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Title:
Improve `__setattr__` performance of Pydantic models by caching setter functions by MarkusSintonen ยท Pull Request #10868 ยท pydantic/pydantic ยท GitHub
Description:
Change Summary Attribute setting has been pretty slow for BaseModel due to the extensive checks it has been doing for every __setattr__ call. PR improves performance of __setattr__ by memoizing the...
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Keywords {๐}
sydneyrunkle, pydanticmainpy, show, resolved, reviewed, contributor, outdated, review, markussintonen, commented, viicos, model, comment, view, setattr, pull, performance, bot, attribute, left, pydantic, issues, models, functions, edited, request, good, dmontagu, sign, code, checks, setting, slow, class, benchmarks, field, tests, mentioned, author, idea, approved, fields, val, setter, merged, markussintonenfastsetattr, conversation, changed, pydantichooky, summary,
Topics {โ๏ธ}
contributor sydney-runkle left review relnotes-performance projects 404b8b7 sydney-runkle approved code review fixes contributor dmontagu left view reviewed member viicos left fast-setattr branch pull request title creating lambdas everytime pr improves performance nit-picky review fast-setattr mentioned large models model generation side proper functions defined specific style nits schema gen department pull request timeit import timeit pydantic/main attribute specific handlers explicitly approving due conversation return handlers['descriptor'] add missing benchmarks slow setting return handlers['cached_property'] sydney extensive checks pydantic models setattr branches prompt review functions defined __setattr__ call calling __setattr__ github model class merging good summary basemodel due pickling issues model initialization model instantiation checks markussintonen pretty slow simple dict attribute assigning attribute usage
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- One other thing I want to make sure of - this doesn't leave us with any pickling issues?
- Specifically, @dmontagu, wdyt about this?
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