- **Flexibility and Control:**
Java serialization offers limited control over the serialization process, such as excluding certain fields, customizing naming conventions, and handling complex data structures more gracefully.

- **Security:**
Java serialization poses security risks, especially related to deserialization vulnerabilities.

- **Version Compatibility:**

  }

  /** @throws IllegalArgumentException if {@code existingValue} is not null. */
  /*
   * We could have declared this method 'static' but the additional compile-time checks achieved by
   * referencing the type variables seem worthwhile.
   */
  final void checkNoDuplicate(R rowKey, C columnKey, @CheckForNull V existingValue, V newValue) {
    checkArgument(

        }
        final Matcher matcher = getTagPattern().matcher(input);
        final StringBuffer sb = new StringBuffer();
        final Pattern attrPattern = Pattern.compile("\\s[^ ]+=\"([^\"]*)\"");
        while (matcher.find()) {
            final String tagStr = matcher.group();
            final Matcher attrMatcher = attrPattern.matcher(tagStr);

    public static final Pattern LUCENE_FIELD_RESERVED_PATTERN = Pattern.compile("([+\\-!\\(\\){}\\[\\]^\"~\\\\:\\p{Zs}]|(&&)|(\\|\\|))"); // "*", "?",

    public static final Pattern LUCENE_RANGE_FIELD_RESERVED_PATTERN = Pattern.compile("([!\\(\\){}\\[\\]\"~\\\\:\\p{Zs}]|(&&)|(\\|\\|))");

    public static final String DEFAULT_QUERY_OPERATOR = "fess.DefaultQueryOperator";

    Integer newValue = map.getInstance(Integer.class);
    assertEquals(7, (int) newValue);
    assertEquals(7, (int) map.getInstance(TypeToken.of(Integer.class)));

    // Won't compile: map.putInstance(Double.class, new Long(42));
  }

  public void testNull() {
    assertThrows(
        NullPointerException.class,
        () -> map.putInstance((TypeToken<Integer>) null, Integer.valueOf(1)));

# inside the TensorFlow root directory. We then define them as a filegroup
# target inside "tensorflow/tools/toolchains/cross_compile/cc" so that Bazel
# can register it as an input to compile/link actions and send it to the remote
# VMs when needed.
# TODO(b/316932689): Avoid copying and replace with a local repository rule.
if [[ "$TFCI_MACOS_CROSS_COMPILE_ENABLE" == 1 ]]; then

# Extra Data Types

Up to now, you have been using common data types, like:

* `int`
* `float`
* `str`
* `bool`

But you can also use more complex data types.

And you will still have the same features as seen up to now:

* Great editor support.
* Data conversion from incoming requests.
* Data conversion for response data.
* Data validation.
* Automatic annotation and documentation.

## Other data types

Etienne Studer <******@****.***> <******@****.***>
Etienne Studer <******@****.***> <******@****.***>
Etienne Studer <******@****.***> <log>
Gary Hale <******@****.***> <ghhale@computer.org>
Hans Dockter <******@****.***>
Hans Dockter <******@****.***> <******@****.***>
Hans Dockter <******@****.***> <******@****.***>
Hans Dockter <******@****.***> <******@****.***>

  )
except subprocess.CalledProcessError as e:
  print("No failures found to log!")
  exit(0)

# For test cases, only show the ones that failed that have text (a log)
seen = collections.Counter()
runfiles_matcher = re.compile(r"(/.*\.runfiles/)")


for f in files.strip().splitlines():
  # Just ignore any failures, they're probably not important
  try:
    r = JUnitXml.fromfile(f)
  except Exception as e:  # pylint: disable=broad-except

const val MASTER_CHECK_CONFIGURATION = "Gradle_Master_Check"
const val MAX_PROJECT_NUMBER_IN_BUCKET = 11

/**
 * Process test-class-data.json and generates test-buckets.json
 *
 * Usage: `mvn compile exec:java@update-test-buckets -DinputTestClassDataJson=/path/to/test-class-data.json`.
 * You can get the JSON file as an artifacts of the "autoUpdateTestSplitJsonOnGradleMaster" pipeline in TeamCity.
 */
fun main() {