sequential-parameter-optimization/spotRiver

Sequential Parameter Optimization for River

spotriver

Development

Styleguide

Follow the Google Python Style Guide from https://google.github.io/styleguide/pyguide.html.

Pre commit checks

Before you commit your code, please check that it is "clean". To do so, first run black from the projects root directory:

$ black .

Next, check if flake8 shows any errors:

$ flake8

Fix any shown errors before you commit.

Installation

github

• Clone the github repository.

Python

• Mac Users: Install brew

  • brew install python and brew install graphviz etc.

• Generate and activate a virtual environment, see venv, e.g.,

  • cd ~; python3 -m venv .venv
  • source ~/.venv/bin/activate

Python mkdocs

• python -m pip install mkdocs mkdocs-gen-files mkdocs-literate-nav mkdocs-section-index mkdocs-material
• mkdocs build
• mkdocs serve
• http://127.0.0.1:8000/

Optimizing/Profiling Code

• scipy lecture notes: optimizing code

https://scipy-lectures.org/advanced/optimizing/index.html

Editor/IDE

• Optional: Install visualstudio
• Optional: Install quarto

Package Installation

Configuration Files

• This information is based on https://packaging.python.org/en/latest/tutorials/packaging-projects/
• Information is stored in pyproject.toml (setup.py is not used anymore.)
• A src folder is used for the package sources.
• The following files are used for the package building:
  • pyproject.toml: see pyproject.toml.
  • Important: Follow the instructions from https://setuptools.pypa.io/en/latest/userguide/pyproject_config.html for including data files (like *.csv, *.tar, etc.). These files can be specified in the following MANIFEST file:
    • MANIFEST: see MANIFEST. It describes the data files to be included, e.g.:
      • include src/spotriver/data/*.rst
  • LICENSE: see LICENSE

Installation

• Perform the following steps to install the package:
  • Make sure you have the latest version of PyPA’s build installed:
    • python3 -m pip install --upgrade build
  • Start the package building process via: python3 -m build
  • This command should output a lot of text and once completed should generate two files in the dist directory.
  • You can use the local spotriver*.tar.gz file from the dist folder for your package installation with pip, e.g.;
  • python3 -m pip install ./dist/spotriver-*.tar.gz