Base pyworkflow plugin for Electron Diffraction image processing
scipion-ed is the base plugin defining the Domain for Electron Diffraction image processing.
For using scipion-ed, we need to have a working Python 3 environment (e.g via virtualenv or conda). After that, we might easily install by:
pip install scipion-ed scipion-ed-dials
For development, we probably want to download the source code and install from there. In that way changes can be made and we can test it quickly. We also need a working Python 3 environment and we recommend to create a development folder to download the source code.
# Create a folder for the installation mkdir scipion-ed-dev cd scipion-ed-dev # Then we can install scipion-ed by: git clone firstname.lastname@example.org:scipion-ed/scipion-ed.git python -m pip install -e scipion-ed # Install in the environment as development # And also install the plugins git clone email@example.com:scipion-ed/scipion-ed-dials.git python -m pip install -e scipion-ed-dials # Install in the environment as development
Publishing the package to PyPI
In order to make scipion-ed available to install with pip install scipion-ed, we need to:
python install twine restructuredtext-lint cd scipion-ed # It might be a good idea to check the README.rst before uploading: rst-lint README.rst python setup.py sdist twine upload dist/scipion-ed-0.0.1a3.tar.gz
Running tests (TO BE UPDATED)
cd scipion-ed cd pwed/tests python -m unittest discover # To visualize the test project you need to specify SCIPION_DOMAIN and SCIPION_VERSION export SCIPION_DOMAIN=scipion-ed/pwed export SCIPION_VERSION=3.0.0 python scipion-pyworkflow/pyworkflow/apps/pw_project.py TestEdBaseProtocols
Python 3 environments (TO BE UPDATED)
For development, we probably want to download the source code and install from there. In that way changes can be made and we can test it quickly.
We also need a working Python 3 environment and we recommend to create a development folder to download the source code.
# Create a clean virtual environment python -m virtualenv --python=python3 env source env/bin/activate
If you get “error: command ‘x86_64-linux-gnu-gcc’ failed with exit status 1” you may need to install python3-dev: sudo apt install python3-dev -y
Tkinter with Python3
Tkinter with Conda
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