semvec/pypi-packages huggingface dataset:
ipfs-car-decoder 0.1.1
Pure python implementation of a ipfs CAR block decoder.
Requires Python: >=3.7

Validate what an IPFS gateway returns by decoding and validating the CAR block.

Usage
-----

CARs can be read from memory or file and can be exported as a file/folder or byte stream

>>> import asyncio
>>> import aiohttp
...
>>> from ipfs_car_decoder import ChunkedMemoryByteStream, stream_bytes
...
>>> ipfs_hash = 'bafkreibm6jg3ux5qumhcn2b3flc3tyu6dmlb4xa7u5bf44yegnrjhc4yeq'
...
>>> async def test():
...     stream = ChunkedMemoryByteStream()
...     async with aiohttp.ClientSession() as session:
...         async with session.get(f'https://ipfs.io/ipfs/{ipfs_hash}', headers={'Accept':'application/vnd.ipld.car'}) as resp:
...             resp.raise_for_status()
...             assert resp.content_type == 'application/vnd.ipld.car'
...             async for chunk, _ in resp.content.iter_chunks():
...                 await stream.append_bytes(chunk)
...     await stream.mark_complete()
...     acc = b''
...     async for chunk in stream_bytes(ipfs_hash, stream):
...         acc += chunk
...     print(acc)
...
>>> asyncio.run(test())
b'hello'
ccc-model-manager 1.10.1
Model Manager
Requires Python: >=3.7

# Machine Learning model manager
## Install
To install latest version:

`pip install --index-url https://wcp-docker-ci.artifactory.eng.vmware.com/api/pypi/pypi-virtual/simple ccc-model-manager`

## Use
To use BERTModel:

`from model_manager.models.bert_model import BERTModel`

## Publish new version
0. Install python `build` package: `pip install build`
1. Make your changes in model_manager package
2. Test your changes by running `make test`
3. Bump version number in `ccc-model-manager/pyproject.toml`
4. Bump version number in `deploy/images/ccc-pipeline-base/Dockerfile` and inference apps that use the library. 
5. Build and Upload to repo by running `./scripts/build_publish.sh`
pilot-config 2.5.14
Pilot Automation Command Line Utility
Requires Python: >=3
Keywords: pilot development automation plc

# Pilot Config Tool

Configuration tool for the Pilot Automation Platform

This tool configures the firmware for your Pilot Mainboard and attached modules. You need at least a supported single board computer (SBC, currently Raspberry Pi and Google Coral are supported) and a Pilot Mainboard attached to it.

There are two options:
- Install pilot-config locally on the SBC
- Install pilot-config on a PC that can access the SBC via SSH
 
## Installation
`sudo pip3 install pilot-config`

## Upgrade
`sudo pip3 install --upgrade pilot-config`

## Run locally (on the single board computer)
`sudo pilot setup`

## Run remotely
`pilot setup --host [IP] --user [user] --password [password]`

[IP]       = hostname or IP address of your SBC
[user]     = SSH username
[password] = SSH password 


## Infos when regerating Protos

If `generate_protobuf.sh` is run, the import in `grpc_gen/pilotbuild_pb2_grpc.py` is not generated correctly.
You need to change the import in line 5 to:
``` python
from . import pilotbuild_pb2 as pilotbuild__pb2
```