### **4.2 WordCount**

WordCount is a simple program that counts how often a word occurs in a text file. The code builds a dataset of (String, Int) pairs called counts, and saves the dataset to a file.

The following example submits WordCount code to the Scala shell. Select an input file for the Spark WordCount example. We can use any text file as input.

  PairedStats(Stats xStats, Stats yStats, double sumOfProductsOfDeltas) {
    this.xStats = xStats;
    this.yStats = yStats;
    this.sumOfProductsOfDeltas = sumOfProductsOfDeltas;
  }

  /** Returns the number of pairs in the dataset. */
  public long count() {
    return xStats.count();
  }

  /** Returns the statistics on the {@code x} values alone. */
  public Stats xStats() {
    return xStats;
  }

```Python
with open("./somefile.txt") as f:
    contents = f.read()
    print(contents)
```

Por baixo dos panos, o código `open("./somefile.txt")` cria um objeto que é chamado de "Gerenciador de Contexto".

Quando o bloco `with` finaliza, ele se certifica de fechar o arquivo, mesmo que tenha ocorrido alguma exceção.

		tx.Statement.Table = ""
	}
	return
}

// Distinct specify distinct fields that you want querying
//
//	// Select distinct names of users
//	db.Distinct("name").Find(&results)
//	// Select distinct name/age pairs from users
//	db.Distinct("name", "age").Find(&results)
func (db *DB) Distinct(args ...interface{}) (tx *DB) {
	tx = db.getInstance()
	tx.Statement.Distinct = true
	if len(args) > 0 {
		tx = tx.Select(args[0], args[1:]...)

   *        0 +----------+-------+--------------→ storedPermits
   *          0 thresholdPermits maxPermits
   * </pre>
   *
   * Before going into the details of this particular function, let's keep in mind the basics:
   *
   * <ol>
   *   <li>The state of the RateLimiter (storedPermits) is a vertical line in this figure.
   *   <li>When the RateLimiter is not used, this goes right (up to maxPermits)

   *     smallest possible to fit {@code tableSize}; or an {@code Object[]} where [0] is one of
   *     these; [1] indicates how many element pairs in {@code alternatingKeysAndValues} are valid;
   *     and [2] is a {@link Builder.DuplicateKey} for the first duplicate key encountered.
   */
  private static @Nullable Object createHashTable(

  }

  @LazyInit @RetainedWith private transient @Nullable ImmutableListMultimap<V, K> inverse;

  /**
   * {@inheritDoc}
   *
   * <p>Because an inverse of a list multimap can contain multiple pairs with the same key and
   * value, this method returns an {@code ImmutableListMultimap} rather than the {@code
   * ImmutableMultimap} specified in the {@code ImmutableMultimap} class.
   *
   * @since 11.0
   */

 * whose edges are anonymous entities with no identity or information of their own.
 *
 * <p>A graph is composed of a set of nodes and a set of edges connecting pairs of nodes.
 *
 * <p>There are three primary interfaces provided to represent graphs. In order of increasing
 * complexity they are: {@link Graph}, {@link ValueGraph}, and {@link Network}. You should generally

        }
    }

    /**
     * Retrieves the tags for a storage object from the storage system.
     *
     * @param objectName the name of the object to get tags for
     * @return map of tag key-value pairs
     * @throws StorageException if retrieving tags fails
     */
    public static Map<String, String> getObjectTags(final String objectName) {
        try (StorageClient client = StorageClientFactory.createClient()) {

 * href="https://en.wikipedia.org/wiki/Graph_(discrete_mathematics)">graph</a>-structured data,
 * whose edges have associated non-unique values.
 *
 * <p>A graph is composed of a set of nodes and a set of edges connecting pairs of nodes.
 *
 * <p>There are three primary interfaces provided to represent graphs. In order of increasing
 * complexity they are: {@link Graph}, {@link ValueGraph}, and {@link Network}. You should generally