pyteseo 0.0.5

Python package developed to simplify and facilitate the setup and processing of TESEO simulations (TESEO is a lagrangian numerical model developed by IHCantabria)

:warning: Package under development!

:soon: First usable version (v1.0.0) will be released soon!

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pyTESEO is a python package developed by IHCantabria to simplify and facilitate the setup and processing of TESEO simulations (TESEO is a lagrangian numerical model also developed by IHCantabria.)

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:computer: Installation

	Linux	MacOS	Windows
Required python version	>= 3.7	>= 3.7	>= 3.8

• From github repository using pip:

pip install git+https://github.com/IHCantabria/pyteseo
# To install extra dev dependencies: pip install git+https://github.com/IHCantabria/pyteseo[dev]
# Using editable mode: pip install -e git+https://github.com/IHCantabria/pyteseo[dev]

:warning: UNDER DEVELOPMENT :construction: - * From pypi using pip:

pip install pyteseo

:warning: UNDER DEVELOPMENT :construction: - * From conda-forge using conda:

conda install -c conda-forge pyteseo

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:heavy_check_mark: Testing & Coverage

Tests are located in pyteseo/tests/ and data required for tests are located in pyteseo/tests/data/. Tests have been developed using pytest.

Run tests to verify your package installation:

pyteseo-test        # Run tests and prompt pytest-report

If you have cloned the repository, you also can run coverage.py functionalities based on current pytproyect.toml configuration from your terminal command line interface:

# Commands should be executed from the root directory of the repo

coverage run        # For run tests and generate ".coverage" file
coverage report     # For prompt results from ".coverage" file
coverage html       # For generate html report on "htmlcov" folder

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:recycle: Continuous integration (CI)

• Build and deploy documentation on Github Pages in .github/workflows/docs.yml
• Install and test package in diferent environments in .github/workflows/tests.yml
• Precommit hooks for formats and linting in .pre-commit-config.yaml

For Linux, Windows, MacOS and compatible python versions defined in installation section

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:books: Documentation

Comprenhensive documentation is developed and mantained at https://ihcantabria.github.io/pyteseo

Documentation of all the package, usage and examples based on mockup input data are provided in Jupyter Notebooks format and ready to be used under Google Colab online platform.

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:copyright: Credits

Developed and maintained by :man_technologist: German Aragon @ :office: IHCantabria.

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