storage:   s,
		destroyFn: func() {},
		baseKey:   base,
		leaseTime: 1 * time.Minute, // avoid the lease to timeout on tests
	}}
}

func (f *peerEndpointLeaseReconciler) SetKeys(servers []serverInfo) error {
	for _, server := range servers {
		if err := f.UpdateLease(server.id, server.existingIP, server.ports); err != nil {
			return err
		}
	}
	return nil
}

        LoginContext lc = new LoginContext(loginContextName);
        lc.login();
        this.subject = lc.getSubject();
    }


    public KerberosKey[] getKeys () {
        List<Key> serverKeys = new ArrayList<>();

        Set<Object> serverPrivateCredentials = this.subject.getPrivateCredentials();
        for ( Object credential : serverPrivateCredentials )

    if (hashtable_op == nullptr) return failure();
    rewriter.replaceOpWithNewOp<TFL::HashtableFindOp>(
        find_op, find_op->getResultTypes(), find_op.getTableHandle(),
        find_op.getKeys(), find_op.getDefaultValue());
    return success();
  }
};

class LegalizeHashTableImportOpPattern
    : public OpRewritePattern<TF::LookupTableImportV2Op> {
 public:

                byte[] crypt = encOctets.getOctets();

                if ( keys == null ) {
                    try {
                        keys = new KerberosCredentials().getKeys();
                    }
                    catch ( LoginException e ) {
                        throw new PACDecodingException("Login failure", e);
                    }
                }

        assertArgumentNotNull("bundle", bundle);

        final Map<String, String> ret = newHashMap();
        for (final Enumeration<String> e = bundle.getKeys(); e.hasMoreElements();) {
            final String key = e.nextElement();
            final String value = bundle.getString(key);
            ret.put(key, value);
        }
        return ret;
    }

  constexpr int64_t kLookupTableFindStringKeyCostScale = 16;

  auto value_type = mlir::cast<mlir::TensorType>(op.getValues().getType());
  auto key_type = mlir::cast<mlir::TensorType>(op.getKeys().getType());

  int64_t output_size = InferTensorSize(context, value_type);

  int64_t cost = kLookupTableFindCostScale * output_size;

  if (mlir::isa<mlir::TF::StringType>(key_type.getElementType()))