int num_handles, TF_Status* status,
                                          void* device_info) {
  TF_SetStatus(status, TF_UNIMPLEMENTED,
               "This custom device does not support packing tensors.");
  return nullptr;
}
}  // namespace

extern "C" {

bool TFE_IsCustomDevice(TFE_Context* ctx, const char* device_name) {

    /** The key of the message: Scheme */
    public static final String LABELS_PROTOCOL_SCHEME = "{labels.protocolScheme}";

    /** The key of the message: Purge By Bots */
    public static final String LABELS_PURGE_BY_BOTS = "{labels.purgeByBots}";

    /** The key of the message: Log Level */
    public static final String LABELS_LOG_LEVEL = "{labels.logLevel}";

          sortedElements[uniques] = sortedElements[i];
          uniques++;
        }
      }
      Arrays.fill(sortedElements, uniques, length, null);
      if (maybeExpand && uniques * 4 > length * 3) {
        // lots of nonduplicated elements, expand the array by 50%
        sortedElements =
            Arrays.copyOf(sortedElements, IntMath.saturatedAdd(length, length / 2 + 1));
      }

    /**
     * Collects the transitive dependencies of some artifacts and builds a dependency graph. Note that this operation is
     * only concerned about determining the coordinates of the transitive dependencies and does not actually resolve the
     * artifact files.
     * <p>
     * Shortcut for {@code getService(DependencyResolver.class).resolve(...)}
     *
     * @param dependency dependency for which to get transitive dependencies

	}

	if nonActionableMetaErrs > 0 || nonActionablePartsErrs > 0 {
		return validMeta, false
	}

	if validMeta.Deleted {
		// notFoundPartsErrs is ignored since
		// - delete marker does not have any parts
		dataBlocks := (len(errs) + 1) / 2
		return validMeta, notFoundMetaErrs > dataBlocks
	}

	// TODO: It is possible to replay the object via just single

En el caso de que desees usar `async` / `await` sin FastAPI, <a href="https://docs.python.org/3/library/asyncio-task.html#coroutine" class="external-link" target="_blank">revisa la documentación oficial de Python</a>.

### Otras formas de código asíncrono

				err = ErrChecksum
			}
		}
	}
	r.err = err
	return
}

func (r *checksumReader) Close() error { return r.rc.Close() }

// findBodyOffset does the minimum work to verify the file has a header
// and returns the file body offset.
func (f *File) findBodyOffset() (int64, error) {
	var buf [fileHeaderLen]byte

					p.errorf("invalid addressing modes for third operand to %s instruction, must be register", op)
					return
				}
				prog.RegTo2 = a[2].Reg
			case arch.IsARM64TBL(op):
				// one of its inputs does not fit into prog.Reg.
				prog.From = a[0]
				prog.AddRestSource(a[1])
				prog.To = a[2]
			case arch.IsARM64CASP(op):
				prog.From = a[0]
				prog.To = a[1]

///

## Utilisés par **FastAPI**

### <a href="https://docs.pydantic.dev/" class="external-link" target="_blank">Pydantic</a>

///

## Verwendet von **FastAPI**

### <a href="https://pydantic-docs.helpmanual.io/" class="external-link" target="_blank">Pydantic</a>

Pydantic ist eine Bibliothek zum Definieren von Datenvalidierung, Serialisierung und Dokumentation (unter Verwendung von JSON Schema) basierend auf Python-Typhinweisen.