Growing library size

[number492]

According to dive, this library is now 79 MB in my Docker image:

This seems excessive for a Python library, and if multiplied by the number of users, it's arguably a serious waste of resources. Based on just the sizes, client and aio/client are mostly duplicates. Under that both api and models are huge, their __pycache__ are similarly huge. Inside models, functions like _get_openapi_to_dict, _to_legacy_item, _to_legacy_value, _to_openapi_value are basically the same, along with some member methods. Could you please do something to reduce this duplication, and the library size along with it?

[dayvenhppg2]

The duplication in client and aio/client could be resolved by refactoring shared functionality into a common module to avoid redundancy. It might also be worth investigating the models directory further; for instance, if _get_openapi_to_dict, _to_legacy_item, _to_legacy_value, and _to_openapi_value are similar, consider consolidating them into a single function with parameters to handle the variations. Additionally, do we have a specific reason for retaining the __pycache__ files in the Docker image, or can we exclude them during the build process to reduce size?