scipion-ed
scipion-ed is the base plugin defining the Domain for Electron Diffraction image processing.
Installation
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-dialsDevelopment
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 git@github.com: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 git@github.com:scipion-ed/scipion-ed-dials.git
python -m pip install -e scipion-ed-dials # Install in the environment as developmentPublishing 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-3.0.1.tar.gzRunning 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 TestEdBaseProtocolsPython 3 environments
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/activateIt is also possible to use a conda environment.
# Create the environment
conda create -n sped-dev python=3.8 pip
conda activate sped-devTroubleshooting
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
2 maintainers
Metadata
2 maintainers
Release files for scipion-ed 3!1.0.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| scipion-ed-3!1.0.0.tar.gz | 32.4 kB | Without provenance | Details |
Release files / scipion-ed-3!1.0.0.tar.gz
| Download URL | scipion-ed-3!1.0.0.tar.gz |
|---|---|
| Size | 32.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
152c176fddcfad6ed98bca10b018fe77bad59dc6430a02c282d2cf90e7cdb1ba
|
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BLAKE2b-256 checksum How to use checksums |
1f36527c7589d3f8152dacdc544cd307b148245e386ee1ef95ee8fc58d8e572f
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.3.0 pkginfo/1.7.1 requests/2.25.1 setuptools/58.0.4 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.12
|
Security for scipion-ed 3!1.0.0
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