semvec/pypi-packages huggingface dataset:
cp-broadcast-HuParry 0.0.1
A nonebot plugin package
Requires Python: >=3.8

<div align="center">
  <a href="https://v2.nonebot.dev/store"><img src="https://github.com/A-kirami/nonebot-plugin-template/blob/resources/nbp_logo.png" width="180" height="180" alt="NoneBotPluginLogo"></a>
  <br>
  <p><img src="https://github.com/A-kirami/nonebot-plugin-template/blob/resources/NoneBotPlugin.svg" width="240" alt="NoneBotPluginText"></p>
</div>

<div align="center">

# nonebot-plugin-cp-broadcast

_✨ 一个Codeforces、牛客竞赛、AtCoder 平台的编程竞赛查询插件，ACMer必备 ✨_


</div>

# A plugin of nonebot2

You just need to use pip to install it. 

If you want to know how to use it, check the file [README.md]()
MyNeuron 1.0.0
MyNeuron is neural network.
Requires Python: >=3.6

# My custom neyron

MyNeuron is custom neural network. It built without andy machine learning frameworks.

MIT License

Copyright (c) [2022] [Abduraxim Jabborov Abduraxmon og'li]

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
dbt-lineage-viewer 1.0.4
A DBT lineage viewer

# DBT Dependency Viewer

DBT Lineage Viewer is a command-line tool for visualizing the upstream and
downstream dependencies of a specified DBT model within a DBT project. It
generates an HTML file containing a diagram of the dependency tree.

## Installation

Install the package using pip:

```bash
pip install dbt-lineage-viewer
```

## Usage
To use the DBT Dependency Viewer, please navigate into your dbt project folder
and run the following command:

```bash
dbt-lineage-viewer <model_name> --max-depth <max_depth> --output <output_file>
```
Replace `<model_name>` with the name of the DBT model you want to analyze,
`<max_depth>` with the maximum depth for the dependency tree, and
`<output_file>` with the name of the output HTML file.

## Parameters
model_name: The name of the DBT model to analyze (required).
max_depth: The maximum depth for the dependency tree (optional, default: 3).
output: The name of the output HTML file (optional, default: "test.html").

## Example
Analyze the tbl_acquisition_funnel model with a maximum depth of 3, and
generate an output HTML file named dependency_tree.html:

```bash
dbt-lineage-viewer tbl_acquisition_funnel --max-depth 3 --output dependency_tree.html
```