typedload 2.19-1 source package in Ubuntu
Changelog
typedload (2.19-1) unstable; urgency=low
* New upstream release
* Use jdupes to link duplicated images together
* Remove HTML from documentation package: mkdocs refuses to respect privacy
and requires internet.
-- Salvo 'LtWorf' Tomaselli <email address hidden> Mon, 03 Oct 2022 19:47:04 +0200
See full publishing history Publishing
| Series | Published | Component | Section |
|---|
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| typedload_2.19-1.dsc | 2.2 KiB | 32e2132cf7cb96cd7294e398e73f85bdc77f2aa18bd807ccafd6f4a00d5e3073 |
| typedload_2.19.orig.tar.gz | 79.6 KiB | 0acaced3fb84b17c772708cee0413e03f4ac6485deb663ff5f0c9e4cfc0c6c05 |
| typedload_2.19.orig.tar.gz.asc | 833 bytes | ec3cf8fc988c35f915edddee00aa4e4a310efb2898281292dfce89bda1711652 |
| typedload_2.19-1.debian.tar.xz | 13.9 KiB | de107fe75f960815cf4d216d6909cb632750c277e41786d70048ce40a0c3836a |
Available diffs
- diff from 2.18-1 to 2.19-1 (24.8 KiB)
No changes file available.
Binary packages built by this source
- python3-typedload: Load and dump json-like data into typed data structures in Python3
This module provides an API to load dictionaries and lists (usually loaded
from json) into Python's NamedTuples, dataclass, sets, enums, and various
other typed data structures; respecting all the type-hints and performing
type checks or casts when needed.
.
It can also dump from typed data structures to json-like dictionaries and
lists.
.
It is very useful for projects that use Mypy and deal with untyped data like
json, because it guarantees that the data will follow the desired schema.
- python3-typedload-doc: Documentation and examples for python3-typedload
This module provides an API to load dictionaries and lists (usually loaded
from json) into Python's NamedTuples, dataclass, sets, enums, and various
other typed data structures; respecting all the type-hints and performing
type checks or casts when needed.
.
It can also dump from typed data structures to json-like dictionaries and
lists.
.
It is very useful for projects that use Mypy and deal with untyped data like
json, because it guarantees that the data will follow the desired schema.
.
This is the documentation for the module.
