Todas las dependencias que hemos visto son una función o clase fija.

Pero podría haber casos en los que quieras poder establecer parámetros en la dependencia, sin tener que declarar muchas funciones o clases diferentes.

Imaginemos que queremos tener una dependencia que revise si el parámetro de query `q` contiene algún contenido fijo.

Pero queremos poder parametrizar ese contenido fijo.

		if paddinglen == 0 {
			seq = append(seq, fmt.Sprintf("%d", i))
		} else {
			seq = append(seq, fmt.Sprintf(fmt.Sprintf("%%0%dd", paddinglen), i))
		}
	}
	return seq
}

// Test tests parses endpoint ellipses input pattern.
func TestParseEndpointSet(t *testing.T) {
	testCases := []struct {
		arg     string
		es      endpointSet
		success bool
	}{
		// Tests invalid inputs.
		{
			"...",

   * it is returned directly. Otherwise, a new array of size {@code minLength + padding} is
   * returned, containing the values of {@code array}, and zeroes in the remaining places.
   *
   * @param array the source array
   * @param minLength the minimum length the returned array must guarantee
   * @param padding an extra amount to "grow" the array by if growth is necessary

        } finally {
            der.close();
        }
        return collector.toByteArray();
    }

    @Test
    @DisplayName("Round-trip: all fields set encodes and parses back correctly")
    void testRoundTripAllFields() throws Exception {
        ASN1ObjectIdentifier[] mechs = new ASN1ObjectIdentifier[] { OID_KRB, OID_NTLM };

    }

    @SuppressWarnings("checkstyle:methodlength")
    protected ModelBuildingResult build(ModelBuildingRequest request, Collection<String> importIds)
            throws ModelBuildingException {
        // phase 1
        DefaultModelBuildingResult result = new DefaultModelBuildingResult();

        DefaultModelProblemCollector problems = new DefaultModelProblemCollector(result);

        // read and validate raw model

		objName       string
		inputData     []byte
		inputMeta     map[string]string
		inputDataSize int64
		// flag indicating whether the test should pass.
		shouldPass bool
		// expected error output.
		expectedMd5   string
		expectedError error
	}{
		// Validating for success cases.
		{bucket, object, []byte("abcd"), map[string]string{"etag": "e2fc714c4727ee9395f324cd2e7f331f"}, int64(len("abcd")), true, "", nil},

import org.codehaus.plexus.PlexusContainer;
import org.codehaus.plexus.component.repository.exception.ComponentLookupException;
import org.codehaus.plexus.logging.Logger;
import org.codehaus.plexus.personality.plexus.lifecycle.phase.Disposable;
import org.eclipse.aether.RepositorySystem;
import org.eclipse.aether.RepositorySystemSession;
import org.eclipse.aether.repository.LocalRepositoryManager;
import org.eclipse.aether.resolution.ArtifactRequest;

            .createTestSuite());

    suite.addTest(
        SetTestSuiteBuilder.using(new ImmutableSetWithBadHashesGenerator())
            .named(ImmutableSetTest.class.getName() + ", with bad hashes")
            .withFeatures(
                CollectionSize.ANY,
                CollectionFeature.KNOWN_ORDER,
                CollectionFeature.ALLOWS_NULL_QUERIES)
            .createTestSuite());

import java.io.DataInputStream;
import java.io.IOException;
import java.util.Date;

import jcifs.smb.SID;

/**
 * Contains user logon information from a PAC (Privilege Attribute Certificate).
 * This class parses and provides access to user authentication and authorization
 * data from Kerberos tickets, including user identity, group memberships, and
 * logon metadata.
 */
public class PacLogonInfo {

    private Date logonTime;

     *     done | tee testoutput
     * - Move that testcases file to the appropriate name under testdata.
     *
     * The last test will take hours, and if it passes, the output will be empty.
     */
    doExtensiveTest("testdata/simplifypathnoprefixtests.txt");
  }

  private void doExtensiveTest(String resourceName) throws IOException {