semvec/pypi-packages huggingface dataset:
rl-tools 0.0.1
A general toolset for reinforcement learning (RL)
Requires Python: >=3.0

# rl-tools

![PyPI](https://img.shields.io/pypi/v/rl-tools?style=flat-square) ![GitHub](https://img.shields.io/github/license/gxywy/rl-tools?style=flat-square) ![GitHub last commit](https://img.shields.io/github/last-commit/gxywy/rl-tools?style=flat-square)

 This is a simple toolset for reinforcement learning (RL).

## Installation

from PIP

```
pip install rl_tools
```

from source

```shell
python setup.py install
```

## Usage

**As a alone script:**

for example:

```
python -m rl_tools.plotter --save --show
```

- [enjoy.py](./rl_tools/enjoy.py)  enjoy the trained model, and track avg, med, std, min, max reward of episodes.
- [plotter.py](./rl_tools/plotter.py) plot learning curves for training , see [rl-plotter](https://github.com/gxywy/rl-plotter) for detail.
- [scheduler.py](./rl_tools/scheduler.py)  set training scheduler for tasks.



**In RL agent:**

for example:

```
from rl_tools.evaluator import Evaluator
from rl_tools.logger import Logger
```

- [evaluator.py](./rl_tools/evaluator.py) evaluate model while training.
- [logger.py](./rl_tools/logger.py) track learning process while training (same format as OpenAI baseline).
SentimentAnalysis 0.8
A small example package
Requires Python: >=3.6
Keywords: Sentiment Analysis,Sentence Sentiment,Emotion Analysis

# SentimentAnalysis Package

# How to use the package?

from AnalyseSentiment.AnalyseSentiment import AnalyseSentiment

obj = AnalyseSentiment()

data = obj.Analyse("sentence to be analysed")
TheFloatingDutchman 1.0.5
Package for The Floating Dutchman game
Requires Python: >=3.8

# TheFloatingDutchman
**GAME WORKS BEST ON 1920 X 1080**

The Floating Dutchman is a Rouguelike, Shoot-Em-Up game where you play as the captain of The Flying Dutchman and you've just been lost in space. Travel the galaxies in search of your missing crew members while fighting off the waves of Ghost Bustas as they try and stop you.

## Version Control
https://github.com/EddieFerro/thefloatingdutchman

## Installing package through pip
#### Ensure you have the latest python installed (3.8.5) and pip

Python: https://www.python.org/downloads/  
Pip: https://pip.pypa.io/en/stable/installing/

#### Run the following command in the terminal to install the game and its dependencies:    
`pip install TheFloatingDutchman`
**or**
`pip install TheFloatingDutchman==1.0.5`

## Installing from source
#### Ensure you have the latest python installed (3.8.5) and pip

Python: https://www.python.org/downloads/  
Pip: https://pip.pypa.io/en/stable/installing/

#### Then clone the repository
    
    git clone https://github.com/EddieFerro/thefloatingdutchman.git

#### And install dependencies

    python3 -m pip install -U pygame==2.0.0.dev8 --user  
    python3 -m pip install -U networkx --user  
    python3 -m pip install -U numpy --user
    python3 -m pip install -U ordered-set --user

## Running the game
#### If installed through pip type the following command into the terminal:

    TheFloatingDutchman

#### If installed from source, in the same directory as main run the following command:

    python3 main.py
django-ismobile 1.0.2
Middleware for Django.
Requires Python: >=3.6,<4.0

# django-ismobile


"is_mobile" middleware for Django

## Requirements
Requires Django 2.0 or later.

## Installing

Install with `pip` or your favorite PyPi package manager.

```
pip install django-ismobile
```

## Using

Include MobileControlMiddleware into your MIDDLEWARE:

```
MIDDLEWARE = (
    ...
    'ismobile.middleware.MobileControlMiddleware',
    ...
)
```

## Config

In order to change request attribute name, 
set **IS_MOBILE_ATTR_NAME** in django **settings** file.

```
IS_MOBILE_ATTR_NAME="custom_name"
```
VerdictCut 0.1.6
cut the verdict into different part
Requires Python: >=3.6

# 判決書段落分割
## 使用方法
安裝套件
`
    pip install VerdictCut
`

找事實
```python
from VerdictCut import find_fact
fact = find_fact(text)
print(fact)
```

找論罪科刑
```python
from VerdictCut import find_justice
justice = find_justice(text)
print(justice)
```

找附錄法條
```python
from VerdictCut import find_laws
laws = find_laws(laws))
print(laws)
```

找主文
```python
from VerdictCut import find_maintext
maintext = find_maintext(text)
print(maintext)
```

找人物
```python
from VerdictCut import find_roles
roles = find_roles(text)
print(roles)
```