Unpickling restores a Python object from a pickle representation. Open the binary file in read mode, call pickle.load, and assign its return value to a variable. Comparing the restored value with the original verifies that the data was preserved. section 11.3.2
with open("task_tuple_saved.pickle", "rb") as file:
task_tuple_loaded = pickle.load(file)
with open("task_dict_saved.pickle", "rb") as file:
task_dict_loaded = pickle.load(file)
Load tuple and dictionary data from pickle files using the required rb mode. section 11.3.2
Restoring a custom object
Unpickling can recreate an instance of a custom class. The restored Task has the same attributes as the original, but it is a different object, so equality of __dict__ does not imply identity. section 11.3.2
Keep these practical limitations in mind:
- Keep the custom class definition available when unpickling its instances; otherwise Python may raise an AttributeError. section 11.3.2
- Use pickle when preserving many Python objects, including functions and custom classes, but not modules, file objects, or database connections. section 11.3.3
- Treat pickle data cautiously because loading specially constructed data can provide an opportunity to embed malicious code. section 11.3.3
