int n, @Nullable Entry<K, V>[] entryArray, boolean throwIfDuplicateKeys) {
    checkPositionIndex(n, entryArray.length);
    if (n == 0) {
      @SuppressWarnings("unchecked") // it has no entries so the type variables don't matter
      ImmutableMap<K, V> empty = (ImmutableMap<K, V>) EMPTY;
      return empty;
    }
    try {
      return fromEntryArrayCheckingBucketOverflow(n, entryArray, throwIfDuplicateKeys);

/** Implementations of {@code Futures.catching*}. */
@GwtCompatible
@ElementTypesAreNonnullByDefault
@SuppressWarnings({
  // Whenever both tests are cheap and functional, it's faster to use &, | instead of &&, ||
  "ShortCircuitBoolean",
  "nullness", // TODO(b/147136275): Remove once our checker understands & and |.
})
abstract class AbstractCatchingFuture<

    assertEquals(c, navigableSet.higher(b));
    assertEquals(null, navigableSet.higher(c));
  }

  /*
   * TODO(cpovirk): make "too small" and "too large" elements available for better navigation
   * testing. At that point, we may be able to eliminate the "hole" tests, which would mean that
   * ContiguousSet's tests would no longer need to suppress them.
   */
  @CollectionSize.Require(SEVERAL)

   */
  @GwtIncompatible // regular expressions
  static final
  java.util.regex.Pattern
      FLOATING_POINT_PATTERN = fpPattern();

  @GwtIncompatible // regular expressions
  private static
  java.util.regex.Pattern
      fpPattern() {
    /*
     * We use # instead of * for possessive quantifiers. This lets us strip them out when building

					// Break out on errors.
					sendResult()
					return
				}
			}

			sendResult()
			if !opts.autotune {
				break
			}

			// Try with a higher concurrency to see if we get better throughput
			concurrency += (concurrency + 1) / 2
		}
	}()
	return ch
}

func driveSpeedTest(ctx context.Context, opts madmin.DriveSpeedTestOpts) madmin.DriveSpeedTestResult {
	perf := &dperf.DrivePerf{

## Future

By this point, it's already clear that **FastAPI** with its ideas is being useful for many people.

It is being chosen over previous alternatives for suiting many use cases better.

Many developers and teams already depend on **FastAPI** for their projects (including me and my team).

But still, there are many improvements and features to come.

**FastAPI** has a great future ahead.

        .putShort((short) 0x0000)
        .putShort((short) 0x0000);
    assertEquals(hashCode, hasher.hash().asLong());
  }

  public void testHashFloatIsStable() {
    // Just a spot check.  Better than nothing.
    Hasher hasher = HASH_FN.newHasher();
    hasher.putFloat(0x01000101f).putFloat(0f);
    assertEquals(0x49f9d18ee8ae1b28L, hasher.hash().asLong());

    hasher = HASH_FN.newHasher();

    assertThat(Resources.toByteArray(resource)).isEqualTo(I18N.getBytes(UTF_8));
  }

  public void testReadLines() throws IOException {
    // TODO(chrisn): Check in a better resource
    URL resource = getClass().getResource("testdata/i18n.txt");
    assertEquals(ImmutableList.of(I18N), Resources.readLines(resource, UTF_8));
  }

   * interned, thus preventing these instances from being garbage-collected. If this retention is
   * acceptable, this implementation may perform better than {@link #newWeakInterner}.
   */
  public static <E> Interner<E> newStrongInterner() {
    return newBuilder().strong().build();
  }

  /**

the same address may also share the same underlying TCP socket connection. Sharing a connection has substantial performance benefits: lower latency, higher throughput (due to [TCP slow start](https://www.igvita.com/2011/10/20/faster-web-vs-tcp-slow-start/)) and conserved battery. OkHttp uses a [ConnectionPool](https://square.github.io/okhttp/4.x/okhttp/okhttp3/-connection-pool/) that automatically reuses HTTP/1.x connections and multiplexes HTTP/2 connections.

In OkHttp some fields of the address...