Source: python-cattrs
Section: python
Maintainer: Sandro Tosi <morph@debian.org>
Build-Depends: debhelper-compat (= 13),
               pybuild-plugin-pyproject,
               python3-all,
               python3-attr <!nocheck>,
               python3-bson <!nocheck>,
               python3-cbor2 <!nocheck>,
               python3-hatch-vcs,
               python3-hatchling,
               python3-hypothesis <!nocheck>,
               python3-msgpack <!nocheck>,
               python3-msgspec <!nocheck>,
               python3-orjson <!nocheck>,
               python3-pytest <!nocheck>,
               python3-pytest-benchmark <!nocheck>,
               python3-tomli-w <!nocheck>,
               python3-tomlkit <!nocheck>,
               python3-typing-extensions <!nocheck>,
               python3-ujson <!nocheck>,
               python3-yaml <!nocheck>,
Standards-Version: 4.7.4
Testsuite: autopkgtest-pkg-pybuild
Homepage: https://github.com/python-attrs/cattrs
Vcs-Git: https://salsa.debian.org/morph/python-cattrs.git
Vcs-Browser: https://salsa.debian.org/morph/python-cattrs

Package: python3-cattr
Architecture: all
Depends: ${misc:Depends},
         ${python3:Depends},
Recommends: ${python3:Recommends},
Suggests: ${python3:Suggests},
Description: flexible object serialization and validation for attrs and dataclasses
 cattrs is a Swiss Army knife for (un)structuring and validating data in
 Python. In practice, that means it converts unstructured dictionaries into
 proper classes and back, while validating their contents.
 .
 Python has a rich set of powerful, easy to use, built-in unstructured data
 types like dictionaries, lists and tuples. These data types effortlessly
 convert into common serialization formats like JSON, MessagePack, CBOR, YAML
 or TOML. But the data used by your business logic should be structured into
 well-defined classes, since not all combinations of field names or values
 are valid inputs to your programs.
 .
 When you're handed unstructured data (by your network, file system,
 database, ...), cattrs helps to convert this data into trustworthy
 structured data. When you have to convert your structured data into data
 types that other libraries can handle, cattrs turns your classes and
 enumerations into dictionaries, integers and strings.
 .
 cattrs works best with attrs classes and dataclasses, where simple
 (un-)structuring works out of the box, even for nested data, without
 polluting your data model with serialization details.