* recommended that the caller does not persist a reference to the backing map (unless the backing
 * map is immutable).
 *
 * <p>This class is tailored toward use cases in common.graph. It is *NOT* a general purpose map.
 *
 * @author James Sexton
 */
class MapIteratorCache<K, V> {
  private final Map<K, V> backingMap;

  /*

 * multimap's iterators would propagate through the keys and values in sorted order.
 *
 * <p>Keys and values may be null, as long as the underlying collection classes support null
 * elements.
 *
 * <p>The collections created by {@link #createCollection()} may or may not allow duplicates. If the
 * collection, such as a {@link Set}, does not support duplicates, an added key-value pair will

# Object classes for LDAP admin user.
ldap.admin.user.object.classes=organizationalPerson,top,person,inetOrgPerson
# Role filter for LDAP admin.
ldap.admin.role.filter=cn\=%s
# Base DN for LDAP admin role.
ldap.admin.role.base.dn=ou\=Role,dc\=fess,dc\=codelibs,dc\=org
# Object classes for LDAP admin role.
ldap.admin.role.object.classes=groupOfNames
# Group filter for LDAP admin.

        .contains("com/google/common/reflect/ClassPathTest.class");
  }

  private static ClassPath.ClassInfo findClass(
      Iterable<ClassPath.ClassInfo> classes, Class<?> cls) {
    for (ClassPath.ClassInfo classInfo : classes) {
      if (classInfo.getName().equals(cls.getName())) {
        return classInfo;
      }
    }
    throw new AssertionError("failed to find " + cls);
  }

				// when Writes() scale higher than Reads()
				// - practically speaking this never happens
				// and should never happen - however it has
				// been seen recently due to hardware issues
				// causes Reads() to go slower than Writes().
				//
				// Send such results anyways as this shall
				// expose a problem underneath.
				if totalPut > throughputHighestPut {
					throughputHighestResults = results

        leftoverFiles.forEach {
            assertTrue(projectDir.resolve(it).walk().filter { it.isFile }.toList().isEmpty())
        }
    }

    @Test
    fun `fail build if leftover file found and test passes`() {
        val result = run(":successful-test-with-leftover:test", "--no-watch-fs").buildAndFail()
        assertEquals(TaskOutcome.SUCCESS, result.task(":successful-test-with-leftover:test")!!.outcome)

  var result = STANDARD_DATE_FORMAT.get().parse(this, position)
  if (position.index == length) {
    // STANDARD_DATE_FORMAT must match exactly; all text must be consumed, e.g. no ignored
    // non-standard trailing "+01:00". Those cases are covered below.
    return result
  }
  synchronized(BROWSER_COMPATIBLE_DATE_FORMAT_STRINGS) {
    for (i in 0 until BROWSER_COMPATIBLE_DATE_FORMAT_STRINGS.size) {

   * those sublists might implement a private {@code MySubList} type but serialize as a plain {@code
   * MyList} to save space. So long as {@code MyList} has all the public supertypes of {@code
   * MySubList}, this is safe. For these cases, for which {@code reserializeAndAssert} is too
   * strict, use {@link #reserialize}.
   *
   * @return the re-serialized object
   * @throws RuntimeException if the specified object was not successfully serialized or

import org.codelibs.fess.crawler.entity.ExtractData;
import org.codelibs.fess.crawler.exception.CrawlerSystemException;
import org.dbflute.utflute.core.PlainTestCase;

/**
 * Enhanced test class for FilenameExtractor covering edge cases and new functionality.
 */
public class FilenameExtractorEnhancedTest extends PlainTestCase {

    private FilenameExtractor filenameExtractor;

    @Override
    protected void setUp() throws Exception {

import org.codelibs.fess.crawler.exception.CrawlerSystemException;
import org.codelibs.fess.crawler.interval.IntervalController;
import org.dbflute.utflute.core.PlainTestCase;

/**
 * Test cases for {@link AbstractIntervalController}
 *
 * @author shinsuke
 */
public class AbstractIntervalControllerTest extends PlainTestCase {

    /**
     * Test implementation of AbstractIntervalController for testing