semvec/pypi-packages huggingface dataset:
TLibrary 0.1.1
TLibrary
Requires Python: >=3.7

# TLibrary
A Python library. for some basic things like printing with timestamp, or some more advanced stuff like gui's.

Feautures:
---
| Logging with timestamp:
* The Log object: `TLibrary.Log()`
    * Can write to console or a file
    * With a timestamp (can't be modified)
___
Coming Soon (Major updates only):
---
* A <abbr title="Made with pygame">Gui</abbr>

#
Feel free to give suggestions at <a href="https://github.com/ThijsieJWW/TLib">Github</a>
iglu 0.2.2
IGLU: Interactive Grounded Language Understanding in Minecraft
Requires Python: >=3.7

# Iglu Environment

The main documentation is available [here](https://iglu-contest.github.io/).

## Installation

### 1. JDK 1.8 installation 

#### On Ubuntu/Debian:

```bash
sudo add-apt-repository ppa:openjdk-r/ppa
sudo apt-get update
sudo apt-get install openjdk-8-jdk
```

#### On Mac:

```bash
brew tap AdoptOpenJDK/openjdk
brew cask install adoptopenjdk8
```

#### On Windows:

Please use [Windows installer](https://www.oracle.com/technetwork/java/javase/downloads/jdk8-downloads-2133151.html).

### 3. Install xvfb

By default `iglu` renders using virtual display using `xvfb` software renderer. 

#### Debian and Ubuntu
```bash
sudo apt-get install xvfb
```

### 4. IgluEnv installation 

`iglu` env requires python version `3.7` or newer. If you are using `conda` you can easily install that in local conda env:

```bash
conda create -n iglu_env python=3.7
conda activate iglu_env
```

You can install using pip: `TODO`

To install the package manually, do the following:

```
git clone git@github.com:iglu-contest/iglu_env.git && cd iglu_env
python setup.py install
```

#### And then test your installation
```
cd test && python test_env.py
```
### Suggested requirements for RL solution

```bash
conda env update --file conda_env.yml
```

### Docker installation 

To use `iglu` environment inside the docker container proceed to [Docker installation](docker/getting_started.md) section.
smart-module-test 0.0.3
骑砍源码组织利器，一个py文件就是一个神奇的module，每一个module都是一个单独的功能，可以代表是一个庞大的功能模块，也可以是一些通用类代码的集合，且每一个module无论功能大小，代码多少，都可以在多个剧本之间达到极速移植！

README.md