                                <tr
                                                        data-href="${contextPath}/admin/elevateword/details/4/${f:u(data.id)}">
                                                    <td>${f:h(data.suggestWord)}</td>

			cleanUpDeletedRelations := func(data reflect.Value) {
				if _, zero := rel.Field.ValueOf(association.DB.Statement.Context, data); !zero {
					fieldValue := reflect.Indirect(rel.Field.ReflectValueOf(association.DB.Statement.Context, data))
					primaryValues := make([]interface{}, len(rel.FieldSchema.PrimaryFields))

					switch fieldValue.Kind() {

app = FastAPI()


class FormData(BaseModel):
    username: str
    password: str
    model_config = {"extra": "forbid"}


@app.post("/login/")
async def login(data: FormData = Form()):

using tensorflow::NodeDef;

static void BoolDeallocator(void* data, size_t, void* arg) {
  delete[] static_cast<bool*>(data);
}

static void Int32Deallocator(void* data, size_t, void* arg) {
  delete[] static_cast<int32_t*>(data);
}

static void DoubleDeallocator(void* data, size_t, void* arg) {
  delete[] static_cast<double*>(data);
}

static void FloatDeallocator(void* data, size_t, void* arg) {
  delete[] static_cast<float*>(data);

Traditional retrieval of objects is always as whole entities, i.e GetObject for a 5 GiB object, will always return 5 GiB of data. S3 Select API allows us to retrieve a subset of data by using simple SQL expressions. By using Select API to retrieve only the data needed by the application, drastic performance improvements can be achieved.

You can use the Select API to query objects with following features:

	data, err := json.Marshal(item)
	if err != nil {
		return err
	}
	if GlobalKMS != nil {
		data, err = config.EncryptBytes(GlobalKMS, data, kms.Context{
			minioMetaBucket: path.Join(minioMetaBucket, objPath),
		})
		if err != nil {
			return err
		}
	}
	return saveConfig(ctx, iamOS.objAPI, objPath, data)
}

func decryptData(data []byte, objPath string) ([]byte, error) {

)

func AssertAssociationCount(t *testing.T, data interface{}, name string, result int64, reason string) {
	if count := DB.Model(data).Association(name).Count(); count != result {
		t.Fatalf("invalid %v count %v, expects: %v got %v", name, reason, result, count)
	}

	var newUser User
	if user, ok := data.(User); ok {
		DB.Find(&newUser, "id = ?", user.ID)
	} else if user, ok := data.(*User); ok {
		DB.Find(&newUser, "id = ?", user.ID)

      TF_CreateConfig(
          /*xla*/ false,
          /* gpu_memory_allow_growth */ true, /* num_cpu_devices */
          2),
      TF_DeleteBuffer);
  TFE_ContextOptionsSetConfig(opts.get(), config->data, config->length,
                              status.get());
  std::unique_ptr<TFE_Context, decltype(&TFE_DeleteContext)> context(
      TFE_NewContext(opts.get(), status.get()), TFE_DeleteContext);

from pydantic import BaseModel

app = FastAPI()


class FormData(BaseModel):
    username: str
    password: str


@app.post("/login/")
async def login(data: Annotated[FormData, Form()]):