// TODO(b/172003047): Consider making AbstractOperation RefCounted.
  // parent_op->Unref();
}
Status TapeOperation::Reset(const char* op, const char* raw_device_name) {
  forward_op_.op_name = op;
  forward_op_.attrs.Reset(op);
  forward_op_.inputs.clear();
  forward_op_.outputs.clear();
  return parent_op_->Reset(op, raw_device_name);
}
const string& TapeOperation::Name() const { return parent_op_->Name(); }

    counter.mark(5);
    counter.read();
    assertEquals(11, counter.getCount());
    counter.reset();
    assertEquals(10, counter.getCount());
    assertEquals(10, counter.skip(100));
    assertEquals(20, counter.getCount());
  }

  public void testMarkNotSet() {
    IOException expected = assertThrows(IOException.class, () -> counter.reset());
    assertThat(expected).hasMessageThat().isEqualTo("Mark not set");
  }

	for {
		select {
		case <-ctx.Done():
			return
		case <-licenseUpdateTimer.C:

			if globalSubnetConfig.Registered() {
				performLicenseUpdate(ctx, objAPI)
			}

			// Reset the timer for next cycle.
			licenseUpdateTimer.Reset(licUpdateCycle)
		}
	}
}

func performLicenseUpdate(ctx context.Context, objectAPI ObjectLayer) {
	// the subnet license renewal api renews the license only

  @Override
  public void mark(int readlimit) {}

  /**
   * reset() is not supported for HashingInputStream.
   *
   * @throws IOException this operation is not supported
   */
  @Override
  public void reset() throws IOException {
    throw new IOException("reset not supported");
  }

  /**

	if buf.Len() > m {
		t.Log("WARNING: TestEncodeDecoderebalanceInfo Msgsize() is inaccurate")
	}

	vn := rebalanceInfo{}
	err := msgp.Decode(&buf, &vn)
	if err != nil {
		t.Error(err)
	}

	buf.Reset()
	msgp.Encode(&buf, &v)
	err = msgp.NewReader(&buf).Skip()
	if err != nil {
		t.Error(err)
	}
}

func BenchmarkEncoderebalanceInfo(b *testing.B) {
	v := rebalanceInfo{}
	var buf bytes.Buffer

  // Assign to the variable, copying to the custom device.
  std::unique_ptr<TFE_TensorHandle, decltype(&TFE_DeleteTensorHandle)> one(
      TestScalarTensorHandle(context.get(), 111.f), TFE_DeleteTensorHandle);
  op.reset(TFE_NewOp(context.get(), "AssignVariableOp", status.get()));
  TFE_OpSetAttrType(op.get(), "dtype", TF_FLOAT);
  TFE_OpAddInput(op.get(), var_handle, status.get());
  TFE_OpAddInput(op.get(), one.get(), status.get());

So, you would reset it with:

```Python hl_lines="3-4"
async def reset_db_state():
    database.db.obj._state._state.set(db_state_default.copy())
    database.db.obj._state.reset()
```

### Create your **FastAPI** *path operations*

Now, finally, here's the standard **FastAPI** *path operations* code.

	m := v.Msgsize()
	if buf.Len() > m {
		t.Log("WARNING: TestEncodeDecodejentry Msgsize() is inaccurate")
	}

	vn := jentry{}
	err := msgp.Decode(&buf, &vn)
	if err != nil {
		t.Error(err)
	}

	buf.Reset()
	msgp.Encode(&buf, &v)
	err = msgp.NewReader(&buf).Skip()
	if err != nil {
		t.Error(err)
	}
}

func BenchmarkEncodejentry(b *testing.B) {
	v := jentry{}
	var buf bytes.Buffer
	msgp.Encode(&buf, &v)

	m := v.Msgsize()
	if buf.Len() > m {
		t.Log("WARNING: TestEncodeDecodeLockArgs Msgsize() is inaccurate")
	}

	vn := LockArgs{}
	err := msgp.Decode(&buf, &vn)
	if err != nil {
		t.Error(err)
	}

	buf.Reset()
	msgp.Encode(&buf, &v)
	err = msgp.NewReader(&buf).Skip()
	if err != nil {
		t.Error(err)
	}
}

func BenchmarkEncodeLockArgs(b *testing.B) {
	v := LockArgs{}
	var buf bytes.Buffer

func (r *Record) Set(name string, value *sql.Value) (sql.Record, error) {
	r.columnNames = append(r.columnNames, name)
	r.csvRecord = append(r.csvRecord, value.CSVString())
	return r, nil
}

// Reset data in record.
func (r *Record) Reset() {
	if len(r.columnNames) > 0 {
		r.columnNames = r.columnNames[:0]
	}
	if len(r.csvRecord) > 0 {
		r.csvRecord = r.csvRecord[:0]
	}
	for k := range r.nameIndexMap {