### Create an `Enum` class { #create-an-enum-class }

Import `Enum` and create a sub-class that inherits from `str` and from `Enum`.

By inheriting from `str` the API docs will be able to know that the values must be of type `string` and will be able to render correctly.

Then create class attributes with fixed values, which will be the available valid values:

     * <p>
     * This method traverses the parent hierarchy and includes profiles defined in parent POMs.
     * The returned list contains profiles from the current project and all of its ancestors in
     * the project inheritance chain.
     *
     * @return a non-null, possibly empty list of all profiles from this project and its parents
     * @see Profile
     * @see #getDeclaredProfiles()
     */
    @Nonnull

/**
 * An {@link InputStream} that maintains a hash of the data read from it.
 *
 * @author Qian Huang
 * @since 16.0
 */
@Beta
public final class HashingInputStream extends FilterInputStream {
  private final Hasher hasher;

  /**
   * Creates an input stream that hashes using the given {@link HashFunction} and delegates all data
   * read from it to the underlying {@link InputStream}.
   *

@SuppressWarnings("checkstyle:UnusedLocalVariable")
class ProjectInheritanceTest extends AbstractProjectInheritanceTestCase {
    // ----------------------------------------------------------------------
    //
    // p1 inherits from p0
    // p0 inherits from super model
    //
    // or we can show it graphically as:
    //
    // p1 ---> p0 --> super model
    //
    // ----------------------------------------------------------------------

    /**

* **Editor support**.
* **Type checks**.

...and **FastAPI** uses the same declarations to:

* **Define requirements**: from request path parameters, query parameters, headers, bodies, dependencies, etc.
* **Convert data**: from the request to the required type.
* **Validate data**: coming from each request:
    * Generating **automatic errors** returned to the client when the data is invalid.
* **Document** the API using OpenAPI:

 * <li>{@link #indexFromQueryLog(QueryLog)} - Index from a single query log.
 * <li>{@link #indexFromQueryLog(QueryLog[])} - Index from multiple query logs.
 * <li>{@link #indexFromQueryLog(QueryLogReader, int, long)} - Index from query log reader with specified document per request and request interval.
 * <li>{@link #indexFromDocument(Map[])} - Index from an array of documents.

```

/// note | Technical Details

You could also use `from starlette.requests import Request` and `from starlette.responses import JSONResponse`.

**FastAPI** provides the same `starlette.responses` as `fastapi.responses` just as a convenience for you, the developer. But most of the available responses come directly from Starlette. The same with `Request`.

///

}

func buildServerCtxt(ctx *cli.Context, ctxt *serverCtxt) (err error) {
	// Get "json" flag from command line argument and
	ctxt.JSON = ctx.IsSet("json") || ctx.GlobalIsSet("json")
	// Get quiet flag from command line argument.
	ctxt.Quiet = ctx.IsSet("quiet") || ctx.GlobalIsSet("quiet")
	// Get anonymous flag from command line argument.
	ctxt.Anonymous = ctx.IsSet("anonymous") || ctx.GlobalIsSet("anonymous")

          } finally {
            holder = null;
          }
        }
        return false;
      }

      @Override
      Splitr createSplit(Spliterator<T> from, long i) {
        return new Splitr(from, i);
      }
    }
    return StreamSupport.stream(new Splitr(fromSpliterator, 0), isParallel).onClose(stream::close);
  }

  /**

/**
 * PdfExtractor extracts text content from PDF files using Apache PDFBox.
 * It supports password-protected PDFs and can extract embedded documents and annotations.
 *
 * <p>The extractor runs text extraction in a separate thread with a configurable timeout
 * to prevent hanging on problematic PDF files. It also extracts metadata from the PDF
 * document and includes it in the extraction result.
 *