mopa 2.2.1b0

Library for interactive multi-objective power amplifier design

mopa

Library for interactive multi-objective power amplifier design

I. Installation

A virtual environment manager is recommended. This example will use miniconda.

1. Download miniconda and ensure you can activate it from your terminal by running $ conda activate
2. Create an environment for mopa by running $ conda create --name mopa_env python=3.9
3. Activate the environment using $ conda activate mopa_env
4. Install the test verson of mopa using $ pip install mopa
5. To check that installation is successful $ pip show mopa

II. Dashboard

mopa now includes the ability to be used as an interactive dashboard!

1. Activate the mopa environment using $ conda activate mopa_env
2. Run python on the command line by running $ python
3. Import mopa >>> import mopa
4. Create a dashboard >>> app = mopa.app.create_dashboard()
5. Run the dashboard >>> app.run_server()

III. Contents

mopa
│   .gitattributes
│   .gitignore
│   config.ini
│   environment.yml: Conda environment
│   LICENSE
│   pyproject.toml
│   README.md
│   setup.cfg
│   setup.py
│
├───.github: Continuous integration
│   └───workflows
│           python-package-conda.yml
│
├───examples: Examples for using mopa
│   │   create_dashboard.py: Creating a dashboard
│   │   example_multi_device.py: Comparing multiple devices
│   │   example_single_device.py: Comparing a single device
│   │
│   └───io: Pre-computed inputs and outputs
│       ├───awr_runs
│       │       PAE_Qorvo_Sample_Data.txt
│       │       PAE_WIN_Sample_Data.txt
│       │       Pout_Qorvo_Sample_Data.txt
│       │       Pout_WIN_Sample_Data.txt
│       │
│       └───figures
│               multi_nondom.html
│               multi_robustness_metrics.html
│               single_nondom.html
│               single_objectives_only.html
│               single_robustness_metrics.html
│
└───src: Source code
    └───mopa
            analysis.py: Analysis code
            analysis_testing.py: Testing for analysis
            app.py: Dash app
            viz.py: Visualization
            __init__.py: Initialization