defer clientConn.Close()

	const data = "data"
	r := bufio.NewReader(strings.NewReader(data))
	n, err := io.Copy(clientConn, r)
	if err != nil {
		t.Fatal(err)
	}

	if n != int64(len(data)) {
		t.Errorf("io.Copy returned %d, want %d", n, len(data))
	}

	clientConn.Close()
	tot := <-ch

	if tot != len(data) {
		t.Errorf("server read %d, want %d", tot, len(data))
	}

///

## About "Form Fields" { #about-form-fields }

The way HTML forms (`<form></form>`) sends the data to the server normally uses a "special" encoding for that data, it's different from JSON.

**FastAPI** will make sure to read that data from the right place instead of JSON.

/// note | Technical Details

Data from forms is normally encoded using the "media type" `application/x-www-form-urlencoded`.

     *
     * @param data the raw signature data to parse
     * @throws PACDecodingException if the data is malformed or cannot be parsed
     */
    public PacSignature(final byte[] data) throws PACDecodingException {
        try {
            final PacDataInputStream bufferStream = new PacDataInputStream(new DataInputStream(new ByteArrayInputStream(data)));

                                                           items="${requestHeaderItems}">
                                                    <tr
                                                            data-href="${contextPath}/admin/reqheader/details/4/${f:u(data.id)}">
                                                        <td>${f:h(data.name)}</td>

        return this.fileId;
    }

    /**
     * Gets the decoded output data from the response.
     *
     * @return the outputData
     */
    public Decodable getOutputData() {
        return this.outputData;
    }

    /**
     * Gets the length of the output data.
     *
     * @return the outputLength
     */
    public int getOutputLength() {

        byte[] key = new byte[16];
        Arrays.fill(key, (byte) 0x0b);
        byte[] data = "Hi There".getBytes();

        // Expected result calculated manually for HMACT64 with this key and data
        HMACT64 hmac = new HMACT64(key);
        hmac.engineUpdate(data, 0, data.length);
        byte[] result = hmac.engineDigest();

        // Verify it produces a valid MD5 hash (16 bytes)

        data.setAllPageCount(queryResponseList.getAllPageCount());
        data.setExistNextPage(queryResponseList.isExistNextPage());
        data.setExistPrevPage(queryResponseList.isExistPrevPage());
        data.setCurrentStartRecordNumber(queryResponseList.getCurrentStartRecordNumber());
        data.setCurrentEndRecordNumber(queryResponseList.getCurrentEndRecordNumber());
        data.setPageNumberList(queryResponseList.getPageNumberList());

when dealing with untrusted data. Based on the security history of these
libraries we consider that it is safe to work with untrusted inputs for PNG,
BMP, GIF, WAV, RAW, RAW\_PADDED, CSV and PROTO formats. All other input formats,
including tensorflow-io should be sandboxed if used to process untrusted data.

For example, if an attacker were to upload a malicious video file, they could

            pageSize = data.getPageSize();
            pageNumber = data.getCurrentPageNumber();
            recordCount = data.getAllRecordCount();
            recordCountRelation = data.getAllRecordCountRelation();
            pageCount = data.getAllPageCount();
            nextPage = data.isExistNextPage();
            prevPage = data.isExistPrevPage();
            startRecordNumber = data.getCurrentStartRecordNumber();

  @Override
  protected Table<String, Integer, Character> create(@Nullable Object... data) {
    Table<String, Integer, String> table = HashBasedTable.create();
    checkArgument(data.length % 3 == 0);
    for (int i = 0; i < data.length; i += 3) {
      String value = (data[i + 2] == null) ? null : (data[i + 2] + "transformed");
      table.put((String) data[i], (Integer) data[i + 1], value);
    }
    return transformValues(table, FIRST_CHARACTER);
  }