semvec/pypi-packages huggingface dataset:
suofei-scale 0.0.1
SUOFEI POSTAL SCALE DRIVER
Requires Python: <4.0,>=3.8

if you want to do MAN IN THE MIDDLE - START SUOFEI SCALE APPLICATION AND INSTALL com0com - virtual serial port

BAUD: 9600
NO FLOW CONTROL

Works with HERCULES SERIAL PORT

PROTOCOL:

EXAMPLE FRAME:



5F0400028FD6 6,55 kg
{5F}{04}{00}{00}{1E}{45} 0,30 kg
{5F}{04}{00}{00}{23}{78} 0,35 kg
{5F}{04}{00}{02}{D0}{89} 7,2 kg

PRZYKŁADOWA ODPOWIEDŹ MQTT

0x5F 0x04 0x00 0x05 0x3C 0x62

{5F}{44}{00}{02}{8F}{D6}  -6,55 kg - the second byte is changed to 44 instead of 04
infoflow-robot 0.0.2
A Python SDK for baidu infoflow robot.
Requires Python: >=3.10

# infoflow-robot

[![PyPI - Version](https://img.shields.io/pypi/v/infoflow-robot.svg)](https://pypi.org/project/infoflow-robot)
[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/infoflow-robot.svg)](https://pypi.org/project/infoflow-robot)

-----

## 目录

- [安装](#安装)
- [使用](#使用)

## 安装

```console
pip install infoflow-robot
```

## 使用

```python
import infoflow_robot
import infoflow_robot.message as msg


webhook = "http://example.com/webhook"
toid = [123456]

# 发送单条信息
robot = infoflow_robot.Robot(webhook, toid)
robot.send(msg.Text("Hello, World!\n你好，世界"))

# 发送多条信息 (session 复用)
with infoflow_robot.Robot(webhook, toid) as robot:
    robot.send(msg.Text("崭新的一年即将开始，愿新的一年里我们都能收获成长与喜悦！"))
    robot.send([
        msg.Text("本周五晚上有聚餐，记得来！"),
        msg.At(atall=True),
    ])

# 发送图片
import base64
with open("loveyou.png", "rb") as f:
    img = base64.b64encode(f.read())
robot.send(msg.Image(img))
```

## License

`infoflow-robot` is distributed under the terms of the [MIT](https://spdx.org/licenses/MIT.html) license.
synnax-lab-sdk 2.1.0
Synnax Lab SDK for downloading training data and uploading predictions
Requires Python: >=3.8
Keywords: synnax

# Synnax Lab SDK

## Installation

```Shell
> pip install synnax-lab-sdk
```

## Usage

```Python
from synnax_lab_sdk.client import SynnaxLabClient

synnax_lab_client = SynnaxLabClient(api_key="your_api_key")
files = synnax_lab_client.get_datasets(with_macro_data=False)
# Train your model and generate predictions
synnax_lab_client.submit_predictions(files["dataset_date"], submissions_path)
```

SDK usage sample file also [available here](https://github.com/synnax-ai/synnax-lab-sdk/blob/master/samples/main.py)

Synnax Lab onboarding manual, including steps to register, download data and make a submission is [available here](https://github.com/synnax-ai/synnax-lab-sdk/blob/master/tutorials/onboarding_manual.ipynb)