Metadata-Version: 2.1
Name: DLScanner
Version: 0.0.3
Summary: Scanning parameter spaces using machine learning
Author: Ahmed Hammad, Raymundo Ramos
Project-URL: Homepage, https://github.com/raalraan/DLScanner
Project-URL: Issues, https://github.com/raalraan/DLScanner/issues
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.9
Description-Content-Type: text/markdown
Requires-Dist: numpy<2.0.0,>=1.23.5
Requires-Dist: vegas>=6.1
Requires-Dist: matplotlib

# DLScanner

This is just an skeleton of a project in progress

# Testing

Testing works better inside a virtual environment.
The simplest way to create one is by running:

    # Create virtual environment
    python -m venv /path/to/new/virtual/environment
    # Activate virtual environment
    source /path/to/new/virtual/environment/bin/activate

Replace `/path/to/new/virtual/environment` with the path
that you want to contain the files for the virtual environment.
For example, `.venv` in the root of this repository.

Then, install this package for testing by running `pip install -e .` from the
root of this repository.

