sink.flush()
  }

  @Throws(IOException::class)
  fun writeMessageFrame(
    formatOpcode: Int,
    data: ByteString,
  ) {
    if (writerClosed) throw IOException("closed")

    messageBuffer.write(data)

    var b0 = formatOpcode or B0_FLAG_FIN
    if (perMessageDeflate && data.size >= minimumDeflateSize) {
      val messageDeflater =
        this.messageDeflater

    }
    String string = sb.toString();
    sb.setLength(0);
    data = ByteSource.wrap(string.getBytes(charset));
  }

  @Benchmark
  public int timeCopy(int reps) throws IOException {
    int r = 0;
    Charset localCharset = charset;
    ByteSource localData = data;
    ReadStrategy localStrategy = strategy;
    for (int i = 0; i < reps; i++) {

/**
 * An {@link OutputStream} that maintains a hash of the data written to it.
 *
 * @author Zoe Piepmeier
 * @since 16.0
 */
@Beta
public final class HashingOutputStream extends FilterOutputStream {
  private final Hasher hasher;

  /**
   * Creates an output stream that hashes using the given {@link HashFunction}, and forwards all
   * data written to it to the underlying {@link OutputStream}.
   *

    * If you didn't use FastAPI and used Starlette directly (or another tool, like Sanic, Flask, Responder, etc) you would have to implement all the data validation and serialization yourself. So, your final application would...

    /**
     * Wraps outgoing DCERPC message data for security protection
     * @param outgoing the buffer containing data to be wrapped
     * @throws DcerpcException if the wrapping operation fails
     */
    void wrap(NdrBuffer outgoing) throws DcerpcException;

    /**
     * Unwraps incoming DCERPC message data after security processing
     * @param incoming the buffer containing data to be unwrapped

        dstIndex += 4;

        final byte[] data = this.path.getBytes(StandardCharsets.UTF_16LE);
        final int offsetOffset = dstIndex;
        SMBUtil.writeInt2(data.length, dst, dstIndex + 2);
        dstIndex += 4;
        SMBUtil.writeInt2(dstIndex - getHeaderStart(), dst, offsetOffset);

        System.arraycopy(data, 0, dst, dstIndex, data.length);
        dstIndex += data.length;
        return dstIndex - start;
    }

export MC_HOST_minio2=https://minio:minio123@localhost:9002

./mc ready minio1 --insecure
./mc ready minio2 --insecure

# Prepare data for tests
echo -n "Preparing test data ..."
mkdir -p /tmp/data
echo "Hello World" >/tmp/data/obj
touch /tmp/data/mpartobj
shred -s 500M /tmp/data/mpartobj
echo "done"

# Add replication site
./mc admin replicate add minio1 minio2 --insecure
# sleep for replication to complete
sleep 30

Declare the **query parameters** that you need in a **Pydantic model**, and then declare the parameter as `Query`:

{* ../../docs_src/query_param_models/tutorial001_an_py310.py hl[9:13,17] *}

**FastAPI** will **extract** the data for **each field** from the **query parameters** in the request and give you the Pydantic model you defined.

## Check the Docs { #check-the-docs }

You can see the query parameters in the docs UI at `/docs`:

errors.crud_failed_to_create_instance = Failed to create a new data.
errors.crud_failed_to_create_crud_table = Failed to create a new data. ({0})
errors.crud_failed_to_update_crud_table=Failed to update the data. ({0})
errors.crud_failed_to_delete_crud_table=Failed to delete the data. ({0})
errors.crud_could_not_find_crud_table = The data {0} is not found.
errors.could_not_find_backup_index=Could not find any backup index.

errors.crud_failed_to_create_instance = Failed to create a new data.
errors.crud_failed_to_create_crud_table = Failed to create a new data. ({0})
errors.crud_failed_to_update_crud_table=Failed to update the data. ({0})
errors.crud_failed_to_delete_crud_table=Failed to delete the data. ({0})
errors.crud_could_not_find_crud_table = The data {0} is not found.
errors.could_not_find_backup_index=Could not find any backup index.