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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def fail_pipeline(self, e, dynamic_recover=False):
 """ If the pipeline does not complete, this function will stop the pipeline gracefully. It sets the status flag to failed and skips the normal success completion procedure. :param Exception e: Exception to raise. :param bool dynamic_recover: Whether to recover e.g. for job termination. """

        # Take care of any active running subprocess
        sys.stdout.flush()
        self._terminate_running_subprocesses()

        if dynamic_recover:
            # job was terminated, not failed due to a bad process.
            # flag this run as recoverable.
            if len(self.locks) < 1:
                # If there is no process locked, then recovery will be automatic.
                print("No locked process. Dynamic recovery will be automatic.")
            # make a copy of self.locks to iterate over since we'll be clearing them as we go
            # set a recovery flag for each lock.
            for lock_file in self.locks[:]:
                recover_file = self._recoverfile_from_lockfile(lock_file)
                print("Setting dynamic recover file: {}".format(recover_file))
                self._create_file(recover_file)
                self.locks.remove(lock_file)

        # Produce cleanup script
        self._cleanup(dry_run=True)

        # Finally, set the status to failed and close out with a timestamp
        if not self._failed:  # and not self._completed:
            self.timestamp("### Pipeline failed at: ")
            total_time = datetime.timedelta(seconds=self.time_elapsed(self.starttime))
            print("Total time: " + str(total_time))
            self._set_status_flag(FAIL_FLAG)

        raise e