simuhw.memory.model package
Module contents
- class simuhw.memory.model.MemorizingModel
Bases:
objectThe super class for all memorizing models.
- abstractmethod reset() None
Resets the states.
- class simuhw.memory.model.MockMemorizingModel(word_func: Callable[[bytes | type[Unknown | HighZ]], bytes | type[Unknown | HighZ]] | None = None)
Bases:
MemorizingModelA mock memorizing model.
This model does not memorize any input words, and always outputs the same words at respective addresses. It is intended to be used for experiments and tests.
- __init__(word_func: Callable[[bytes | type[Unknown | HighZ]], bytes | type[Unknown | HighZ]] | None = None) None
Creates a mock memorizing model.
- Parameters:
word_func – The function to return a mock word according to a given address.
- reset() None
Resets the states.
- class simuhw.memory.model.RealMemorizingModel(init_word: bytes | type[Unknown | HighZ] = <class 'simuhw._type.Unknown'>)
Bases:
MemorizingModelA memorizing model retaining actual data.
- __init__(init_word: bytes | type[Unknown | HighZ] = <class 'simuhw._type.Unknown'>) None
Creates a memorizing model retaining actual data.
- Parameters:
init_word – The initial word retained in all addresses.
- reset() None
Resets the states.