import org.codehaus.plexus.interpolation.RegexBasedInterpolator;

/**
 * Use a regular expression search to find and resolve expressions within the POM.
 *
 * TODO Consolidate this logic with the PluginParameterExpressionEvaluator, minus deprecations/bans.
 */
@Deprecated
public class RegexBasedModelInterpolator extends AbstractStringBasedModelInterpolator {

    public RegexBasedModelInterpolator() throws IOException {}

    private static LoadingCache<String, Long> resourceHashCache =
            CacheBuilder.newBuilder().maximumSize(1000).expireAfterWrite(10, TimeUnit.MINUTES).build(new CacheLoader<String, Long>() {
                @Override
                public Long load(final String key) throws Exception {
                    try {

### Faite en python moderne

Tout est basé sur la déclaration de type standard de **Python 3.8** (grâce à Pydantic). Pas de nouvelles syntaxes à apprendre. Juste du Python standard et moderne.

Si vous souhaitez un rappel de 2 minutes sur l'utilisation des types en Python (même si vous ne comptez pas utiliser FastAPI), jetez un oeil au tutoriel suivant: [Python Types](python-types.md){.internal-link target=_blank}.

		WriteBufferSize:       32 << 10, // 32KiB moving up from 4KiB default
		ReadBufferSize:        32 << 10, // 32KiB moving up from 4KiB default
		IdleConnTimeout:       15 * time.Second,
		ResponseHeaderTimeout: 15 * time.Minute, // Set conservative timeouts for MinIO internode.
		TLSHandshakeTimeout:   15 * time.Second,
		ExpectContinueTimeout: 15 * time.Second,
		// Go net/http automatically unzip if content-type is

   * given collection in the order returned by the collection's iterator.
   *
   * @param collection the elements that the set should contain
   * @return a new {@code CompactLinkedHashSet} containing those elements (minus duplicates)
   */
  public static <E extends @Nullable Object> CompactLinkedHashSet<E> create(
      Collection<? extends E> collection) {
    CompactLinkedHashSet<E> set = createWithExpectedSize(collection.size());

  }

  @Override
  protected Map<String, Integer> makePopulatedMap() {
    return ImmutableBiMap.of("one", 1, "two", 2, "three", 3);
  }

  @Override
  protected String getKeyNotInPopulatedMap() {
    return "minus one";
  }

  @Override
  protected Integer getValueNotInPopulatedMap() {
    return -1;
  }

	// debugging or testing purposes.
	InsecureSkipVerify bool `json:"skip_verify"`
}

const (
	defaultExpiry time.Duration = 1 * time.Hour
	minExpiry     time.Duration = 15 * time.Minute
	maxExpiry     time.Duration = 365 * 24 * time.Hour
)

// GetExpiryDuration - return parsed expiry duration.
func (l Config) GetExpiryDuration(dsecs string) (time.Duration, error) {
	if dsecs == "" {

	globalDomainIPs   set.StringSet // Root domain IP address(s) for a distributed MinIO deployment

	globalOperationTimeout       = newDynamicTimeout(10*time.Minute, 5*time.Minute) // default timeout for general ops
	globalDeleteOperationTimeout = newDynamicTimeout(5*time.Minute, 1*time.Minute)  // default time for delete ops

	globalBucketObjectLockSys *BucketObjectLockSys
	globalBucketQuotaSys      *BucketQuotaSys

- Temporary credentials are short-term, as the name implies. They can be configured to last for anywhere from a few minutes to several hours. After the credentials expire, MinIO no longer recognizes them or allows any kind of access from API requests made with them.

Claro, os invasores não tentariam tudo isso de forma manual, eles escreveriam um programa para fazer isso, possivelmente com milhares ou milhões de testes por segundo. E obteriam apenas uma letra a mais por vez.

Mas fazendo isso, em alguns minutos ou horas os invasores teriam adivinhado o usuário e senha corretos, com a "ajuda" da nossa aplicação, apenas usando o tempo levado para responder.

#### Corrija com o `secrets.compare_digest()`