Source: pydantic Maintainer: Debian Python Team Uploaders: Michael Banck , Colin Watson Section: python Testsuite: autopkgtest-pkg-pybuild Priority: optional Build-Depends: debhelper-compat (= 13), dh-python (>= 6.20241024~), dh-sequence-python3, cython3, pybuild-plugin-pyproject, python3-all-dev, python3-annotated-types , python3-cloudpickle , python3-dirty-equals , python3-dotenv , python3-email-validator (>= 2.0) , python3-fake-factory , python3-hatch-fancy-pypi-readme, python3-jsonschema , python3-packaging (>= 23.2) , python3-pydantic-core (>= 2.27.2), python3-pydantic-core (<< 2.27.3~), python3-pytest (>= 8.2.2) , python3-pytest-benchmark , python3-pytest-mock , python3-rich , python3-setuptools, python3-typing-extensions (>= 4.12.2) , python3-tz , Standards-Version: 4.6.2 Vcs-Browser: https://salsa.debian.org/python-team/packages/pydantic Vcs-Git: https://salsa.debian.org/python-team/packages/pydantic.git Homepage: https://github.com/samuelcolvin/pydantic Rules-Requires-Root: no Package: python3-pydantic Architecture: any Depends: ${misc:Depends}, ${python3:Depends}, ${shlibs:Depends}, python3-email-validator Breaks: python3-dirty-equals (<< 0.8~), python3-djantic (<< 0.7.0-5~), python3-maison (<< 2~), python3-pydantic-settings (<< 2.5.0), Description: Data validation and settings management using Python type hinting pydantic uses type hinting (PEP 484) and variable annotation (PEP 526) to validate that untrusted data takes the desired form. There is also support for an extension to dataclasses where the input data is validated.