Skip to main content
Join the official 2019 Python Developers SurveyStart the survey!

FSL testing framework

Project description

pyfeeds

PyPi version Anaconda version Coverage report

The FSL Evaluation and Example Data Suite (FEEDS), now in Python!

pyfeeds (the FMRIB Evaluation and Example Data Suite) is a framework for running and managing tests for the FSL code base.

Test writers

If you want to write a test for your project, check out the page on how to write a pyfeeds test.

pyfeeds users

If you are going to be running pyfeeds tests, or are just interested, check out these pages:

Running the example tests

To run the examples included with pyfeeds, you will need FSL 5.0.9 or newer installed, and you will need to download the example and benchmark data sets from the pyfeeds git repository.

Use the following commands to run the tests:

exprs="*.nii.gz=evalImage"
exprs="$exprs:dti_V?.nii.gz=evalVectorImage"
exprs="$exprs:*.txt=evalNumericalText"
exprs="$exprs:*.mat=evalNumericalText"
pyfeeds run -e "$exprs" \
    -i exampleInputData \
    -b exampleBenchmarkData \
    -o exampleOutput examples

| Note that the FEAT example test may not pass for you, as different versions | of FSL may produce slightly different results.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for fsl-pyfeeds, version 0.9.3
Filename, size File type Python version Upload date Hashes
Filename, size fsl_pyfeeds-0.9.3-py2.py3-none-any.whl (37.5 kB) File type Wheel Python version py2.py3 Upload date Hashes View hashes
Filename, size fsl-pyfeeds-0.9.3.tar.gz (848.8 kB) File type Source Python version None Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page