semvec/pypi-packages huggingface dataset:
frenchlottery 0.3.0
Get up-to-date lottery draws from FDJ
License: MIT
Requires Python: >=3.10

# frenchlottery

Simple Python package to retrieve lottery data from [FDJ](https://www.fdj.fr/) website.

## Installation

``pip install frenchlottery``

## Usage

### From the command line (activated env with lottery installed)

- French lottery (default):
  ``python -m frenchlottery -n 15``
- Euromillions lottery:
  ``python -m frenchlottery source=euro -n 5``

### Within your project

```python
from frenchlottery import get_euromillions_results, get_loto_results

loto_res = get_loto_results()
euro_res = get_euromillions_results()
...
```

## TODO
- If `--lines` parameter is specified, no need to pull entire history. The user will most likely pull 10-15 lines.

## NB
- This is no way affiliated to FDJ. I'm just using it as a source of historical data.
- The initial name for the package was `lottery` which was way more elegant and worked perfectly within test PyPi (https://test.pypi.org/project/lottery/). However when publishing to PyPI, the name isn't allowed.. Great..!
nonebot-plugin-group-file-admin 0.1.3
Default template for PDM package
License: MIT
Requires Python: >=3.10

<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-group-file-admin
_✨ 简易的群文件管理 ✨_

</div>

## 💿 安装

<details open>
<summary>使用 nb-cli 安装</summary>
在 nonebot2 项目的根目录下打开命令行, 输入以下指令即可安装

    nb plugin install nonebot-plugin-group-file-admin

</details>

<details>
<summary>使用包管理器安装</summary>
在 nonebot2 项目的插件目录下, 打开命令行, 根据你使用的包管理器, 输入相应的安装命令

<details>
<summary>pip</summary>

    pip install nonebot-plugin-group-file-admin
</details>
<details>
<summary>pdm</summary>

    pdm add nonebot-plugin-group-file-admin
</details>
<details>
<summary>poetry</summary>

    poetry add nonebot-plugin-group-file-admin
</details>
<details>
<summary>conda</summary>

    conda install nonebot-plugin-group-file-admin
</details>

打开 nonebot2 项目根目录下的 `pyproject.toml` 文件, 在 `[tool.nonebot]` 部分追加写入

    plugins = ["nonebot_plugin_group_file_admin"]

</details>

## ⚙️ 配置

| 配置项 | 必填 | 默认值 | 说明 |
|:-----:|:----:|:----:|:----:|
| fa_del_model | 否 | 1 | 默认删除根目录文件模式（更多模式见下表） |
| fa_expand_name | 否 | 无 | 文件扩展名 |

| 值 | 说明 |
|:----:|:----:|
| 1 | 删除根目录文件 |
| 2 | 根据`fa_expand_name`配置项删除文件 |
| 3 | 一键清空群文件 |


## 🎉 使用
### 指令表
**注意: 所有指令均需要以`/`开头**
| 指令 | 权限 | 需要@ | 范围 |
|:-----:|:----:|:----:|:----:|
| 清理群文件 | 主人 | 否 | 群聊 |
| 文件整理 | 主人 | 否 | 群聊 |
| 备份群文件 | 主人 | 否 | 群聊 |
| 恢复群文件 | 主人 | 否 | 群聊 |
| 清理本地文件 | 主人 | 否 | 群聊 |
PureTorch 0.1.3
A PyTorch-like library built from scratch
License: MIT
Requires Python: <3.12,>=3.9
Keywords: deep learning, neural networks, machine learning, pytorch, numpy

***
# Table of contents
|Title|Desc|
|-|-|
|[Version](#version-info)|Current version and features|
|[Purpose](#purpose)|What and why of this repo|
|[Structure](#structure)|File structure of various modules|
|[Upcoming features](#upcoming-features)|Features that im working on|
|[Setup](#setup)|How to setup locally|
****

# Version info
**Current version** - 0.1.3\
**New features** - new Flatten layer added inside PureTorch.layers

*Runs on CPU only. Might add GPU support later.*
****

# Purpose
Raw implementation of PyTorch using NumPy.
The structure and essence of torch remains the same, but its fully implemented using NumPy.
****

# Structure
<u><b>Current file structure</b></u>:
- PureTorch
    - activations
        - ReLU
        - Softmax
        - Tanh
    - layers
        - Sequential
        - Linear
        - Flatten
    - loss
        - CrossEntropyLoss
        - SparseCrossEntropyLoss

Will be adding other layers, activations, losses, optimizers.\
As of now, the default optimizer is SGD.\
To check the "development code" check the "dev" branch
****

# Upcoming features
These are the features that im working on, and will soon be a part of PureTorch.
- Convolutional layer(s)
    - 2D first, then 1D and multi-dim
****

# Setup
Install git before running this command in your env, then run:
```
pip install PureTorch
```
Run: (to verify the installation in python)
```
import PureTorch
print(PureTorch.__version__)
```
or: (to verify the installation on the terminal)
```
python3 -c "import PureTorch; print(PureTorch.__version__)"
```
****