<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
 def _finish_task_processing(self, queue, task, success):
 """ After a task is executed, this method is called and ensures that the task gets properly removed from the ACTIVE queue and, in case of an error, retried or marked as failed. """

        log = self.log.bind(queue=queue, task_id=task.id)

        def _mark_done():
            # Remove the task from active queue
            task._move(from_state=ACTIVE)
            log.info('done')

        if success:
            _mark_done()
        else:
            should_retry = False
            should_log_error = True
            # Get execution info (for logging and retry purposes)
            execution = self.connection.lindex(
                self._key('task', task.id, 'executions'), -1)

            if execution:
                execution = json.loads(execution)

            if execution and execution.get('retry'):
                if 'retry_method' in execution:
                    retry_func, retry_args = execution['retry_method']
                else:
                    # We expect the serialized method here.
                    retry_func, retry_args = serialize_retry_method( \
                            self.config['DEFAULT_RETRY_METHOD'])
                should_log_error = execution['log_error']
                should_retry = True

            if task.retry_method and not should_retry:
                retry_func, retry_args = task.retry_method
                if task.retry_on:
                    if execution:
                        exception_name = execution.get('exception_name')
                        try:
                            exception_class = import_attribute(exception_name)
                        except TaskImportError:
                            log.error('could not import exception',
                                      exception_name=exception_name)
                        else:
                            if task.should_retry_on(exception_class, logger=log):
                                should_retry = True
                else:
                    should_retry = True

            state = ERROR

            when = time.time()

            log_context = {
                'func': task.serialized_func
            }

            if should_retry:
                retry_num = task.n_executions()
                log_context['retry_func'] = retry_func
                log_context['retry_num'] = retry_num

                try:
                    func = import_attribute(retry_func)
                except TaskImportError:
                    log.error('could not import retry function',
                              func=retry_func)
                else:
                    try:
                        retry_delay = func(retry_num, *retry_args)
                        log_context['retry_delay'] = retry_delay
                        when += retry_delay
                    except StopRetry:
                        pass
                    else:
                        state = SCHEDULED

            if execution:
                if state == ERROR and should_log_error:
                    log_func = log.error
                else:
                    log_func = log.warning

                log_context.update({
                    'time_failed': execution.get('time_failed'),
                    'traceback': execution.get('traceback'),
                    'exception_name': execution.get('exception_name'),
                })

                log_func('task error', **log_context)
            else:
                log.error('execution not found', **log_context)

            # Move task to the scheduled queue for retry, or move to error
            # queue if we don't want to retry.
            if state == ERROR and not should_log_error:
                _mark_done()
            else:
                task._move(from_state=ACTIVE, to_state=state, when=when)