当我保存一个带有相关联的ExecutionContext的管道，并尝试再次加载它时，会出现下面的错误。

from neuraxle.base import ExecutionContext, Identityfrom neuraxle.pipeline import PipelinePIPELINE_NAME = 'saved_pipeline_name'cache_folder = 'cache_folder'pipeline = Pipeline([    Identity()]).with_context(ExecutionContext(cache_folder))pipeline.set_name(PIPELINE_NAME).save(ExecutionContext(cache_folder), full_dump=True)loaded_pipeline = ExecutionContext(cache_folder).load(PIPELINE_NAME)

错误信息：

Traceback (most recent call last):  File "save_example.py", line 12, in <module>    loaded_pipeline = ExecutionContext(cache_folder).load(PIPELINE_NAME)  File ".env/lib/python3.7/site-packages/neuraxle/base.py", line 555, in load    ).load(context_for_loading, True)  File ".env/lib/python3.7/site-packages/neuraxle/base.py", line 3621, in load    return loaded_self.load(context, full_dump)  File ".env/lib/python3.7/site-packages/neuraxle/base.py", line 1708, in load    return self._load_step(context, savers)  File ".env/lib/python3.7/site-packages/neuraxle/base.py", line 1717, in _load_step    loaded_self = saver.load_step(loaded_self, context)  File ".env/lib/python3.7/site-packages/neuraxle/base.py", line 3644, in load_step    step.apply('_assert_has_services', context=context)  File ".env/lib/python3.7/site-packages/neuraxle/base.py", line 2316, in apply    results: RecursiveDict = self._apply_childrens(results=results, method=method, ra=ra)  File ".env/lib/python3.7/site-packages/neuraxle/base.py", line 2327, in _apply_childrens    for children in self.get_children():  File ".env/lib/python3.7/site-packages/neuraxle/base.py", line 2530, in get_children    return [self.wrapped]AttributeError: 'StepWithContext' object has no attribute 'wrapped'

如果没有with_context(ExecutionContext(cache_folder))，加载过程会正常工作。这是预期的行为，还是一个bug？在使用执行上下文保存管道时，最佳实践是什么？

回答：

在StepWithContext的保存器中有一个错误的函数调用。Neuraxle的主要仓库将在未来一天左右推出一个热修复。如果您可以等到那时，您的代码应该可以无问题地执行。

如果不能，我建议您通过直接在StepWithContext的包装步骤上调用保存来绕过StepWithContext（即您的管道实例）：

pipeline.wrapped.set_name(PIPELINE_NAME).save(ExecutionContext(cache_folder), full_dump=True)loaded_pipeline = ExecutionContext(cache_folder).load(PIPELINE_NAME)

然后，您需要使用.with_context()调用重新包装loaded_pipeline实例。

当热修复可用时，请记住，ExecutionContext实例根本不会被保存，并且在加载时，StepWithContext的上下文属性将被替换为用于加载的任何上下文。

欢迎提出任何其他问题！我很乐意回答它们。

祝好