Cross-validation of dependent traits
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- Python
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描述
Suppose I have an object with traits 'a', 'b', and 'c', with the constraints that a>b>c and default values a=1, b=10, c=100. I'd like to write a validator that checks this constraint, such that I can assign all three values at once to get a new consistent state (either on creation, like MyObject(a=5, b=6, c=7). How would I write such a validator?
If it's not possible, would it be possible to include in the proposal argument to a validator the new values of any other traits in the same assignment, so I can compare against what the object state will be instead of what it currently is?
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调研方向
The issue names no files, tests, or entry points. Start by tracing trait validation and multi-trait assignment behavior, then determine whether dependent values can be checked against the proposed consistent state; done would require a settled validator design and corresponding documented behavior.
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