if (typeVariableMethod == null) {
        if (methodName.equals("getAnnotatedBounds")
            || methodName.equals("isAnnotationPresent")
            // Each of these prefixes is shared by a family of methods:
            || methodName.startsWith("getAnnotation")
            || methodName.startsWith("getDeclaredAnnotation")) {
          throw new UnsupportedOperationException(

 * <a href="https://en.wikipedia.org/wiki/ANSI_escape_code#CSI_sequences">ANSI escape sequences</a>.
 *
 * This class comes from Jansi and is provided for backward compatibility
 * with maven-shared-utils, while Maven has migrated to JLine (into which Jansi has been merged
 * since JLine 3.25.0).
 */
@Deprecated
@SuppressWarnings("unused")
public class Ansi implements Appendable {

 * object.
 *
 * <p><b>Comparison to {@code java.util.Optional} (JDK 8 and higher):</b> A new {@code Optional}
 * class was added for Java 8. The two classes are extremely similar, but incompatible (they cannot
 * share a common supertype). <i>All</i> known differences are listed either here or with the
 * relevant methods below.
 *
 * <ul>
 *   <li>This class is serializable; {@code java.util.Optional} is not.

/// check | 확인

특별한 클래스를 만들지 않아도 되며, 이러한 것 혹은 비슷한 종류를 **FastAPI**에 "등록"하기 위해 어떤 곳에 넘겨주지 않아도 됩니다.

단순히 `Depends`에 넘겨주기만 하면 되며, **FastAPI**는 나머지를 어찌할지 알고 있습니다.

///

## `Annotated`인 의존성 공유하기 { #share-annotated-dependencies }

위의 예제에서 몇몇 작은 **코드 중복**이 있다는 것을 보았을 겁니다.

`common_parameters()`의존을 사용해야 한다면, 타입 명시와 `Depends()`와 함께 전체 매개변수를 적어야 합니다:

```Python
commons: Annotated[dict, Depends(common_parameters)]

## Known Issues

code generated for gcc. The build process links this stub, along with
_cgo_export.c and *.cgo2.c, into a dynamic executable and then lets
cgo examine the executable. Cgo records the list of shared library
references and resolved names and writes them into a new file
_cgo_import.go, which looks like:

	//go:cgo_dynamic_linker "/lib64/ld-linux-x86-64.so.2"
	//go:cgo_import_dynamic puts puts#GLIBC_2.2.5 "libc.so.6"

    assertThat((long) arraysDim1 * arraysDim2).isNotEqualTo((long) (arraysDim1 * arraysDim2));

    char[][] arrays = new char[arraysDim1][];
    // it's shared to avoid using too much memory in tests
    char[] sharedArray = new char[arraysDim2];
    Arrays.fill(arrays, sharedArray);

    try {
      Chars.concat(arrays);
      fail();

cast:before{content:"\f2da"}.fa-sellsy:before{content:"\f213"}.fa-server:before{content:"\f233"}.fa-servicestack:before{content:"\f3ec"}.fa-shapes:before{content:"\f61f"}.fa-share:before{content:"\f064"}.fa-share-alt:before{content:"\f1e0"}.fa-share-alt-square:before{content:"\f1e1"}.fa-share-square:before{content:"\f14d"}.fa-shekel-sign:before{content:"\f20b"}.fa-shield-alt:before{content:"\f3ed"}.fa-ship:before{content:"\f21a"}.fa-shipping-fast:before{content:"\f48b"}.fa-shirtsinbulk:before{co...

    TF_ShapeAndTypeList** shape_list_array, int num_items);

// Infer shapes for the given `op`. The arguments mimic the arguments of the
// `shape_inference::InferenceContext` constructor. Note the following:
//   - The inputs of the `op` are not used for shape inference. So, it is
//     OK to not have the inputs properly set in `op`. See `input_tensors`
//     if you want shape inference to consider the input tensors of the
//     op for shape inference.

#### `HeroBase` - the base class { #herobase-the-base-class }

Let's start with a `HeroBase` model that has all the **fields that are shared** by all the models:

* `name`
* `age`

{* ../../docs_src/sql_databases/tutorial002_an_py310.py ln[7:9] hl[7:9] *}

#### `Hero` - the *table model* { #hero-the-table-model }