docstr: Represents a single trial within an experiment.
  
  Args:
      _id (Optional[int]): ID of trial or None.
      experiment (Experiment): Experiment of trial.
      task (Task): Task of trial.
      method (Method): Method of trial.
      replicate_num (int): Replicate number of trial (when a trial is repeated many times).
      meta (dict): Metadata associated with the trial.
      input_assets (List[Asset]): Input assets that are available on trial run.
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code: def __init__(
      self,
      _id: Optional[int],
      experiment: Experiment,
      task: Task,
      method: Method,
      replicate_num: int,
      meta: dict,
      input_assets: List[Asset],
  ):
      """Represents a single trial within an experiment.
  
      Args:
          _id (Optional[int]): ID of trial or None.
          experiment (Experiment): Experiment of trial.
          task (Task): Task of trial.
          method (Method): Method of trial.
          replicate_num (int): Replicate number of trial (when a trial is repeated many times).
          meta (dict): Metadata associated with the trial.
          input_assets (List[Asset]): Input assets that are available on trial run.
      """
      self._id = _id
      self._experiment = experiment
      self._task = task
      self._method = method
      self._replicate_num = replicate_num
      self._meta = meta
      self._input_assets = input_assets
  
imports: import random
  from types import FunctionType
  import pandas
  from typing import Dict, Iterable
  from typing import Type, TypeVar
  from powerlift.bench.store import Store
  from typing import Union, Optional, List
  from dataclasses import dataclass
  from numbers import Number
  from powerlift.executors.base import Executor
  from powerlift.executors import LocalMachine
label_desc: Use image node_id 1 to create a new Trial object  with example: obj = Trial(_id, experiment, task, method, replicate_num, meta, input_assets)