class_docstr: Lineage node
  
  The lineage node is based on :py:class:`orion.core.utils.tree.TreeNode`. It provides
  additional methods to help represent lineages for PBT, in particular, ``fork``,
  ``set_jump``, ``get_true_ancestor`` and ``get_best_trial``.
  
  A lineage node can be connected to a parent and children, like a typical TreeNode, but
  also to ``jumps`` and a ``base``. The jumps and base represent the connection between nodes
  when PBT drops a trial and rather fork another one. In such case, the dropped trial
  will refer to the new trial (the forked one) with ``jumps`` (it can refer to many if
  the new trials crashed and required rollback) and the forked trial will refer to the
  dropped one with ``base`` (it can only refer one).
  
  Parameters
  ----------
  trial: ``orion.core.worker.trial.Trial``
      The trial to represent with the lineage node.
  parent: LineageNode, optional
      The parent node for this lineage node. Default: None, that is, no parent.
docstr: New trials generated from forks when dropping this node.
docstr_tok: ["New","trials","generated","from","forks","when","dropping","this","node","."]
code: def jumps(self) -> list[LineageNode]:
      """New trials generated from forks when dropping this node."""
      return [node.item for node in self._jump.children]
  
imports: from __future__ import annotations
  import copy
  import logging
  import time
  from typing import Any, ClassVar, Iterable, Sequence
  import numpy
  from orion.algo.base import BaseAlgorithm
  from orion.algo.pbt.exploit import exploit_factory
  from orion.algo.pbt.explore import explore_factory
  from orion.algo.random import Random
  from orion.algo.space import Fidelity, Space
  from orion.core.utils.flatten import flatten
  from orion.core.utils.tree import TreeNode
  from orion.core.worker.transformer import TransformedDimension
  from orion.core.worker.trial import Trial
label_desc: Use image node_id 3 for calling the LineageNode obj's underlying member method code with example usage: obj.jumps() and returns: unknown