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One approach is to pass this config as a variable to every class it is required, which I dont prefer. Another option is to annotate the config class as singleton and create the config object at every place where I need them. I also came across this library called Dependency_Injector. https://python-dependency-injector.ets-labs.org/ This seems a bit heavy weight for my use case though. I am looking forward to know how other solve this problem
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you can take a look at https://github.com/reiase/hyperparameter, a scoped, thread-safe config object that is lightweight enough. There is no need to modify too much code:
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towhee
Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.
The package now is part of towhee, you can use the latest version of hyper parameter by python from towhee import param_scope()
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