listTable = new Entry[initialCapacity];
        threshold = (int) (initialCapacity * LOAD_FACTOR);
    }

    /**
     * 指定された{@link Map}と同じマッピングでインスタンスを構築します。
     *
     * @param map
     *            マッピングがこのマップに配置されるマップ
     */
    public ArrayMap(final Map<? extends K, ? extends V> map) {
        this((int) (map.size() / LOAD_FACTOR) + 1);
        putAll(map);
    }

    @Override
    public int size() {

  private static final double DESIRED_LOAD_FACTOR = 0.5;

  /**
   * Returns an array size suitable for the backing array of a hash table that uses open addressing
   * with linear probing in its implementation. The returned size is the smallest power of two that
   * can hold setSize elements with the desired load factor.
   */
  @VisibleForTesting
  static int chooseTableSize(int setSize) {

  static final int DEFAULT_EDGE_COUNT = DEFAULT_NODE_COUNT * EXPECTED_DEGREE;

  // Load factor and capacity for "inner" (i.e. per node/edge element) hash sets or maps
  static final float INNER_LOAD_FACTOR = 1.0f;
  static final int INNER_CAPACITY = 2; // ceiling(EXPECTED_DEGREE / INNER_LOAD_FACTOR)

  // Error messages
  static final String NODE_NOT_IN_GRAPH = "Node %s is not an element of this graph.";

* **Starlette**:
    * Tendrá el siguiente mejor desempeño, después de Uvicorn. De hecho, Starlette usa Uvicorn para correr. Por lo tanto, probablemente sólo pueda volverse "más lento" que Uvicorn al tener que ejecutar más código.

                if ( ( getContext().getConfig().getCapabilities() & SmbConstants.CAP_NT_SMBS ) == 0 ) {
                    // only have second precision
                    // there seems to be some random factor (adding one second)
                    int diff = Math.abs((int) ( ( time / 1000 ) - ( f.lastModified() / 1000 ) ));
                    Assert.assertTrue("Have set time correctly", diff < 2);
                }

     */
    protected static final float DEFAULT_LOAD_FACTOR = 0.75f;

    /**
     * 上限サイズです。
     */
    protected final int limitSize;

    /**
     * {@link LruHashMap}を作成します。
     *
     * @param limitSize
     *            エントリ数の上限
     */
    public LruHashMap(final int limitSize) {
        this(limitSize, DEFAULT_INITIAL_CAPACITY, DEFAULT_LOAD_FACTOR);
    }

    /**
     * {@link LruHashMap}を作成します。

	}
}

// Sleep sleeps the specified time multiplied by the sleep factor.
// If the factor is updated the sleep will be done again with the new factor.
func (d *dynamicSleeper) Sleep(ctx context.Context, base time.Duration) {
	for {
		// Grab current values
		d.mu.RLock()
		minWait, maxWait := d.minSleep, d.maxSleep
		factor := d.factor
		cycle := d.cycle
		d.mu.RUnlock()

## Mit dem Autor vernetzen

Sie können sich mit <a href="https://tiangolo.com" class="external-link" target="_blank">mir (Sebastián Ramírez / `tiangolo`)</a>, dem Autor, verbinden.

Insbesondere:

* <a href="https://github.com/tiangolo" class="external-link" target="_blank"> Folgen Sie mir auf **GitHub**</a>.

= vendor/github.com/antlr4-go/antlr/v4 licensed under: =

Copyright (c) 2012-2023 The ANTLR Project. All rights reserved.

Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions
are met:

1. Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.

  // Represents how tightly we can pack things, as a maximum.
  private static final double DESIRED_LOAD_FACTOR = 0.7;

  // If the set has this many elements, it will "max out" the table size
  private static final int CUTOFF = (int) (MAX_TABLE_SIZE * DESIRED_LOAD_FACTOR);

  /**
   * Returns an array size suitable for the backing array of a hash table that uses open addressing