* </tr>
 * <tr>
 * <td>{@link DateFormat#FULL} format without delimiters</td>
 * <td>{@literal yyyyMMdd}</td>
 * </tr>
 * <tr>
 * <td>Other</td>
 * <td>{@link java.sql.Date#valueOf(String) Jdbc escape syntax} format</td>
 * <td>{@literal yyyy-MM-dd}</td>
 * </tr>
 * </table>
 *
 * @author higa
 * @see TimeConversionUtil
 * @see TimestampConversionUtil
 */
public abstract class DateConversionUtil {

{* ../../docs_src/security/tutorial005_an_py310.py hl[106,108:116] *}

## Проверка `username` и формата данных { #verify-the-username-and-data-shape }

Мы проверяем, что получили `username`, и извлекаем scopes.

	metacacheBlockSize = 5000

	// metacacheSharePrefix controls whether prefixes on dirty paths are always shared.
	// This will make `test/a` and `test/b` share listings if they are concurrent.
	// Enabling this will make cache sharing more likely and cause less IO,
	// but may cause additional latency to some calls.
	metacacheSharePrefix = false
)

   * |      |
   * e ---- c ---- f
   * }
   */
  private static final SuccessorsFunction<Character> JAVADOC_GRAPH =
      createUndirectedGraph("ba", "ad", "be", "ac", "ec", "cf");

  /**
   * A diamond shaped directed graph (arrows going down):
   *
   * {@snippet :
   *   a
   *  / \
   * b   c
   *  \ /
   *   d
   * }
   */
  private static final SuccessorsFunction<Character> DIAMOND_GRAPH =

                    }
                    s[_i].decode(_src);
                }
            }
        }
    }

    /**
     * DFS storage information structure containing server and share details
     */
    public static class DfsStorageInfo extends NdrObject {

        /**
         * Default constructor for DfsStorageInfo
         */
        public DfsStorageInfo() {

 *
 * {@snippet :
 * public class MyServer implements Closeable {
 *   private static final FinalizableReferenceQueue frq = new FinalizableReferenceQueue();
 *   // You might also share this between several objects.
 *
 *   private static final Set<Reference<?>> references = Sets.newConcurrentHashSet();
 *   // This ensures that the FinalizablePhantomReference itself is not garbage-collected.
 *

                new PluginUpgradeInfo("org.codehaus.mojo", "flatten-maven-plugin", "1.2.7"));
        upgrades.put(
                DEFAULT_MAVEN_PLUGIN_GROUP_ID + ":maven-shade-plugin",
                new PluginUpgradeInfo(DEFAULT_MAVEN_PLUGIN_GROUP_ID, "maven-shade-plugin", "3.5.0"));
        upgrades.put(
                DEFAULT_MAVEN_PLUGIN_GROUP_ID + ":maven-remote-resources-plugin",

#   readarray ARGS < <( xargs -n1 <<<"$var" ) &&
#   set -- "${ARGS[@]}" "$@"
#
# but POSIX shell has neither arrays nor command substitution, so instead we
# post-process each arg (as a line of input to sed) to backslash-escape any
# character that might be a shell metacharacter, then use eval to reverse
# that process (while maintaining the separation between arguments), and wrap
# the whole thing up as a single "set" statement.
#

This schema definition includes your API paths, the possible parameters they take, etc.

#### Data "schema" { #data-schema }

The term "schema" might also refer to the shape of some data, like a JSON content.

In that case, it would mean the JSON attributes, and data types they have, etc.

#### OpenAPI and JSON Schema { #openapi-and-json-schema }

<img src="/img/python-types/image06.png">

## Pydantic 모델

<a href="https://docs.pydantic.dev/" class="external-link" target="_blank">Pydantic</a>은 데이터 검증(Validation)을 위한 파이썬 라이브러리입니다.

당신은 속성들을 포함한 클래스 형태로 "모양(shape)"을 선언할 수 있습니다.

그리고 각 속성은 타입을 가지고 있습니다.

이 클래스를 활용하여서 값을 가지고 있는 인스턴스를 만들게 되면, 필요한 경우에는 적당한 타입으로 변환까지 시키기도 하여 데이터가 포함된 객체를 반환합니다.

그리고 결과 객체에 대해서는 에디터의 도움을 받을 수 있게 됩니다.

Pydantic 공식 문서 예시: