Installation

Using Docker (recommended)

Clone the repository
Build the Docker image
```
./tasks/docker_build.sh
```
Run the Docker container
```
./tasks/run_benchmark.sh
```

Note: The ./tasks/run_benchmark.sh script mounts the current directory to the /workspace directory in the Docker container. This allows you to edit the code on your host machine and run the code in the Docker container without rebuilding.

Using Pip

We recommend using Python 3.8.10.

Install the package from PyPI
```
pip install tabularbench
```

With Pyenv and Poetry

Clone the repository
Create a virtual environment using Pyenv with Python 3.8.10.
Install the dependencies using Poetry.

   poetry install

Using conda

Clone the repository
Create a virtual environment using Conda with Python 3.8.10.
```
conda create -n tabularbench python=3.8.10
```
Activate the conda environment.
```
conda activate tabularbench
```
Install the dependencies using Pip.
```
pip install -r requirements.txt
```