Background: I am working on a Python project where, given a set of input files (text/image/audio), it generates an executable game. The text files are there to describe the rules of the game.
Currently, the program reads and parses the files upon each startup, and builds a Python class that contains these rules, as well as links to image/audio files. This is fine for now, but I don’t want the end executable to have to bundle these files and re-parse them each time it gets run.
My question: Is there a way to persist the instance of my class to disk, as it exists in memory? Kind of like a snapshot of the object. Since this is a Python project, my question is specific to Python. But, I’d be curious if this concept exists anywhere else. I’ve never heard of it.
My aim is not to serialize/de-serialize the class to a text file, but instead load the 1’s and 0’s that existed before into an instance of a class.
No matter how you persist data you will need to re-parse it. The question is really just if the new format is more efficient to read than the old format. Some formats such as FlatBuffers and Cap'n Proto are designed to have very efficient loading processes.
(Well technically you could persist the process image to disk, but this tends to be much larger than serialized data would be and has issues such as defeating ASLR. This is very rarely done.)
Lots of people are talking about Pickle. But it isn’t particularly fast. That being side with Python you can’t expect much to start with.