python-cattrs
Port variant py38
Summary Composable complex class support for attrs (PY38)
Package version 1.8.0
Homepage https://github.com/Tinche/cattrs
Keywords python
Maintainer Python Automaton
License Not yet specified
Other variants py39
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Last modified 15 AUG 2021, 03:50:04 UTC
Port created 03 JAN 2020, 01:03:23 UTC
Subpackage Descriptions
single ====== cattrs ====== :alt: Documentation Status :alt: Supported Python versions ---- cattrs is an open source Python library for structuring and unstructuring data. cattrs works best with attrs classes, dataclasses and the usual Python collections, but other kinds of classes are supported by manually registering converters. Python has a rich set of powerful, easy to use, built-in data types like dictionaries, lists and tuples. These data types are also the lingua franca of most data serialization libraries, for formats like json, msgpack, yaml or toml. Data types like this, and mappings like dict s in particular, represent unstructured data. Your data is, in all likelihood, structured: not all combinations of field names or values are valid inputs to your programs. In Python, structured data is better represented with classes and enumerations. attrs is an excellent library for declaratively describing the structure of your data, and validating it. When you're handed unstructured data (by your network, file system, database...), cattrs helps to convert this data into structured data. When you have to convert your structured data into data types other libraries can handle, cattrs turns your classes and enumerations into dictionaries, integers and strings. Here's a simple taste. The list containing a float, an int and a string gets converted into a tuple of three ints. .. code-block:: pycon >>> import cattr >>> >>> cattr.structure([1.0, 2, "3"], tuple[int, int, int]) (1, 2, 3) cattrs works well with attrs classes out of the box. .. code-block:: pycon >>> import attr, cattr >>> >>> @attr.frozen # It works with normal classes too. ... class C: ... a = attr.ib() ... b = attr.ib() ... >>> instance = C(1, 'a') >>> cattr.unstructure(instance) {'a': 1, 'b': 'a'} >>> cattr.structure({'a': 1, 'b': 'a'}, C) C(a=1, b='a') Here's a much more complex example, involving attrs classes with type metadata. .. code-block:: pycon >>> from enum import unique, Enum >>> from typing import Optional, Sequence, Union >>> from cattr import structure, unstructure >>> import attr >>> >>> @unique ... class CatBreed(Enum): ... SIAMESE = "siamese" ... MAINE_COON = "maine_coon" ... SACRED_BIRMAN = "birman" ... >>> @attr.define ... class Cat: ... breed: CatBreed ... names: Sequence[str] ... >>> @attr.define ... class DogMicrochip: ... chip_id = attr.ib() ... time_chipped: float = attr.ib() ... >>> @attr.define ... class Dog: ... cuteness: int ... chip: Optional[DogMicrochip] ... >>> p = unstructure([Dog(cuteness=1, chip=DogMicrochip(chip_id=1, time_chipped=10.0)), ... Cat(breed=CatBreed.MAINE_COON, names=('Fluffly', 'Fluffer'))]) ... >>> print(p)
Configuration Switches (platform-specific settings discarded)
PY38 ON Build using Python 3.8 PY39 OFF Build using Python 3.9
Package Dependencies by Type
Build (only) python-pip:single:py38
autoselect-python:single:standard
Build and Runtime python38:single:standard
Runtime (only) python-attrs:single:py38
Download groups
main mirror://PYPIWHL/85/f4/56570f79c6bf44d3032c60e29c3786a00857ca4b68ba635300e7f4e5fbbc
Distribution File Information
901fb2040529ae8fc9d93f48a2cdf7de3e983312ffb2a164ffa4e9847f253af1 24343 cattrs-1.8.0-py3-none-any.whl
Ports that require python-cattrs:py38
python-statmake:py38 Applies STAT Stylespace to a variable font (PY38)