* lifted. Such writes occur on an application-provided thread and may occur concurrently with
   * reads of the [ResponseBody]. For duplex request bodies, [writeTo] should return
   * quickly, possibly by handing off the provided request body to another thread to perform
   * writing.
   *
   * [grpc]: https://github.com/grpc/grpc/blob/master/doc/PROTOCOL-HTTP2.md
   */
  open fun isDuplex(): Boolean = false

![GitHub Release](https://img.shields.io/github/v/release/codelibs/fess)


## Overview

Fess is a very powerful and easily deployable Enterprise Search Server. You can quickly install and run Fess on any platform where you can run the Java Runtime Environment. Fess is provided under the [Apache License 2.0](LICENSE).

import com.google.common.annotations.GwtCompatible;
import java.util.Map;
import org.jspecify.annotations.Nullable;

/**
 * A {@link CharEscaper} that uses an array to quickly look up replacement characters for a given
 * {@code char} value. An additional safe range is provided that determines whether {@code char}
 * values without specific replacements are to be considered safe and left unescaped or should be

            long startTime = System.nanoTime();
            info.decode(largeBuffer, 0, 24);
            long endTime = System.nanoTime();

            // Should complete quickly (under 1ms)
            assertTrue((endTime - startTime) < 1_000_000);
        }

        @ParameterizedTest
        @ValueSource(ints = { 24, 32, 100, 1000, 10000 })

 *
 * <p>Lookups by row key are often faster than lookups by column key, because the data is stored in
 * a {@code Map<R, Map<C, V>>}. A method call like {@code column(columnKey).get(rowKey)} still runs
 * quickly, since the row key is provided. However, {@code column(columnKey).size()} takes longer,
 * since an iteration across all row keys occurs.
 *
 * <p>Because a {@code TreeBasedTable} has unique sorted values for a given row, both {@code

 *
 * <p>Lookups by row key are often faster than lookups by column key, because the data is stored in
 * a {@code Map<R, Map<C, V>>}. A method call like {@code column(columnKey).get(rowKey)} still runs
 * quickly, since the row key is provided. However, {@code column(columnKey).size()} takes longer,
 * since an iteration across all row keys occurs.
 *
 * <p>Because a {@code TreeBasedTable} has unique sorted values for a given row, both {@code

import static java.lang.Math.min;

import com.google.common.annotations.GwtCompatible;
import java.util.Map;
import org.jspecify.annotations.Nullable;

/**
 * A {@link UnicodeEscaper} that uses an array to quickly look up replacement characters for a given
 * code point. An additional safe range is provided that determines whether code points without
 * specific replacements are to be considered safe and left unescaped or should be escaped in a

  /**
   * Returns the value corresponding to the specified row and column indices. The same value is
   * returned by {@code get(rowKeyList().get(rowIndex), columnKeyList().get(columnIndex))}, but this
   * method runs more quickly.
   *
   * @param rowIndex position of the row key in {@link #rowKeyList()}
   * @param columnIndex position of the row key in {@link #columnKeyList()}
   * @return the value with the specified row and column

            assertFalse(auth1.equals(auth3));

            // Test empty vs password
            assertFalse(auth2.equals(auth3));

            // These operations should complete quickly and consistently
            long startTime = System.nanoTime();
            for (int i = 0; i < 1000; i++) {
                auth1.equals(auth2);
                auth1.equals(auth3);
                auth2.equals(auth3);

    when doing so. Write an attack scenario that demonstrates how your issue
    violates the use cases and security assumptions defined in the threat model.
    This will help us evaluate your report quickly, especially if the issue is
    complex.
  - Whether this vulnerability is public or known to third parties. If it is,
    please provide details.