* a  b  c    f
   * }</pre>
   */
  private static final SuccessorsFunction<Character> TREE =
      createDirectedGraph("hd", "he", "hg", "da", "db", "dc", "gf");

  /**
   * Two disjoint tree-shaped graphs that look as follows (all edges are directed facing downwards):
   *
   * <pre>{@code
   * a   c
   * |   |
   * |   |
   * b   d
   * }</pre>
   */

   * a  b  c    f
   * }</pre>
   */
  private static final SuccessorsFunction<Character> TREE =
      createDirectedGraph("hd", "he", "hg", "da", "db", "dc", "gf");

  /**
   * Two disjoint tree-shaped graphs that look as follows (all edges are directed facing downwards):
   *
   * <pre>{@code
   * a   c
   * |   |
   * |   |
   * b   d
   * }</pre>
   */

### Reiniciar após falha

Mas nos casos com erros realmente graves que travam o **processo** em execução, você vai querer um componente externo que seja responsável por **reiniciar** o processo, pelo menos algumas vezes...

/// tip | "Dica"

 * cache instances created by {@code CacheBuilder} will not perform any type of eviction.
 *
 * <p>Usage example:
 *
 * <pre>{@code
 * LoadingCache<Key, Graph> graphs = CacheBuilder.newBuilder()
 *     .maximumSize(10000)
 *     .expireAfterWrite(Duration.ofMinutes(10))
 *     .removalListener(MY_LISTENER)
 *     .build(
 *         new CacheLoader<Key, Graph>() {

   * <a href="https://en.wikipedia.org/wiki/RDF/XML">RDF/XML</a> documents, which are XML
   * serializations of <a
   * href="https://en.wikipedia.org/wiki/Resource_Description_Framework">Resource Description
   * Framework</a> graphs.
   *
   * @since 14.0
   */
  public static final MediaType RDF_XML_UTF_8 = createConstantUtf8(APPLICATION_TYPE, "rdf+xml");

  public static final MediaType RTF_UTF_8 = createConstantUtf8(APPLICATION_TYPE, "rtf");

ACNw1B,EAAWA,EAASv9B,QAAS06B,GAAY,MACzCmD,GAAa/E,GAAO13B,KAAMm8B,GAAa,IAAM,KAAQ,KAAS/hC,GAAMmG,OACnEk8B,GAIF1D,EAAEgC,IAAMoB,EAAWM,GASf1D,EAAE8E,aACDriC,GAAOq/B,aAAcsB,IACzBhC,EAAMgD,iBAAkB,oBAAqB3hC,GAAOq/B,aAAcsB,IAE9D3gC,GAAOs/B,KAAMqB,IACjBhC,EAAMgD,iBAAkB,gBAAiB3hC,GAAOs/B,KAAMqB,MAKnDpD,EAAElf,MAAQkf,EAAE6E,aAAgC,IAAlB7E,EAAEqC,aAAyBr9B,EAAQq9B,cACjEjB,EAAMgD,iBAAkB,eAAgBpE,EAAEqC,aAI3CjB,EAAMgD,iBACL,SACApE,EAAEkB,UAAW,IAAOlB,EAAEsC,QAAStC,EAAEkB,UAAW,IAC3ClB,EAAEsC,QAAStC,EAAEkB,UAAW,KAC...

            }
        }
    ]
}`

	policyProjectsMap = map[string]string{
		// grants access to bucket `projecta` if user is in group `projecta`
		"projecta": policyProjectA,

		// grants access to bucket `projectb` if user is in group `projectb`
		"projectb": policyProjectB,

		// grants access to bucket `projectaorb` if user is in either group
		// `projecta` or `projectb`

        the input had a fully static shape or not. Now these ops always return
        symbolic values.
    *   Code already susceptible to leaking tensors outside of graphs becomes
        slightly more likely to do so now.
    *   Code that tries directly getting gradients with respect to symbolic
        Keras inputs/outputs. Use `GradientTape` on the actual Tensors passed to

"houvera", "houvéramos", "haja", "hajamos", "hajam", "houvesse", "houvéssemos", "houvessem", "houver", "houvermos", "houverem", "houverei", "houverá", "houveremos", "houverão", "houveria", "houveríamos", "houveriam", "sou", "somos", "são", "era", "éramos", "eram", "fui", "foi", "fomos", "foram", "fora", "fôramos", "seja", "sejamos", "sejam", "fosse", "fôssemos", "fossem", "for", "formos", "forem", "serei", "será", "seremos", "serão", "seria", "seríamos", "seriam", "tenho", "tem", "temos", "tém", "tinha",...

"houvera", "houvéramos", "haja", "hajamos", "hajam", "houvesse", "houvéssemos", "houvessem", "houver", "houvermos", "houverem", "houverei", "houverá", "houveremos", "houverão", "houveria", "houveríamos", "houveriam", "sou", "somos", "são", "era", "éramos", "eram", "fui", "foi", "fomos", "foram", "fora", "fôramos", "seja", "sejamos", "sejam", "fosse", "fôssemos", "fossem", "for", "formos", "forem", "serei", "será", "seremos", "serão", "seria", "seríamos", "seriam", "tenho", "tem", "temos", "tém", "tinha",...