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We began analyzing https://docs.pydantic.dev/latest/usage/validation_decorator/, but it redirected us to https://docs.pydantic.dev/latest/usage/validation_decorator/. The analysis below is for the second page.
Title[redir]:
Validation Decorator - Pydantic
Description:
Data validation using Python type hints
Title[redir]:
Validation Decorator - Pydantic
Description:
Data validation using Python type hints
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Keywords {🔍}
function, validatecall, pydantic, return, def, import, type, validation, decorator, parameters, validationerror, types, parameter, field, functions, int, input, async, arguments, str, default, date, foobar, error, configuration, performance, checkers, custom, email, original, bytes, annotated, keyword, models, annotations, validating, limitations, validated, model, repeathello, helpful, variable, unpack, class, inputvalue, inputtypeint, decorated, bye, connection, testingexamplecom,
Topics {✒️}
strict mode model data conversion function signatures¶ page helpful alias='number' including pydantic models validators pydantic models type annotations 1 validation error model error handling custom types annotations types listed custom configuration performance impact types performance performance¶ type checkers infer trick type checkers pydantic import configdict launched pydantic logfire pydantic import positiveint integer [type=int_parsing error pydantic import field pydantic import validationerror python type system foobar [type=is_instance_of standard pydantic validationerror parameter configurations default_factory parameter config parameter async def execute describe function parameters¶ apply validation separate validation validation failure related specification section provide extra information costly/time consuming typing import annotated variable keyword parameters typing_extensions import typeddict 2 validation errors type checkers¶ type checkers strongly typed languages datetime import date
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