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We began analyzing https://docs.pydantic.dev/latest/usage/types/, but it redirected us to https://docs.pydantic.dev/latest/usage/types/. The analysis below is for the second page.
Title[redir]:
Types - Pydantic
Description:
Data validation using Python type hints
Title[redir]:
Types - Pydantic
Description:
Data validation using Python type hints
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Keywords {🔍}
type, import, pydantic, types, validation, class, annotated, custom, assert, thirdpartytype, json, python, def, getpydanticcoreschema, field, handler, return, strict, typing, coreschema, schema, generic, aliases, int, validationerror, model, getcoreschemahandler, input, instance, pydanticcore, basemodel, metadata, named, integer, sourcetype, classmethod, alias, serialization, data, cls, error, library, create, annotatedtypes, string, typingextensions, typealiastype, modelbasemodel, str, username,
Topics {✒️}
resolve forward annotations conversion table standard pydantic models page helpful validators dataclasses import dataclass type conversion¶ lax conversion strict mode define fields examples make mode='serialization' constrained types¶ constrained types fields examples mode='validation' strict types custom data types support field-specific metadata implicit type alias interpret input [type=bool_parsing 1 validation error api enabling strict coercion named type aliases¶ named type aliases json schema definition pydantic types type standard library types recursive type aliases python[json=list[int] annotated-types library pydantic-compatible types custom types¶ custom types json schema json data convert internal schema generation modifies schema building pydantic-core schema core schema returned generic alias make types reusable type alias' implicit type aliases strict field custom sequence type customize json schemas strict option
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