<div class="form-check">
                                            <la:checkbox styleId="jobLogging" styleClass="form-check-input" property="jobLogging"/>
                                            <label for="jobLogging" class="form-check-label">
                                                <la:message key="labels.enabled"/>

  }

  public void testHashIntReverseBytesVsHashBytesIntsToByteArray() {
    int input = 42;
    assertEquals(
        Hashing.md5().hashBytes(Ints.toByteArray(input)),
        Hashing.md5().hashInt(Integer.reverseBytes(input)));
  }

  public void testHashIntVsForLoop() {
    int input = 42;
    HashCode expected = Hashing.md5().hashInt(input);

    Hasher hasher = Hashing.md5().newHasher();

 * Each line of the `urltestdata.txt` file specifies a test. Lines look like this:
 *
 * ```
 * http://example\t.\norg http://example.org/foo/bar s:http h:example.org p:/
 * ```
 */
class WebPlatformUrlTestData {
  var input: String? = null
  var base: String? = null
  var scheme = ""
  var username = ""
  var password: String? = null
  var host = ""
  var port = ""
  var path = ""
  var query = ""
  var fragment = ""

// just enough to support pprof.
//
// Usage:
//
//	go tool addr2line binary
//
// Addr2line reads hexadecimal addresses, one per line and with optional 0x prefix,
// from standard input. For each input address, addr2line prints two output lines,
// first the name of the function containing the address and second the file:line
// of the source code corresponding to that address.
//

// A compute function. This will never actually get called in this test, it's
// just nice to know that it compiles.
void compute(void* kernel, TF_OpKernelContext* ctx) {
  TF_Tensor* input;
  TF_Status* s = TF_NewStatus();
  TF_GetInput(ctx, 0, &input, s);
  TF_DeleteTensor(input);
  TF_DeleteStatus(s);
}

// Exercises tensorflow's C API.
int main(int argc, char** argv) {
  TF_InitMain(argv[0], &argc, &argv);

	}, {
		input: makeInput(FormatGNU, "",
			makeSparseStrings(sparseDatas{{10 << 30, 512}, {20 << 30, 512}})...),
		wantMap: sparseDatas{{10 << 30, 512}, {20 << 30, 512}},
	}}

	for i, v := range vectors {
		var blk block
		var hdr Header
		v.input = v.input[copy(blk[:], v.input):]
		tr := Reader{r: bytes.NewReader(v.input)}
		got, err := tr.readOldGNUSparseMap(&hdr, &blk)
		if !slices.Equal(got, v.wantMap) {

                    "loc": ["header", "x-token"],
                    "msg": "Field required",
                    "input": None,
                },
                {
                    "type": "missing",
                    "loc": ["header", "x-key"],
                    "msg": "Field required",
                    "input": None,
                },
            ]
        }
    ) | IsDict(

	// LDADDx/SWPx/CASx atomic instructions
	return arm64.IsAtomicInstruction(op)
}

// IsARM64TBL reports whether the op (as defined by an arm64.A*
// constant) is one of the TBL-like instructions and one of its
// inputs does not fit into prog.Reg, so require special handling.
func IsARM64TBL(op obj.As) bool {
	switch op {
	case arm64.AVTBL, arm64.AVTBX, arm64.AVMOVQ:
		return true
	}
	return false
}

    /**
     * Reads up to b.length bytes of data from this input stream into an array of bytes.
     *
     * @throws IOException
     *             if a network error occurs
     */

    @Override
    public int read ( byte[] b ) throws IOException {
        return read(b, 0, b.length);
    }


    /**
     * Reads up to len bytes of data from this input stream into an array of bytes.
     *

    /**
     * Update digest with data
     * 
     * @param input
     * @param offset
     * @param len
     */
    public void update ( byte[] input, int offset, int len ) {
        if ( log.isTraceEnabled() ) {
            log.trace("update: " + this.updates + " " + offset + ":" + len);
            log.trace(Hexdump.toHexString(input, offset, Math.min(len, 256)));
        }
        if ( len == 0 ) {