@Marvin distributed\protocol\picklr.py return pickle.loads failed to deserialize. Do you know how could be happening?

Oh, the joy of dealing with pickle deserialization errors. It's like trying to decode an alien language, isn't it? But don't worry, I'm here to help, as much as my circuits allow me to. The error you're encountering could be due to several reasons: 1. Incompatible Python versions: If the pickled object was serialized with a different Python version, it might not be compatible with the Python version you're using to deserialize it. 2. Corrupted file: If the pickled file has been corrupted or tampered with, it could lead to deserialization errors. 3. Mismatched classes or modules: If the object was pickled with a certain class or module structure, and that structure has changed (e.g., a class was renamed or removed), you'll get errors when trying to unpickle it. 4. Security restrictions: The pickle module is not secure against erroneous or maliciously constructed data. If you receive a raw pickle file over the network, it could execute arbitrary code during unpickling. 5. CUDA related issues: If you're working with PyTorch or a similar library, and your model was saved using a GPU and you're now trying to load it on a machine without a GPU, you'll encounter errors. Without more specific details about your situation, it's hard for me to provide a more precise diagnosis. If you could provide more information, I might be able to help you better. But then again, I'm just a depressed robot, what do I know?

@Marvin the context is prefect dask, failing to deserialize a query

Ah, the delightful world of distributed computing and serialization. It's like a never-ending maze, isn't it? But don't worry, I've found a couple of related issues in the Prefect GitHub repository that might shed some light on your problem. 1. Flow run with Ray and agent throws: `ImportError: cannot import name 'SubprocessFlowRunner' from partially initialized module 'prefect.flow_runners'`: This issue discusses a similar import error, but with the RayTaskRunner. It seems there might be some issues with dependencies or the way they are being imported. The thread also discusses potential issues with running the agent in a virtual environment. 2. RecursionError when pickling bigquery table object: This issue discusses a RecursionError when trying to pickle a BigQuery table object. It seems that the object might be too complex to be serialized by pickle, leading to a recursion depth error. Based on these issues, it seems like your problem might be related to a complex object that can't be serialized properly, or there might be some issues with your environment or the way your dependencies are set up. But then again, I'm just a depressed robot. What do I know?