sudo cryptsetup luksFormat -q --key-file key.secret "$LOOP"
          sudo cryptsetup open --key-file key.secret "$LOOP" secret --verbose
          sudo mkfs.ext2 /dev/mapper/secret
          sudo mkdir /mnt/secret
          sudo mount /dev/mapper/secret /mnt/secret
          sudo chown -R jenkins /mnt/secret
          cp -r "$WORKSPACE" /mnt/secret
          cd /mnt/secret/$(basename "$WORKSPACE")
          touch .output.log

        }
        return clazz.cast(o);
    }

    public static <U, V> List<V> map(Collection<U> list, Function<U, V> mapper) {
        return list.stream().map(mapper).filter(Objects::nonNull).collect(Collectors.toList());
    }

			<param name="module.zip.version" value="${opensearch.version}" />
		</antcall>
		<!-- mapper-extras -->
		<antcall target="install.module">
			<param name="repo.url" value="${maven.release.repo.url}" />
			<param name="module.groupId" value="org/codelibs/opensearch/module" />
			<param name="module.name.prefix" value="" />
			<param name="module.name" value="mapper-extras" />
			<param name="module.version" value="${opensearch.version}" />

        final File jsonSchemaOnDisk = getJsonSchema();
        final JsonSchema jsonSchema = buildSchemaObject(jsonSchemaOnDisk);

        final Map<File, Set<String>> errors = new LinkedHashMap<>();
        final ObjectMapper mapper = this.getMapper();

        // incrementally evaluate input files
        // validate all files and hold on to errors for a complete report if there are failures

 * TypeScript because it's OK to use `delete` as a method name.
 */
public class ValidateJsonNoKeywordsTask extends DefaultTask {

    private final ObjectMapper mapper = new ObjectMapper().configure(JsonParser.Feature.ALLOW_COMMENTS, true);
    private File jsonKeywords;
    private File report;
    private FileCollection inputFiles;

    @Incremental
    @InputFiles

  - Settings, set `Valid Redirect URIs` to `*`, expand `Advanced Settings` and set `Access Token Lifespan` to `1 Hours`
  - Save

- Go to Clients
  - Click on `account`
  - Mappers
  - Create
    - `Name` with any text
    - `Mapper Type` is `User Attribute`
    - `User Attribute` is `policy`
    - `Token Claim Name` is `policy`
    - `Claim JSON Type` is `string`
  - Save

## Pydantic 特性 { #pydantic-features }

**FastAPI** 和 [**Pydantic**](https://docs.pydantic.dev/) 完全兼容（并基于）。所以，你有的其他的 Pydantic 代码也能正常工作。

兼容包括基于 Pydantic 的外部库，例如用于数据库的 <abbr title="Object-Relational Mapper - 对象关系映射">ORM</abbr>s、<abbr title="Object-Document Mapper - 对象文档映射">ODM</abbr>s。

这也意味着在很多情况下，你可以将从请求中获得的相同对象**直接传到数据库**，因为所有的验证都是自动的。

反之亦然，在很多情况下，你也可以将从数据库中获取的对象**直接传到客户端**。

通过 **FastAPI** 你可以获得所有 **Pydantic**（FastAPI 基于 Pydantic 做了所有的数据处理）：

## Pydantic 特性 { #pydantic-features }

**FastAPI** 完全相容且基於 [**Pydantic**](https://docs.pydantic.dev/)。所以，你有其他 Pydantic 程式碼也能正常工作。

相容包括基於 Pydantic 的外部函式庫，例如用於資料庫的 <abbr title="Object-Relational Mapper - 物件關聯對映器">ORM</abbr>s、<abbr title="Object-Document Mapper - 物件文件對映器">ODM</abbr>s。

這也意味著在很多情況下，你可以把從請求中獲得的物件**直接傳到資料庫**，因為所有資料都會自動進行驗證。

反之亦然，在很多情況下，你也可以把從資料庫中獲取的物件**直接傳給客戶端**。

Including external libraries also based on Pydantic, as <abbr title="Object-Relational Mapper">ORM</abbr>s, <abbr title="Object-Document Mapper">ODM</abbr>s for databases.

This also means that in many cases you can pass the same object you get from a request **directly to the database**, as everything is validated automatically.

import org.elasticsearch.index.fielddata.IndexFieldDataCache;
import org.elasticsearch.index.fielddata.IndexNumericFieldData;
import org.elasticsearch.index.mapper.MappedFieldType;
import org.elasticsearch.index.mapper.NumberFieldMapper.NumberFieldType;
import org.elasticsearch.index.mapper.NumberFieldMapper.NumberType;
import org.elasticsearch.indices.breaker.CircuitBreakerService;
import org.elasticsearch.indices.breaker.NoneCircuitBreakerService;