import jakarta.validation.ConstraintValidator;
import jakarta.validation.ConstraintValidatorContext;

/**
 * Validator implementation for URI type constraints.
 * This validator checks URI strings against specified protocol types.
 */
public class UriTypeValidator implements ConstraintValidator<UriType, String> {

    /**
     * Default constructor for UriTypeValidator.
     */
    public UriTypeValidator() {

import java.util.List;
import java.util.ListIterator;
import org.jspecify.annotations.NullMarked;
import org.jspecify.annotations.Nullable;

/**
 * A utility similar to {@link IteratorTester} for testing a {@link ListIterator} against a known
 * good reference implementation. As with {@code IteratorTester}, a concrete subclass must provide
 * target iterators on demand. It also requires three additional constructor parameters: {@code

    /**
     * Creates a new SitemapsRule instance.
     */
    public SitemapsRule() {
        super();
    }

    /**
     * Matches the given response data against the sitemaps rule.
     * @param responseData The response data.
     * @return true if the response data matches the sitemaps rule, false otherwise.
     */
    @Override

   * want to accept ASCII digits only, you can use something like {@code
   * CharMatcher.ascii().matchesAllOf(ipString)}.
   *
   * <p>The scope ID is validated against the interfaces on the machine, which requires permissions
   * under Android.
   *
   * <p><b>Android users on API >= 29:</b> Prefer {@code InetAddresses.parseNumericAddress}.
   *

      Contribution(s) alone or by combination of their Contribution(s)
      with the Work to which such Contribution(s) was submitted. If You
      institute patent litigation against any entity (including a
      cross-claim or counterclaim in a lawsuit) alleging that the Work
      or a Contribution incorporated within the Work constitutes direct

which could allow them to execute arbitrary code on the system running
TensorFlow.

It is important to keep TensorFlow up to date with the latest security patches
and follow the sandboxing guideline above to protect against these types of
vulnerabilities.

## Security properties of execution modes

TensorFlow has several execution modes, with Eager-mode being the default in v2.

   * safe range. If {@code safeMax < safeMin} then no code points are considered safe.
   *
   * <p>If a code point has no mapped replacement then it is checked against the safe range. If it
   * lies outside that, then {@link #escapeUnsafe} is called, otherwise no escaping is performed.
   *
   * @param replacementMap a map of characters to their escaped representations

@Retention(RUNTIME)
@Documented
@Constraint(validatedBy = UriTypeValidator.class)
public @interface UriType {

    /**
     * Specifies the protocol type to validate against.
     *
     * @return the protocol type
     */
    ProtocolType protocolType();

    /**
     * The validation error message.
     *
     * @return the error message
     */

        id("${model.projectId}_SmokeTest_$id")
        name = "Smoke Tests with 3rd Party Plugins ($task) - ${testJava.version.toCapitalized()} Linux"
        description = "Smoke tests against third party plugins to see if they still work with the current Gradle version"

        tcParallelTests(splitNumber)

        requirements {

     */
    /**
     * Gets the first rule that matches the given response data.
     * @param responseData the response data to match against
     * @return the first matching rule, or null if no rule matches
     */
    @Override
    public Rule getRule(final ResponseData responseData) {
        for (final Rule rule : ruleList) {