Ubuntu
python-cattrs package

python-cattrs 22.2.0-2 source package in Ubuntu

python-cattrs (22.2.0-2) unstable; urgency=medium

  * drop DPT

 -- Sandro Tosi <email address hidden>  Sat, 02 Mar 2024 03:59:28 -0500

Series	Pocket	Published	Component	Section
Noble	release	on 2024-03-03	universe	misc

File	Size	SHA-256 Checksum
python-cattrs_22.2.0-2.dsc	2.3 KiB	d2fde5bad24a6e21e0635ef25fa18284ede066812dae7351d4b9238ebfc633c9
python-cattrs_22.2.0.orig.tar.xz	94.2 KiB	923e5fe2eaa961c864884105b26ef24e1989ad850008088d09b8554456f43506
python-cattrs_22.2.0-2.debian.tar.xz	3.2 KiB	8f5e1807714699662f9650a45b5bea50b2c3643fdc06af412fee3c7d9ba4cebb

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python-cattrs-doc: documentation for the cattrs Python library: 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...), uattrs 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.
.
This package provides documentation for cattrs

python3-cattr: composable complex class support for attrs and dataclasses: 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...), uattrs 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.