* **Intuitivo**: Grande supporto per gli editor di testo con <abbr title="anche conosciuto come auto-completamento, autocompletion, IntelliSense">autocompletamento</abbr> in ogni dove. In questo modo si può dedicare meno tempo al debugging.
* **Facile**: Progettato per essere facile da usare e imparare. Si riduce il tempo da dedicare alla lettura della documentazione.

"tue", "suo", "sua", "suoi", "sue", "nostro", "nostra", "nostri", "nostre", "vostro", "vostra", "vostri", "vostre", "mi", "ti", "ci", "vi", "lo", "la", "li", "le", "gli", "ne", "il", "un", "uno", "una", "ma", "ed", "se", "perché", "anche", "come", "dov", "dove", "che", "chi", "cui", "non", "più", "quale", "quanto", "quanti", "quanta", "quante", "quello", "quelli", "quella", "quelle", "questo", "questi", "questa", "queste", "si", "tutto", "tutti", "a", "c", "e", "i", "l", "o", "ho", "hai", "ha", "abbiamo",...

	if res.ttl != noEvictionTTL {
		go func(done <-chan struct{}) {
			ticker := time.NewTicker(res.ttl / numBuckets)
			defer ticker.Stop()
			for {
				select {
				case <-done:
					return
				case <-ticker.C:
					res.deleteExpired()
				}
			}
		}(res.done)
	}
	return &res
}

// Purge clears the cache completely.

# hash string like Java String::hashCode
hash_string() {
  str="${1:-}" h=0
  while [ -n "$str" ]; do
    char="${str%"${str#?}"}"
    h=$(((h * 31 + $(LC_CTYPE=C printf %d "'$char")) % 4294967296))
    str="${str#?}"
  done
  printf %x\\n $h
}

verbose() { :; }
[ "${MVNW_VERBOSE-}" != true ] || verbose() { printf %s\\n "${1-}"; }

die() {
  printf %s\\n "$1" >&2
  exit 1
}

trim() {
  # MWRAPPER-139:

  export TFCI_BUILD_PIP_PACKAGE_ADDITIONAL_WHEEL_NAMES="$(echo $TFCI_BUILD_PIP_PACKAGE_ADDITIONAL_WHEEL_NAMES | sed 's/tensorflow/tf_nightly/g')"
fi

# TODO(b/361369076) Remove the following block after TF NumPy 1 is dropped
# Move hermetic requirement lock files for NumPy 1 to the root
if [[ "$TFCI_WHL_NUMPY_VERSION" == 1 ]]; then
  cp ./ci/official/requirements_updater/numpy1_requirements/*.txt .
fi

                    if (i1.hasNext()) {
                        res1 = i1.next();
                    } else {
                        done = true;
                    }
                }
            } else {
                // move on to next in r2
                if (i2.hasNext()) {
                    res2 = i2.next();
                } else {
                    done = true;

        }

        @Override
        protected boolean isDone() {
            return this.done;
        }

        @Override
        protected boolean fetchMore() throws CIFSException {
            if (throwOnFetch)
                throw new CIFSException("fetchMore fail");
            // Move to next page if available
            if (staticPages != null && pageIdx + 1 < staticPages.size()) {

///

## Retorne o token

A resposta do endpoint `token` deve ser um objeto JSON.

Deve ter um `token_type`. No nosso caso, como estamos usando tokens "Bearer", o tipo de token deve ser "`bearer`".

E deve ter um `access_token`, com uma string contendo nosso token de acesso.

 * entire "chunk" (of implementation-dependent length) is ready to be hashed.
 *
 * @author Kevin Bourrillion
 * @author Dimitris Andreou
 */
// TODO(kevinb): this class still needs some design-and-document-for-inheritance love
abstract class AbstractStreamingHasher extends AbstractHasher {
  /** Buffer via which we pass data to the hash algorithm (the implementor) */
  private final ByteBuffer buffer;

O importante a se lembrar é que a chave `sub` deve ter um identificador único em toda a aplicação e deve ser uma string.

## Testando

Execute o servidor e vá para a documentação: <a href="http://127.0.0.1:8000/docs" class="external-link" target="_blank">http://127.0.0.1:8000/docs</a>.