Skip to main content

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.

Metadata

Release files for fsl-pyfeeds 0.9.5

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for fsl-pyfeeds 0.9.5
File Size Uploaded
fsl-pyfeeds-0.9.5.tar.gz 849.5 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for fsl-pyfeeds 0.9.5
File Interpreter ABI Platform
fsl_pyfeeds-0.9.5-py2.py3-none-any.whl Python 2, Python 3 none any Details

Total release size: 888.1 kB

Release files / fsl-pyfeeds-0.9.5.tar.gz

Download URL fsl-pyfeeds-0.9.5.tar.gz
Size 849.5 kB
Tags Source
SHA-256 checksum
How to use checksums
8526978b52f830e4b919d4f7725e40aa830c863eca757ce6b4bba66a1a69ae61
BLAKE2b-256 checksum
How to use checksums
ec3c8d0c0004240e9038af38f4fa47b0a8c469849dc9c5c192862b920017ac00
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.3.1 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.6.11

Release files / fsl_pyfeeds-0.9.5-py2.py3-none-any.whl

Download URL fsl_pyfeeds-0.9.5-py2.py3-none-any.whl
Size 38.6 kB
Tags Python 2 Python 3
SHA-256 checksum
How to use checksums
ab3c20f0706693f0c389302c51dd277bba1ccb65dc30051018eaeb5b46aab146
BLAKE2b-256 checksum
How to use checksums
2748c17634ecf0906d4d3eefffff62ceeddf8514c1535ebf8643c9e4b709c0e4
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/47.3.1 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.6.11

Release history Release notifications | RSS feed

This release

0.9.5 This release

2 release files

0.9.4

2 release files

0.9.3

2 release files

0.9.2

2 release files

0.9.1

2 release files

0.9.0

2 release files

0.8.1

2 release files

0.8.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page