```JSON
{
    "detail": [
        {
            "loc": [
                "path",
                "item_id"
            ],
            "msg": "value is not a valid integer",
            "type": "type_error.integer"
        }
    ]
}
```

将得到如下文本内容：

```
Validation errors:
Field: ('path', 'item_id'), Error: Input should be a valid integer, unable to parse string as an integer
```

		return s
	}
	b := make([]byte, 0, len(s))
	for _, c := range s {
		if c < 0x80 && c != 0x00 {
			b = append(b, byte(c))
		}
	}
	return string(b)
}

type parser struct {
	err error // Last error seen
}

type formatter struct {
	err error // Last error seen
}

// parseString parses bytes as a NUL-terminated C-style string.
// If a NUL byte is not found then the whole slice is returned as a string.

	"github.com/minio/minio/internal/logger"
	"github.com/minio/mux"
	xnet "github.com/minio/pkg/v3/net"
)

var errDiskStale = errors.New("drive stale")

// To abstract a disk over network.
type storageRESTServer struct {
	endpoint Endpoint
}

var (

The filter is a dropdown box that appears when you click the `Severity ⬇️ ` label in the black header bar to the immediate right of the Gradle version.

If you have a large number of messages of different types, filtering by severity to see only `Error`s can be helpful when processing the report.

    /** The ID. */
    public String id;

    /** The regex pattern. */
    public String regex;

    /** The replacement string. */
    public String replacement;

    /** The process type. */
    public String processType;

    /** The sort order. */
    public String sortOrder;

    /** The creator. */
    public String createdBy;

    /** The creation time. */

                                    <div class="form-inline col-sm-9">
                                        <la:errors property="sortOrder"/>
                                        <input type="number" name="sortOrder" id="sortOrder"
                                               value="${f:h(sortOrder)}" class="form-control"
                                               min="0" max="100000">

   *
   * - https://github.com/jspecify/jdk/commit/71d826792b8c7ef95d492c50a274deab938f2552
   */
  /*
   * TODO(cpovirk): Is the unchecked cast avoidable? Would System.arraycopy be similarly fast (if
   * likewise not type-checked)? Could our single caller do something different?
   */
  @SuppressWarnings({"nullness", "unchecked"})
  static <T extends @Nullable Object> T[] copy(Object[] source, int from, int to, T[] arrayOfType) {

   *
   * - https://github.com/jspecify/jdk/commit/71d826792b8c7ef95d492c50a274deab938f2552
   */
  /*
   * TODO(cpovirk): Is the unchecked cast avoidable? Would System.arraycopy be similarly fast (if
   * likewise not type-checked)? Could our single caller do something different?
   */
  @SuppressWarnings({"nullness", "unchecked"})
  static <T extends @Nullable Object> T[] copy(Object[] source, int from, int to, T[] arrayOfType) {

     */
    SmbResource get(String url) throws CIFSException;

    /**
     * Get a pipe resource
     *
     * @param url the URL of the SMB pipe resource
     * @param pipeType
     *            the type of the pipe
     * @return the SMB pipe resource at the specified location
     * @throws CIFSException if the pipe resource cannot be accessed
     */
    SmbPipeResource getPipe(String url, int pipeType) throws CIFSException;

## 데이터 필터링 - 보안 { #filter-data-security }

반환하면 안 되는 데이터를 과도하게 반환하지 않도록 하려면, [튜토리얼 - 응답 모델 - 반환 타입](../tutorial/response-model.md) 문서를 읽어보세요.

## 응답 성능 최적화 - 응답 모델 - 반환 타입 { #optimize-response-performance-response-model-return-type }

JSON 데이터를 반환할 때 성능을 최적화하려면 반환 타입 또는 응답 모델을 사용하세요. 그러면 Pydantic이 Python을 거치지 않고 Rust 측에서 JSON 직렬화를 처리합니다. 자세한 내용은 [튜토리얼 - 응답 모델 - 반환 타입](../tutorial/response-model.md) 문서를 참고하세요.