pydantic
https://github.com/pydantic/pydantic
Python
Data validation using Python type hints
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- Issues
- `TypeAdapter` doesn't respect `config['schema_generator']`
- Fixes loss when serializing/deserializing large decimals #9180 (take 2)
- `infer_discriminator`
- Hide private attributes (`PrivateAttr`) from `__init__` signature in type checkers
- Revisit cases where `__pydantic_private__` is `None` vs `{}`
- Field Validator Order Changes with Lists of Tuples
- Consider refactor for known annotated metadata application in recursive cases
- Create a round_to setting for float validator
- Configure behavior for extra fields at runtime / validation time
- Nested Literals together with PEP-695 type statement are failed to produce json schema
- Docs
- Python not yet supported