encodingInputs[i] = new byte[n];
      rng.nextBytes(encodingInputs[i]);
      decodingInputs[i] = encoding.encoding.encode(encodingInputs[i]);
    }
  }

  @Benchmark
  public int encode(int reps) {
    int tmp = 0;
    for (int i = 0; i < reps; i++) {
      tmp += System.identityHashCode(encoding.encoding.encode(encodingInputs[i & INPUTS_MASK]));
    }
    return tmp;
  }

  @Benchmark
  public int decode(int reps) {

## Daten in etwas JSON-kompatibles konvertieren { #convert-any-data-to-json-compatible }

Um Daten in etwas JSON-kompatibles zu konvertieren, lesen Sie die Dokumentation unter [Tutorial – JSON-kompatibler Encoder](../tutorial/encoder.md){.internal-link target=_blank}.

## OpenAPI-Metadaten – Dokumentation { #openapi-metadata-docs }

from datetime import datetime

from fastapi import FastAPI
from fastapi.encoders import jsonable_encoder
from pydantic import BaseModel

fake_db = {}


class Item(BaseModel):
    title: str
    timestamp: datetime
    description: str | None = None


app = FastAPI()


@app.put("/items/{id}")
def update_item(id: str, item: Item):
    json_compatible_item_data = jsonable_encoder(item)

        return transform;
    }

    /**
     * Encode to byte array for SMB2 READ/WRITE channel info
     *
     * @param dst destination buffer
     * @param dstIndex starting index
     * @return number of bytes written
     */
    public int encode(byte[] dst, int dstIndex) {
        return transform.encode(dst, dstIndex);
    }

    @Override
    public String toString() {

from datetime import datetime
from typing import Union

from fastapi import FastAPI
from fastapi.encoders import jsonable_encoder
from pydantic import BaseModel

fake_db = {}


class Item(BaseModel):
    title: str
    timestamp: datetime
    description: Union[str, None] = None


app = FastAPI()


@app.put("/items/{id}")
def update_item(id: str, item: Item):
    json_compatible_item_data = jsonable_encoder(item)

from datetime import datetime

from fastapi import FastAPI
from fastapi.encoders import jsonable_encoder
from fastapi.responses import JSONResponse
from pydantic import BaseModel


class Item(BaseModel):
    title: str
    timestamp: datetime
    description: str | None = None


app = FastAPI()


@app.put("/items/{id}")
def update_item(id: str, item: Item):
    json_compatible_item_data = jsonable_encoder(item)

from datetime import datetime
from typing import Union

from fastapi import FastAPI
from fastapi.encoders import jsonable_encoder
from fastapi.responses import JSONResponse
from pydantic import BaseModel


class Item(BaseModel):
    title: str
    timestamp: datetime
    description: Union[str, None] = None


app = FastAPI()


@app.put("/items/{id}")
def update_item(id: str, item: Item):

		}
	}

	if opts.WantChecksum != nil {
		if checksumType.FullObjectRequested() {
			if opts.WantChecksum.Encoded != checksum.Encoded {
				err := hash.ChecksumMismatch{
					Want: opts.WantChecksum.Encoded,
					Got:  checksum.Encoded,
				}
				return oi, err
			}
		} else {
			err := opts.WantChecksum.Matches(checksumCombined, len(parts))
			if err != nil {

 * <li>{@link #settingsId}: ID of the settings.</li>
 * <li>{@link #settings}: SuggestSettings instance containing configuration settings.</li>
 * <li>{@link #encoder}: Base64 encoder instance for encoding IDs.</li>
 * </ul>
 */
public class ArraySettings {
    private static final Logger logger = LogManager.getLogger(ArraySettings.class);

    /** Default page size for search results. */

		}
		if b == ';' { // separating character
			break
		}

		// Manually deserialize the size since AWS specified
		// the chunk size to be of variable width. In particular,
		// a size of 16 is encoded as `10` while a size of 64 KB
		// is `10000`.
		switch {
		case b >= '0' && b <= '9':
			size = size<<4 | int(b-'0')
		case b >= 'a' && b <= 'f':
			size = size<<4 | int(b-('a'-10))