View all cloudpickle analysis

How to use the cloudpickle.cloudpickle.loads function in cloudpickle

To help you get started, we’ve selected a few cloudpickle examples, based on popular ways it is used in public projects.

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episodeyang / ml_logger / ml_logger / ml_logger / serdes.py View on Github

def deserialize(code):
    data = cloudpickle.loads(base64.b64decode(code))
    return data

scientifichackers / zproc / zproc / serializer.py View on Github

def loads_fn(fn_bytes: bytes) -> Callable:
    fn_bytes_hash = hash(fn_bytes)
    try:
        fn = _fn_load_cache[fn_bytes_hash]
    except KeyError:
        fn = cloudpickle.loads(fn_bytes)
        _fn_load_cache[fn_bytes_hash] = fn
    return fn