checkNotNull(mergeFunction, "mergeFunction");

    /*
     * No mutable Table exactly matches the insertion order behavior of ImmutableTable.Builder, but
     * the Builder can't efficiently support merging of duplicate values.  Getting around this
     * requires some work.
     */

    return Collector.of(
        ImmutableTableCollectorState<R, C, V>::new,
        (state, input) ->

    checkNotNull(mergeFunction, "mergeFunction");

    /*
     * No mutable Table exactly matches the insertion order behavior of ImmutableTable.Builder, but
     * the Builder can't efficiently support merging of duplicate values.  Getting around this
     * requires some work.
     */

    return Collector.of(
        ImmutableTableCollectorState<R, C, V>::new,
        (state, input) ->

   *
   * <p>If the character does not need to be escaped, this method should return {@code null}, rather
   * than a one-character array containing the character itself. This enables the escaping algorithm
   * to perform more efficiently.
   *
   * <p>An escaper is expected to be able to deal with any {@code char} value, so this method should
   * not throw any exceptions.
   *
   * @param c the character to escape if necessary

  /**
   * Returns an {@link Escaper} that does no escaping, passing all character data through unchanged.
   */
  public static Escaper nullEscaper() {
    return NULL_ESCAPER;
  }

  // An Escaper that efficiently performs no escaping.
  // Extending CharEscaper (instead of Escaper) makes Escapers.compose() easier.
  private static final Escaper NULL_ESCAPER =
      new CharEscaper() {
        @Override

            entry.context = getContextMap();
            if (context != null) {
                entry.context.putAll(maskContext(context));
            }

            // Add MDC context efficiently
            addMdcContext(entry.context);

            // Process asynchronously or synchronously based on configuration
            if (asyncLogging && !shutdown) {
                if (!logQueue.offer(entry)) {

## Connection Pool

A primary responsibility for any HTTP client is to efficiently manage network connections. Creating and establishing new connections require a fair amount of overhead and added latency. OkHttp will make every effort to reuse existing connections to avoid this overhead and added latency.

            });

            // Capacity should not be negative (overflow check)
            assertTrue(info.getCapacity() != 0);
        }

        @Test
        @DisplayName("Should decode efficiently for large buffers")
        void testLargeBufferDecoding() throws SMBProtocolDecodingException {
            byte[] largeBuffer = new byte[10000];
            FileFsSizeInformation info = new FileFsSizeInformation();

            int result = response.writeBytesWireFormat(dst, 0);

            // Then
            assertEquals(0, result);
        }

        @Test
        @DisplayName("Should handle large arrays efficiently")
        void testWriteBytesWireFormatWithLargeArray() {
            // Given
            byte[] dst = new byte[65536]; // 64KB array

            // When

      product *= normalizedNum;
      productBits = LongMath.log2(product, FLOOR) + 1;
    }
    // Check for leftovers.
    if (product > 1) {
      bignums.add(BigInteger.valueOf(product));
    }
    // Efficiently multiply all the intermediate products together.
    return listProduct(bignums).shiftLeft(shift);
  }

  static BigInteger listProduct(List<BigInteger> nums) {
    return listProduct(nums, 0, nums.size());
  }

    }

    @Override
    public List<Long> subList(int fromIndex, int toIndex) {
      return parent.subArray(fromIndex, toIndex).asList();
    }

    // The default List spliterator is not efficiently splittable
    @Override
    /*
     * This is an override that is not directly visible to callers, so NewApi will catch calls to
     * Collection.spliterator() where necessary.
     */
    @IgnoreJRERequirement