semvec/pypi-packages huggingface dataset:
graphene-django-extended 1.2.3
A collection of utility classes to extend the base functionality of graphene_django
Requires Python: >=3.9


## CAVEATS 
- No tests for now 
- Stubs are missing for graphene and graphene-django
- Unstable API - needs more usage
- Version 1.0.2 is the most stable
- Version 1.1 includes filtering capabilities (from DjangoFilterConnectionField), which is NOT an opt-in. It requires all Nodes to have filter_fields defined. It might also break the DjangoInterface, untested yet.

## TODO
- Make sure Sphinx generates docs from all files
- generate html instead of md ???
- add general introduction and usage guide on the docs

## Build
`hatch build` or `python -m hatch build`
`hatch publish` or `python -m hatch publish` with username `__token__`. Make sure the [keyrings backend](https://github.com/jaraco/keyrings.alt) is installed. 
On arch `pacman -S python-hatch python-keyrings-alt`, publish with `username:__token__`
The default keyring is located at `~/.local/share/python_keyring/` and uses the name "main". Again this is not a recommended implementation, just a quick and dirty keyring usage
ipc-parser 0.1.1
Parsing XML International Patent Classifications (IPC)
Requires Python: >=3.6
Keywords: ipc, patent, wipo

# IPC Parser

By using `ipc_parser` you will be able to get the data frame of International Patent Classifications (IPC) from IPC-Scheme xml file that you could download from wipo website. This dataframe includes ipc human readable code, description, parent list and materialized path.

## Use Case Example

```bash
pip install ipc_parser
```

Download IPC_scheme xml file from following link:
https://www.wipo.int/ipc/itos4ipc/ITSupport_and_download_area/20240101/MasterFiles/index.html

```python
from ipc_parser.parser import IpcParser

path_to_xml = "EN_ipc_scheme_20240101.xml"

ipc_obj = IpcParser(ipc_xml=path_to_xml)
df = ipc_obj.get_dataframe()


```