*/
    public int getDialect() {
        return this.dialect;
    }

    /**
     * {@inheritDoc}
     *
     * @see jcifs.Decodable#decode(byte[], int, int)
     */
    @Override
    public int decode(final byte[] buffer, int bufferIndex, final int len) throws SMBProtocolDecodingException {
        final int start = bufferIndex;

    public long getFree() {
        return this.free * this.sectPerAlloc * this.bytesPerSect;
    }

    /**
     * {@inheritDoc}
     *
     * @see jcifs.Decodable#decode(byte[], int, int)
     */
    @Override
    public int decode(final byte[] buffer, int bufferIndex, final int len) throws SMBProtocolDecodingException {
        final int start = bufferIndex;
        this.alloc = SMBUtil.readInt8(buffer, bufferIndex);

`bytes` alanları olan bir Pydantic model tanımlayabilir, ardından model config'inde `val_json_bytes` kullanarak giriş JSON verisini base64 ile doğrulamasını (validate) söyleyebilirsiniz; bu doğrulamanın bir parçası olarak base64 string'i bytes'a decode eder.

{* ../../docs_src/json_base64_bytes/tutorial001_py310.py ln[1:9,29:35] hl[9] *}

`/docs`'a bakarsanız, `data` alanının base64 ile encode edilmiş bytes beklediğini görürsünüz:

<div class="screenshot">

          // otherwise try to presize a StringBuilder
          // it is kind of lame that we need to construct a decoder to access this value.
          // if this is a concern we could add special cases for some known charsets (like utf8)
          // or we could avoid inputstreamreader and use the decoder api directly
          // TODO(lukes): in a real implementation we would need to handle overflow conditions

          // otherwise try to presize a StringBuilder
          // it is kind of lame that we need to construct a decoder to access this value.
          // if this is a concern we could add special cases for some known charsets (like utf8)
          // or we could avoid inputstreamreader and use the decoder api directly
          // TODO(lukes): in a real implementation we would need to handle overflow conditions

      tmp += System.identityHashCode(encoding.encoding.encode(encodingInputs[i & INPUTS_MASK]));
    }
    return tmp;
  }

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

  @Benchmark
  public int encodingStream(int reps) throws IOException {

        bufferIndex += i.decode(buffer, bufferOffset, len);
        this.notifyInformation.add(i);

        while (i.getNextEntryOffset() > 0 && bufferIndex < bufferOffset + len) {
            bufferIndex = elemStart + i.getNextEntryOffset();
            elemStart = bufferIndex;

            i = new FileNotifyInformationImpl();
            bufferIndex += i.decode(buffer, bufferIndex, len);

    }

    @Override
    public long getSize() {
        return this.endOfFile;
    }

    /**
     * {@inheritDoc}
     *
     * @see jcifs.Decodable#decode(byte[], int, int)
     */
    @Override
    public int decode(final byte[] buffer, int bufferIndex, final int len) throws SMBProtocolDecodingException {
        final int start = bufferIndex;
        this.allocationSize = SMBUtil.readInt8(buffer, bufferIndex);

## Pydantic `bytes` { #pydantic-bytes }

You can declare a Pydantic model with `bytes` fields, and then use `val_json_bytes` in the model config to tell it to use base64 to *validate* input JSON data, as part of that validation it will decode the base64 string into bytes.

{* ../../docs_src/json_base64_bytes/tutorial001_py310.py ln[1:9,29:35] hl[9] *}

If you check the `/docs`, they will show that the field `data` expects base64 encoded bytes:

	msgp.Encode(&buf, &v)

	m := v.Msgsize()
	if buf.Len() > m {
		t.Log("WARNING: TestEncodeDecodePoolDecommissionInfo Msgsize() is inaccurate")
	}

	vn := PoolDecommissionInfo{}
	err := msgp.Decode(&buf, &vn)
	if err != nil {
		t.Error(err)
	}

	buf.Reset()
	msgp.Encode(&buf, &v)
	err = msgp.NewReader(&buf).Skip()
	if err != nil {
		t.Error(err)
	}
}