# GraphQL

Como **FastAPI** está basado en el estándar **ASGI**, es muy fácil integrar cualquier library **GraphQL** que sea compatible con ASGI.

Puedes combinar *operaciones de path* regulares de la library de FastAPI con GraphQL en la misma aplicación.

/// tip | Consejo

**GraphQL** resuelve algunos casos de uso específicos.

Tiene **ventajas** y **desventajas** cuando lo comparas con **APIs web** comunes.

			if istiodReset && outputLogLevel != "" {
				logCmd.Println(logCmd.UsageString())
				return fmt.Errorf("--level cannot be combined with --reset")
			}
			if istiodReset && stackTraceLevel != "" {
				logCmd.Println(logCmd.UsageString())
				return fmt.Errorf("--stack-trace-level cannot be combined with --reset")
			}
			return nil
		},
		RunE: func(logCmd *cobra.Command, args []string) error {

            }
        }

        return dr;
    }


    /**
     * {@inheritDoc}
     *
     * @see jcifs.internal.dfs.DfsReferralDataInternal#combine(jcifs.DfsReferralData)
     */
    @Override
    public DfsReferralDataInternal combine ( DfsReferralData n ) {
        DfsReferralDataImpl dr = new DfsReferralDataImpl();
        dr.server = n.getServer();
        dr.share = n.getShare();

		return err
	}
	for k, v := range ret {
		if !strings.EqualFold(k, "authorization") {
			if _, ok := dst[k]; ok {
				return fmt.Errorf("underlying %s credentials contain a %s header which is already present in the combined credentials", kind, k)
			}
			dst[k] = v
		} else {
			dst[dstHdr] = v
		}
	}
	return nil
}

type hubMembership struct {
	WorkloadIdentityPool string
}

        && this.funnel.equals(that.funnel);
  }

  /**
   * Combines this Bloom filter with another Bloom filter by performing a bitwise OR of the
   * underlying data. The mutations happen to <b>this</b> instance. Callers must ensure the Bloom
   * filters are appropriately sized to avoid saturating them.
   *
   * @param that The Bloom filter to combine this Bloom filter with. It is not mutated.

   */
  // TODO(user): Evaluate whether it makes sense to always piggyback the computation of a
  // HashCode on an existing OutputStream, compared to creating a separate OutputStream that could
  // be (optionally) be combined with another if needed (with something like
  // MultiplexingOutputStream).
  public HashingOutputStream(HashFunction hashFunction, OutputStream out) {
    super(checkNotNull(out));

   */
  @SafeVarargs
  public static <T extends @Nullable Object> Iterable<T> cycle(T... elements) {
    return cycle(Lists.newArrayList(elements));
  }

  /**
   * Combines two iterables into a single iterable. The returned iterable has an iterator that
   * traverses the elements in {@code a}, followed by the elements in {@code b}. The source
   * iterators are not polled until necessary.
   *

// along with this program.  If not, see <http://www.gnu.org/licenses/>.

package replication

import (
	"encoding/xml"
)

// And - a tag to combine a prefix and multiple tags for replication configuration rule.
type And struct {
	XMLName xml.Name `xml:"And" json:"And"`
	Prefix  string   `xml:"Prefix,omitempty" json:"Prefix,omitempty"`

  val survey = CipherSuiteSurvey(clients = clients, ianaSuites = ianaSuitesNew, orderBy = orderBy)

  survey.printGoogleSheet()
}

fun rest(clients: List<Client>): List<SuiteId> {
  // combine all ciphers to get these near the top
  return clients.flatMap { it.enabled }

# GraphQL

As **FastAPI** is based on the **ASGI** standard, it's very easy to integrate any **GraphQL** library also compatible with ASGI.

You can combine normal FastAPI *path operations* with GraphQL on the same application.

/// tip

**GraphQL** solves some very specific use cases.

It has **advantages** and **disadvantages** when compared to common **web APIs**.