### Creating the `Settings` only once with `lru_cache` { #creating-the-settings-only-once-with-lru-cache }

Reading a file from disk is normally a costly (slow) operation, so you probably want to do it only once and then reuse the same settings object, instead of reading it for each request.

But every time we do:

```Python
Settings()
```

   * this address.
   *
   * If [planToReplace] is non-null, this will swap it for a pooled connection if that pooled
   * connection uses HTTP/2. That results in fewer sockets overall and thus fewer TCP slow starts.
   */
  internal fun planReusePooledConnection(
    planToReplace: ConnectPlan? = null,
    routes: List<Route>? = null,
  ): ReusePlan? {
    val result =

    List<String> list = ImmutableList.of("a", "b");
    Iterator<String> iterator = skip(list, 2).iterator();
    assertThrows(UnsupportedOperationException.class, () -> iterator.remove());
  }

  @GwtIncompatible // slow (~35s)
  public void testSkip_iterator() {
    new IteratorTester<Integer>(
        5, MODIFIABLE, newArrayList(2, 3), IteratorTester.KnownOrder.KNOWN_ORDER) {
      @Override

    assertEquals(1, partition(list, Integer.MAX_VALUE).size());
    assertEquals(1, partition(list, Integer.MAX_VALUE - 1).size());
  }

  @GwtIncompatible // cannot do such a big explicit copy
  @J2ktIncompatible // too slow
  public void testPartitionSize_2() {
    assertEquals(2, partition(nCopies(0x40000001, 1), 0x40000000).size());
  }

     * replaces the allowed ASCII whitespace characters with themselves and to set the minimum safe
     * character to 0x20. However this would slow down the escaping of simple strings that contain
     * \t, \n, or \r.
     */
    for (char c = MIN_ASCII_CONTROL_CHAR; c <= MAX_ASCII_CONTROL_CHAR; c++) {
      if (c != '\t' && c != '\n' && c != '\r') {

   * code would be responsible for populating a "real" {@code T} (which might still be the value
   * {@code null}!) before returning it to callers. Depending on how the code is structured, a
   * nullness analysis might not understand that the field has been populated. To avoid that problem
   * without having to add {@code @SuppressWarnings}, the code can call this method.
   *

import java.util.Map;
import java.util.Map.Entry;
import org.jspecify.annotations.NullMarked;
import org.jspecify.annotations.Nullable;
import org.junit.Ignore;

/**
 * Base class for map testers.
 *
 * <p>TODO: see how much of this is actually needed once Map testers are written. (It was cloned
 * from AbstractCollectionTester.)
 *
 * @param <K> the key type of the map to be tested.
 * @param <V> the value type of the map to be tested.

    // is not available in GWT yet.  To keep the code simple and code size more,
    // we make a copy here, instead of creating a view of it.
    //
    // TODO: revisit if it's unbearably slow or when GWT supports
    // TreeMap.navigatbleKeySet().
    return ImmutableSortedSet.copyOf(comparator, sortedDelegate.keySet());
  }

  @Override
  public Comparator<? super K> comparator() {

import org.junit.jupiter.api.Timeout
import org.junit.jupiter.api.extension.RegisterExtension
import org.junit.jupiter.params.ParameterizedTest
import org.junit.jupiter.params.provider.ArgumentsSource

@Timeout(30)
@Tag("Slow")
class CancelTest {
  @JvmField @RegisterExtension
  val platform = PlatformRule()

  lateinit var cancelMode: CancelMode
  lateinit var connectionType: ConnectionType

  private var threadToCancel: Thread? = null

      // but work beyond that must take at least one second
      assertTrue(afterBurst >= 1000);
    }
  }

  /**
   * This neat test shows that no matter what weights we use in our requests, if we push X amount of
   * permits in a cool state, where X = rate * timeToCoolDown, and we have specified a