* href="http://gee.cs.oswego.edu/dl/html/StreamParallelGuidance.html">efficiently splittable</a>
   * if and only if {@code stream} was efficiently splittable and its underlying spliterator
   * reported {@link Spliterator#SUBSIZED}. This is generally the case if the underlying stream
   * comes from a data structure supporting efficient indexed random access, typically an array or
   * list.
   *

For a **web API**, it normally involves putting it in a **remote machine**, with a **server program** that provides good performance, stability, etc, so that your **users** can **access** the application efficiently and without interruptions or problems.

This is in contrast to the **development** stages, where you are constantly changing the code, breaking it and fixing it, stopping and restarting the development server, etc.

        };

        String result = Hexdump.toHexString(data);
        assertEquals("00FF7F80", result);
    }

    @Test
    @DisplayName("Should handle large byte arrays efficiently")
    void testLargeByteArray() {
        // Create a larger test array
        byte[] data = createTestData(1024);

        // Test full array conversion
        String result = Hexdump.toHexString(data);

            }
        }
    }

    @Nested
    @DisplayName("Performance Tests")
    class PerformanceTests {

        @Test
        @DisplayName("Should handle repeated encoding efficiently")
        void testRepeatedEncoding() {
            TestCreateContextRequest request = new TestCreateContextRequest("PERFORMANCE".getBytes(StandardCharsets.UTF_8));
            byte[] buffer = new byte[256];

        }
    }

    @Nested
    @DisplayName("Performance and concurrency")
    class PerformanceTests {

        @Test
        @DisplayName("Should handle multiple lookups efficiently")
        void testMultipleLookups() throws IOException {
            // Test that multiple lookups work correctly
            for (int i = 0; i < 100; i++) {

            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)) {

OkHttp
======

See the [project website][okhttp] for documentation and APIs.

HTTP is the way modern applications network. It’s how we exchange data & media. Doing HTTP
efficiently makes your stuff load faster and saves bandwidth.

OkHttp is an HTTP client that’s efficient by default:

 * HTTP/2 support allows all requests to the same host to share a socket.
 * Connection pooling reduces request latency (if HTTP/2 isn’t available).

            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

            });

            // 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();

      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());
  }