{"id":22021747,"url":"https://github.com/dxns-hub/harmonic-balancer-project","last_synced_at":"2025-05-07T06:42:10.009Z","repository":{"id":261528576,"uuid":"878772093","full_name":"dxns-hub/harmonic-balancer-project","owner":"dxns-hub","description":"A mathematical tuning fork designed to help individuals find balance in various aspects of life. Our tool leverages key principles to optimize performance and efficiency. 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Donate so we can get a new computer!\n\n## Follow Us\nStay updated with our latest news and events. \n\n## Harmoic Balancer Project\n\nA mathematical tuning fork designed to help individuals find balance in various aspects of life. Our tool leverages key principles to optimize performance and efficiency:\n\n- **R (Resonance)**: Identify and optimize patterns within systems.\n- **F (Fuel Efficiency)**: Ensure efficient utilization of resources.\n- **E (Energy Conversion)**: Optimize the conversion of inputs into outputs.\n- **Golden Ratio**: Utilize the golden ratio to achieve natural balance and harmony.\n\n**Equation**: $$\\Phi = \\sqrt{(R \\cdot F^2) + E^2}$$\n\nThis equation can be adapted to balance other equations by incorporating different constants, such as:\n\n- **Equation**: $$\\sqrt{(R \\cdot F^2) + E^2} \\cdot \\Psi$$\n- **Equation**: $$\\sqrt{(R \\cdot F^2) + E^2} \\cdot \\pi$$\n- **Equation**: $$\\sqrt{(R \\cdot F^2) + E^2} \\cdot \\phi$$\n- **Equation**: $$\\sqrt{(R \\cdot F^2) + E^2} \\cdot e$$\n\nWe also incorporate fundamental mathematical constants like Pi (π), Euler’s number €, Phi (φ), and Psi (ψ) to explore their potential in achieving optimal balance and efficiency.\nJoin us in exploring the science of balance and harmony to enhance productivity and well-being.\n\n- **Features**\n    - Multi-agent simulation of interconnected groups\n    - Various network topologies (small-world, scale-free, random)\n      - External shock simulations (pulse, sine, step, complex)\n      - System complexity and resilience analysis\n      - Visualization of system dynamics and resilience metrics\n- **Examples**: Added multiple examples demonstrating how to use the `HarmonicBalancer` class in different fields:\n  - **Mathematical Constants**: Example using π.\n  - **Scientific Applications**: Example using an exponential function.\n  - **Musical Applications**: Example using a sine function.\n  - **Image Processing**: Example simulating an image processing function.\n- **Testing**: Instructions on how to run the tests.\n- **Contributing**: Information on how to contribute to the project.\n- **License**: License information.\n\n### Explanation\n\n- **[`app.py`](app.py )**: The Flask application that serves the web interface and runs the tests.\n- **`harmonic_balancer.py`**: Contains the `HarmonicBalancer` class.\n- **[`ecosystem.py`](ecosystem.py )**: Contains the `EnhancedHumanQuantumEcosystem` class.\n- **[`quantum_reactor_simulation.py`](quantum_reactor_simulation.py )**: Contains the `QuantumReactor` class and its simulation methods.\n- **[`quantum_system.py`](quantum_system.py )**: Contains the `QuantumSystem` class.\n- **[`analysis.py`](analysis.py )**: Contains functions for analyzing the results.\n- **[`field_applications.py`](field_applications.py )**: Provides example applications of the `HarmonicBalancer`.\n- **[`visualization.py`](visualization.py )**: Contains functions for visualizing the results.\n- **[`requirements.txt`](requirements.txt )**: Lists the project dependencies.\n- **[`README.md`](README.md )**: Provides an overview of the project, installation instructions, usage examples, and contribution guidelines.\n- **[`static/index.html`](static/index.html )**: The HTML5 file that serves as the frontend for the web application.\n- **[`tests`](tests )**: Directory containing test scripts.\n  - **`test_harmonic_balancer.py`**: Tests for the `HarmonicBalancer` class.\n  - **`test_ecosystem.py`**: Tests for the `EnhancedHumanQuantumEcosystem` class.\n  - **`test_quantum_reactor.py`**: Tests for the `QuantumReactor` class.\n- **[`CONTRIBUTING.md`](CONTRIBUTING.md )**: Provides guidelines for contributing to the project.\n- **[`docs`](docs )**: Directory for documentation files.\n  - **`The_Foundation_of_Resonant_Harmonics.pdf`**: PDF file containing information on the findings and base equation.\n  - **`average_complexity_over_time.png`**: Image file.\n  - **`complexity_over_time.png`**: Image file.\n\n\n## Usage Examples\n\n**Mathematical Constants**\n\n```python\nimport numpy as np\nfrom harmonic_balancer import HarmonicBalancer\n\ndef pi_objective_function(vector, param):\n    return np.sum(vector) * np.pi\n\nbalancer = HarmonicBalancer(num_qubits=4, max_iterations=100, harmony_memory_size=10, objective_function=pi_objective_function)\nbest_solution, best_score = balancer.run_experiment()\n\nprint(\"Best solution:\", best_solution)\nprint(\"Best score:\", best_score)\n```\n\n**Scientific Applications**\n\n```python\nimport numpy as np\nfrom harmonic_balancer import HarmonicBalancer\n\ndef exp_objective_function(vector, param):\n    return np.sum(np.exp(vector))\n\nbalancer = HarmonicBalancer(num_qubits=4, max_iterations=100, harmony_memory_size=10, objective_function=exp_objective_function)\nbest_solution, best_score = balancer.run_experiment()\n\nprint(\"Best solution:\", best_solution)\nprint(\"Best score:\", best_score)\n```\n\n**Musical Applications**\n\n```python\nimport numpy as np\nfrom harmonic_balancer import HarmonicBalancer\n\ndef sine_objective_function(vector, param):\n    return np.sum(np.sin(vector))\n\nbalancer = HarmonicBalancer(num_qubits=4, max_iterations=100, harmony_memory_size=10, objective_function=sine_objective_function)\nbest_solution, best_score = balancer.run_experiment()\n\nprint(\"Best solution:\", best_solution)\nprint(\"Best score:\", best_score)\n```\n\n**Image Processing**\n\n```python\nimport numpy as np\nfrom harmonic_balancer import HarmonicBalancer\n\ndef image_processing_objective_function(vector, param):\n    # Simulate an image processing function\n    return np.sum(vector) * 255  # Example: scaling pixel values\n\nbalancer = HarmonicBalancer(num_qubits=4, max_iterations=100, harmony_memory_size=10, objective_function=image_processing_objective_function)\nbest_solution, best_score = balancer.run_experiment()\n\nprint(\"Best solution:\", best_solution)\nprint(\"Best score:\", best_score)\n```\n\n## Web Application\n \n **Setting Up The Web Application**\n  To set up the web application, follow these steps:\n\n    1. Install Dependencies: Ensure all dependencies are installed\n\nTo install the required dependencies, run:\n\n```sh\npip install -r requirements.txt\n```\n\n\n    2. Run the Flask Application\n\n```\npython app.py\n```\n    3. Access the Frontend: Open your browser and go to http://127.0.0.1:5000/ to access the frontend\n\n# Running Tests via the Web Interface\n  \n  1. **Open the Web Interface**: Go to http://127:.0.0.1:5000/ in your web browser.\n  2. **Run Tests**: Click the \"Run All Tests\" button to start the tests\n  3. **View Results**: The test results will be displayed in the \"Test Results\" section on the page.\n\n## Testing\n\nRun the tests using:\n\n```sh\npython -m unitest descover tests\n```\n\n## Contributing\n\nIf you would like to contribute to this project, please fork the repository and sumbit a pull request.\n\n## License\n\nThis project is Licensed under the MIT License\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdxns-hub%2Fharmonic-balancer-project","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdxns-hub%2Fharmonic-balancer-project","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdxns-hub%2Fharmonic-balancer-project/lists"}