# Installation
**ONNC Bench** requires **Python 3.6 or above**. Using **virtual environment managers**, such as Conda or VirtualEnv, **is highly recommanded**.

## Install **ONNC Bench** by pip

You can install **ONNC Bench** by the popular `pip` from `pypi`. Simply type this:
```
pip install onnc-bench
```

To verify your installation, use `pip show`.

```
$ pip show onnc-bench

Name: onnc-bench
Version: 2.0.0
Summary: ONNC-bench is a Python wrapper of ONNC
Home-page: https://www.skymizer.com
Author: The Skymizer Team
Author-email: hello@skymizer.com
License: Apache License 2.0
Location: /usr/local/lib/python3.9/site-packages
Requires: sentry-sdk, click, wget, loguru, onnx, read-only-attributes, numpy, jinja2, requests
Required-by:
```

Now, you should be able to import **ONNC Bench** in a python shell

```python
>>> from onnc.bench import __version__
>>> print(__version__)
2.0.0
```

## Install Virtual Environment Managers
Simply follow below instructions to create a Conda/Miniconda environment for **ONNC Bench**

1. If you do not have Conda, intall Miniconda([Installation Doc](https://docs.conda.io/en/latest/miniconda.html)) first.
2. Create a Conda environment:
	```
	$ conda create -y python=3.7 --name onnc-bench

	... (skiped)

	# To activate this environment, use
	#
	#     $ conda activate onnc-bench
	#
	# To deactivate an active environment, use
	#
	#     $ conda deactivate
	```
3. Activate the environment:
	```
	$ conda activate onnc-bench
	```

After installation, every time you want to use **ONNC Bench**, you have to activate this environment with the same command.