* Add support for adding/removing finalizer depending on PVC protection feature gate ([#61370](https://github.com/kubernetes/kubernetes/pull/61370), [@gnufied](https://github.com/gnufied))

## Prerequisites

- It is assumed you have users created and configured with relevant access policies, to start with
  use basic "readwrite" canned policy to test all the operations before you finalize on what level
  of restrictions are needed for a user.

- No "admin:*" operations are needed for FTP/SFTP access to the bucket(s) and object(s), so you may
  skip them for restrictions.

## Usage

O benefício de lançar uma exceção em vez de retornar um valor ficará mais evidente na seção sobre Dependências e Segurança.

///

### `startup` e `shutdown` juntos

Há uma grande chance que a lógica para sua *inicialização* e *encerramento* esteja conectada, você pode querer iniciar alguma coisa e então finalizá-la, adquirir um recurso e então liberá-lo, etc.

Fazendo isso em funções separadas que não compartilham lógica ou variáveis entre elas é mais difícil já que você precisa armazenar os valores em variáveis globais ou truques parecidos.

* In case StorageObjectInUse feature is disabled and Persistent Volume (PV) or Persistent Volume Claim (PVC) contains a finalizer and the PV or PVC is deleted it is not automatically removed from the system. Now, it is automatically removed. ([#62938](https://github.com/kubernetes/kubernetes/pull/62938), [@pospispa](https://github.com/pospispa))

- Fixes a bug where Services using finalizers may hold onto ClusterIP and/or NodePort allocated resources for longer than expected if the finalizer is removed using the status subresource ([#120656](https://github.com/kubernetes/kubernetes/pull/120656), [@aojea](https://github.com/aojea)) [SIG Network and Testing]

          "Unable to cast input to GraphTensor");
    }
    inputs_.push_back(t->output_);
    *output = tensorflow::down_cast<TracingTensorHandle*>(outputs[0]);
    return absl::OkStatus();
  }

  absl::Status Finalize(OutputList* outputs, AbstractFunction** f) override {
    std::vector<TF_Output> graph_outputs;
    graph_outputs.reserve(outputs->outputs.size());
    for (auto* abstract_output : outputs->outputs) {

    // Extract the resulting tensor.
    add_output2 = TF_OutputListGet(add_outputs, 0);
    TF_DeleteOutputList(add_outputs);
  }

  TF_DeleteAbstractTensor(arg0);
  TF_DeleteAbstractTensor(arg1);

  // Finalize the function by providing the returned values.
  TF_AbstractFunction* func;
  {
    // We want to return the output of both add operations, create a new list
    // and populate it.

//
// Does not use the operation's definition to determine how many inputs should
// be attached. It is intended for use with TFE_OpGetFlatInput to inspect an
// already-finalized operation.
//
// Note that TFE_OpGetFlatInputCount and TFE_OpGetFlatInput operate on a flat
// sequence of inputs, unlike TFE_OpGetInputLength (for getting the length of a

                }
            }
        }

        return this;
    }


    /**
     * {@inheritDoc}
     *
     * @see java.lang.Object#finalize()
     */
    @Override
    protected void finalize () throws Throwable {
        if ( isConnected() && this.usageCount.get() != 0 ) {
            log.warn("Session was not properly released");
        }
    }


    /**