*   <li>Statistics grouped by POM element types</li>
 * </ul>
 *
 * <p>This tool is particularly useful for identifying memory optimization opportunities
 * in large Maven multi-module projects where POM files may contain significant
 * duplicate content.</p>
 */
public class PomMemoryAnalyzer {
    private final Map<String, Map<String, StringStats>> pathStats = new HashMap<>();

        // simple bean? assumes string constructor
        if (parser.next() == XmlPullParser.TEXT) {
            final String text = parser.getText();

            // confirm element doesn't contain nested XML
            if (parser.next() != XmlPullParser.START_TAG) {
                return convertText(text, clazz == rawType ? toType : TypeLiteral.get(clazz));
            }
        }

    return ObjectArrays.toArrayImpl(this, other);
  }

  @Override
  public boolean contains(@Nullable Object object) {
    try {
      // This set never contains null.  We need to explicitly check here
      // because some comparator might throw NPE (e.g. the natural ordering).
      return object != null && sortedDelegate.contains(object);
    } catch (ClassCastException e) {
      return false;
    }
  }

   * </ol>
   *
   * @param multimap the presumed-immutable multimap
   * @param sampleKey a key of the same type as that contained by {@code multimap}. {@code multimap}
   *     may or may not have {@code sampleKey} as a key.
   * @param sampleValue a key of the same type as that contained by {@code multimap}. {@code
   *     multimap} may or may not have {@code sampleValue} as a key.
   */

        String json = item.toJsonString();

        assertNotNull(json);
        assertTrue(json.contains("\"" + FieldNames.TEXT + "\":\"json test\""));
        assertTrue(json.contains("\"" + FieldNames.QUERY_FREQ + "\":10"));
        assertTrue(json.contains("\"" + FieldNames.TAGS + "\""));
        assertTrue(json.contains("tag1"));
    }

    @Test
    public void testKindEnum() {
        // Test Kind enum

import org.codelibs.fess.util.ComponentUtil;
import org.dbflute.optional.OptionalEntity;

/**
 * Manages a dictionary file for stemmer overrides.
 * This class handles reading, parsing, and updating files that contain
 * stemmer override rules, where each rule maps an input word to an
 * output stem. The file format is expected to be `input => output`.
 *
 * The class provides methods for retrieving, adding, updating, and

             : absl::OkStatus();
}

// Converts `ninputs` and `inputs` into `inputs_tensors` and `input_nodes` and
// does various checks while doing so. `input_nodes` will contain the same
// information as input_tensors just in a different structure to make
// following processing easier. TODO(iga): Simplify this nested structure.
absl::Status ProcessInputs(

	return &s3Error{
		code:       "EvaluatorTimestampFormatPatternHourClockAmPmMismatch",
		message:    "Time stamp format pattern contains a 12-hour hour of day format symbol but doesn't also contain an AM/PM field, or it contains a 24-hour hour of day format specifier and contains an AM/PM field in the SQL expression.",
		statusCode: 400,
		cause:      err,
	}
}

 * rules that define how input characters should be transformed to output characters
 * during text analysis and search processing.
 *
 * Character mapping files contain mapping rules in the format:
 * input1,input2,... => output
 */
public class CharMappingFile extends DictionaryFile<CharMappingItem> {
    /** Logger instance for this class. */

 * responsibility to detect and split on commas if their field permits multiple values. This
 * simplifies use of single-valued fields whose values routinely contain commas, such as cookies or
 * dates.
 *
 * This class trims whitespace from values. It never returns values with leading or trailing
 * whitespace.
 *