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Revert "better workflows to run with all the python versions"
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This reverts commit 6460a12.
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spirosmaggioros committed Sep 2, 2024
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46 changes: 9 additions & 37 deletions .github/workflows/codecov.yml
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@@ -1,42 +1,14 @@
name: codecov report

# workflow dispatch has been added for testing purposes
on: [push, pull_request, workflow_dispatch]
name: Test Coverage and Report to Codecov
on:
pull_request:
branches: ["main"]


jobs:
build:
runs-on: ["macos-13"]

codecov:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: actions/setup-python@v5
with:
python-version: "3.8"
- name: Set-up miniconda for macos and ubuntu
uses: conda-incubator/setup-miniconda@v2
with:
auto-update-conda: true
python-version: 3.8
miniconda-version: "latest"
- name: Create conda env
run: conda create -n spare python=3.8
- name: Install pip
run: conda run -n spare conda install pip
- name: Install spare scores
run: |
pip install setuptools twine wheel
python setup.py bdist_wheel
cd dist
WHEEL_FILE=$(ls spare_scores*)
pip install "$WHEEL_FILE"
- name: Download dependencies
run: pip install setuptools && pip install .
- name: Generate Coverage Report
run: |
pip install pytest-cov
cd tests/unit && pytest --cov=../../ --cov-report=xml
- name: Upload Coverage to Codecov
uses: codecov/[email protected]
- name: Upload coverage reports
uses: codecov/[email protected]
with:
token: ${{ secrets.CODECOV_TOKEN }}
slug: CBICA/spare_score
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name: macos tests
name: MacOS python=3.12

# workflow dispatch has been added for testing purposes
on: [push, pull_request, workflow_dispatch]

jobs:
build:
runs-on: ["macos-13"]
strategy:
matrix:
python-version: ["3.8", "3.9", "3.10", "3.11", "3.12"]
name: Python ${{ matrix.python-version }} sample

steps:
- uses: actions/checkout@v4
- uses: actions/setup-python@v5
with:
python-version: ${{ matrix.python-version }}
python-version: "3.12.4"
- name: Install spare scores
run: |
pip install -r dev-dependencies.txt
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42 changes: 42 additions & 0 deletions .github/workflows/macos_test_cases_p3-8.yml
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name: MacOS python=3.8

# workflow dispatch has been added for testing purposes
on: [push, pull_request, workflow_dispatch]

jobs:
build:
runs-on: ["macos-13"]

steps:
- uses: actions/checkout@v4
- uses: actions/setup-python@v5
with:
python-version: "3.8"
- name: Set-up miniconda for macos and ubuntu
uses: conda-incubator/setup-miniconda@v2
with:
auto-update-conda: true
python-version: 3.8
miniconda-version: "latest"
- name: Create conda env
run: conda create -n spare python=3.8
- name: Install pip
run: conda run -n spare conda install pip
- name: Install spare scores
run: |
pip install setuptools twine wheel
python setup.py bdist_wheel
cd dist
WHEEL_FILE=$(ls spare_scores*)
pip install "$WHEEL_FILE"
- name: Download dependencies
run: pip install setuptools && pip install .
- name: Generate Coverage Report
run: |
pip install pytest-cov
cd tests/unit && pytest --cov=../../ --cov-report=xml
- name: Upload Coverage to Codecov
uses: codecov/[email protected]
with:
token: ${{ secrets.CODECOV_TOKEN }}
slug: CBICA/spare_score
25 changes: 0 additions & 25 deletions .github/workflows/ubuntu-tests.yml

This file was deleted.

33 changes: 33 additions & 0 deletions .github/workflows/ubuntu_test_cases_p3-12.yml
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@@ -0,0 +1,33 @@
name: Ubuntu python=3.12

# workflow dispatch has been added for testing purposes
on: [push, pull_request, workflow_dispatch]

jobs:
build:
runs-on: ["ubuntu-latest"]

steps:
- uses: actions/checkout@v4
- uses: actions/setup-python@v5
with:
python-version: "3.12"
- name: Set-up miniconda for macos and ubuntu
uses: conda-incubator/setup-miniconda@v2
with:
auto-update-conda: true
python-version: 3.12
miniconda-version: "latest"
- name: Create conda env
run: conda create -n spare python=3.12
- name: Install pip
run: conda run -n spare conda install pip
- name: Install spare scores
run: |
pip install setuptools twine wheel
python -m pip install .
- name: Download dependencies
run: pip install setuptools && pip install .
- name: Run unit tests
run: |
cd tests/unit && python -m unittest discover -s . -p "*.py"
36 changes: 36 additions & 0 deletions .github/workflows/ubuntu_test_cases_p3-8.yml
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@@ -0,0 +1,36 @@
name: Ubuntu python=3.8

# workflow dispatch has been added for testing purposes
on: [push, pull_request, workflow_dispatch]

jobs:
build:
runs-on: ["ubuntu-latest"]

steps:
- uses: actions/checkout@v4
- uses: actions/setup-python@v5
with:
python-version: "3.8"
- name: Set-up miniconda for macos and ubuntu
uses: conda-incubator/setup-miniconda@v2
with:
auto-update-conda: true
python-version: 3.8
miniconda-version: "latest"
- name: Create conda env
run: conda create -n spare python=3.8
- name: Install pip
run: conda run -n spare conda install pip
- name: Install spare scores
run: |
pip install setuptools twine wheel
python setup.py bdist_wheel
cd dist
WHEEL_FILE=$(ls spare_scores*)
pip install "$WHEEL_FILE"
- name: Download dependencies
run: pip install setuptools && pip install .
- name: Run unit tests
run: |
cd tests/unit && python -m unittest discover -s . -p "*.py"
7 changes: 5 additions & 2 deletions README.md
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@@ -1,6 +1,9 @@
[![codecov](https://codecov.io/gh/CBICA/spare_score/graph/badge.svg?token=7yk7pkydHE)](https://codecov.io/gh/CBICA/spare_score)
![macos build](https://github.com/CBICA/spare_score/actions/workflows/macos-tests.yml/badge.svg)
![ubuntu build](https://github.com/CBICA/spare_score/actions/workflows/ubuntu-tests.yml/badge.svg)
![macos python=3.12 build](https://github.com/CBICA/spare_score/actions/workflows/macos_test_cases_p3-12.yml/badge.svg)
![macos python=3.8 build](https://github.com/CBICA/spare_score/actions/workflows/macos_test_cases_p3-12.yml/badge.svg)
![ubuntu python=3.12 build](https://github.com/CBICA/spare_score/actions/workflows/ubuntu_test_cases_p3-12.yml/badge.svg)
![ubuntu python=3.8 build](https://github.com/CBICA/spare_score/actions/workflows/ubuntu_test_cases_p3-8.yml/badge.svg)

# Compute SPARE Scores for Your Case

"SPARE" is short for "Spatial Pattern of Abnormalities for Recognition of ..." If you have brain images of a case population, such as the Alzheimer's disease (AD), the SPARE model will try to find characteristic brain patterns of AD with respect to a control population, such as cognitively normal. This would be an example of a classification-based SPARE model (currently powered by support vector machine or SVM). This model (that we named SPARE-AD) then computes SPARE-AD scores on an individual-basis that indicates how much the individual carries the learned brain patterns of AD.
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