Metadata-Version: 2.2
Name: ConvexTrader
Version: 0.0.3
Summary: A collection of SAT and SMT solvers for solving Sudoku puzzles
Home-page: https://acquantclub.com/ConvexTrader
Author: Liam Davis, Tairan 'Ryan' Ji, Allison Klinger, Surya Rao
Author-email: ljdavis27@amherst.edu, tji26@amherst.edu, aklinger27@amherst.edu, srao28@amherst.edu
License: MIT
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
License-File: LICENSE
Requires-Dist: cvxpy
Requires-Dist: numpy
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: license
Dynamic: requires-dist
Dynamic: requires-python
Dynamic: summary

# Applications-of-Convex-Optimization

Fall 2024 Project: Applications of Convex Optimization

## Installation

### Setting Up a Virtual Environment

1. **Clone the repository**:
    ```bash
    git clone https://github.com/yourusername/Applications-of-Convex-Optimization.git
    cd Applications-of-Convex-Optimization
    ```

2. **Create a virtual environment**:
    ```bash
    python3 -m venv env
    ```

3. **Activate the virtual environment**:
    - On macOS and Linux:
        ```bash
        source env/bin/activate
        ```
    - On Windows:
        ```bash
        .\env\Scripts\activate
        ```

### Installing Dependencies

1. **Install the required packages**:
    ```bash
    pip install -r requirements.txt
    ```

### Running Tests

1. **Navigate to the tests directory**:
    ```bash
    cd tests
    ```

2. Follow the instructions in the README located in the tests directory to run the tests.
