}

    private void validateParameters() {
        if (min < 0) {
            throw new IllegalArgumentException("The min parameter cannot be negative.");
        }
        if (max < 0) {
            throw new IllegalArgumentException("The max parameter cannot be negative.");
        }
        if (max < min) {
            throw new IllegalArgumentException("The length cannot be negative.");
        }
    }

        // Verify the class is generic
        final java.lang.reflect.TypeVariable<?>[] typeParameters = FessActionValidator.class.getTypeParameters();
        assertEquals("Should have one type parameter", 1, typeParameters.length);
        assertEquals("Type parameter should be MESSAGES", "MESSAGES", typeParameters[0].getName());
    }

    @Test
    public void test_packageStructure() {
        final Package pkg = FessActionValidator.class.getPackage();

Im obigen Beispiel ist das Eingabemodell ein Pydantic‑v1‑Modell, und das Ausgabemodell (definiert in `response_model=ItemV2`) ist ein Pydantic‑v2‑Modell.

### Pydantic v1 Parameter { #pydantic-v1-parameters }

여러분은 원하는 방식으로 **자유롭게** 사용할 수 있으며, **FastAPI**는 어떤 제한도 강제하지 않습니다.

다만 이 가이드는 의도된 사용 방식이 대략 어떻게 되는지를 보여줍니다.

///

### Pydantic의 `exclude_unset` 파라미터 사용하기 { #using-pydantics-exclude-unset-parameter }

부분 업데이트를 받으려면 Pydantic 모델의 `.model_dump()`에서 `exclude_unset` 파라미터를 사용하는 것이 매우 유용합니다.

예: `item.model_dump(exclude_unset=True)`.

이는 `item` 모델을 만들 때 실제로 설정된 데이터만 포함하는 `dict`를 생성하고, 기본값은 제외합니다.

        assertFalse(mp.isRequired(), "Expected " + mp + ".isRequired() to return false");
        assertEquals("parameter-description", mp.getDescription());
        assertEquals("deprecated-parameter", mp.getDeprecated());
        assertEquals("${jar.finalName}", mp.getExpression());
        assertEquals("${project.build.finalName}", mp.getDefaultValue());

* `@app.get()`
* `@app.post()`
* `@app.put()`
* `@app.delete()`
* etc.

{* ../../docs_src/response_status_code/tutorial001_py310.py hl[6] *}

/// note | Nota

- At the popup window, click `Import Settings from VCS`. Wait a few seconds. 
  - If the error says "Context Parameter 'Branch' missing", it's ok. Click into the error and add a context parameter `Branch` with value `myTestBranch`. Go back and it automatically reloads.
  - If there are any errors, read the error and fix your code.

        if is_path_param:
            # We might check here that `default_value is RequiredParam`, but the fact is that the same
            # parameter might sometimes be a path parameter and sometimes not. See
            # `tests/test_infer_param_optionality.py` for an example.
            field_info = params.Path(annotation=use_annotation)

import org.jspecify.annotations.Nullable;

/**
 * An implementation of {@link GraphConnections} for directed graphs.
 *
 * @author James Sexton
 * @author Jens Nyman
 * @param <N> Node parameter type
 * @param <V> Value parameter type
 */
final class DirectedGraphConnections<N, V> implements GraphConnections<N, V> {
  /**
   * A wrapper class to indicate a node is both a predecessor and successor while still providing

            "A device attached to the system is not functioning.", "Incorrect function.", "The parameter is incorrect.",
            "Invalid access to memory location.", "The handle is invalid.", "The parameter is incorrect.",
            "The system cannot find the file specified.", "The system cannot find the file specified.", "End of file",