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199 changes: 199 additions & 0 deletions .gitignore
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# File created using '.gitignore Generator' for Visual Studio Code: https://bit.ly/vscode-gig

# Created by https://www.toptal.com/developers/gitignore/api/visualstudiocode,macos,jupyternotebooks,python
# Edit at https://www.toptal.com/developers/gitignore?templates=visualstudiocode,macos,jupyternotebooks,python

### JupyterNotebooks ###
# gitignore template for Jupyter Notebooks
# website: http://jupyter.org/

.ipynb_checkpoints
*/.ipynb_checkpoints/*

# IPython
profile_default/
ipython_config.py

# Remove previous ipynb_checkpoints
# git rm -r .ipynb_checkpoints/

### macOS ###
# General
.DS_Store
.AppleDouble
.LSOverride

# Icon must end with two \r
Icon

# Thumbnails
._*

# Files that might appear in the root of a volume
.DocumentRevisions-V100
.fseventsd
.Spotlight-V100
.TemporaryItems
.Trashes
.VolumeIcon.icns
.com.apple.timemachine.donotpresent

# Directories potentially created on remote AFP share
.AppleDB
.AppleDesktop
Network Trash Folder
Temporary Items
.apdisk

### Python ###
# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class

# C extensions
*.so

# Distribution / packaging
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
pip-wheel-metadata/
share/python-wheels/
*.egg-info/
.installed.cfg
*.egg
MANIFEST

# PyInstaller
# Usually these files are written by a python script from a template
# before PyInstaller builds the exe, so as to inject date/other infos into it.
*.manifest
*.spec

# Installer logs
pip-log.txt
pip-delete-this-directory.txt

# Unit test / coverage reports
htmlcov/
.tox/
.nox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
*.py,cover
.hypothesis/
.pytest_cache/
pytestdebug.log

# Translations
*.mo
*.pot

# Django stuff:
*.log
local_settings.py
db.sqlite3
db.sqlite3-journal

# Flask stuff:
instance/
.webassets-cache

# Scrapy stuff:
.scrapy

# Sphinx documentation
docs/_build/
doc/_build/

# PyBuilder
target/

# Jupyter Notebook

# IPython

# pyenv
.python-version

# pipenv
# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
# However, in case of collaboration, if having platform-specific dependencies or dependencies
# having no cross-platform support, pipenv may install dependencies that don't work, or not
# install all needed dependencies.
#Pipfile.lock

# PEP 582; used by e.g. github.com/David-OConnor/pyflow
__pypackages__/

# Celery stuff
celerybeat-schedule
celerybeat.pid

# SageMath parsed files
*.sage.py

# Environments
.env
.venv
env/
venv/
ENV/
env.bak/
venv.bak/
pythonenv*

# Spyder project settings
.spyderproject
.spyproject

# Rope project settings
.ropeproject

# mkdocs documentation
/site

# mypy
.mypy_cache/
.dmypy.json
dmypy.json

# Pyre type checker
.pyre/

# pytype static type analyzer
.pytype/

# profiling data
.prof

### VisualStudioCode ###
.vscode/*
!.vscode/tasks.json
!.vscode/launch.json
*.code-workspace

### VisualStudioCode Patch ###
# Ignore all local history of files
.history
.ionide

# End of https://www.toptal.com/developers/gitignore/api/visualstudiocode,macos,jupyternotebooks,python

# Custom rules (everything added below won't be overriden by 'Generate .gitignore File' if you use 'Update' option)

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53 changes: 53 additions & 0 deletions tests/test_sagital_history.py
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import numpy as np

def test_basic():
# Make new output file
data_input = np.zeros((20, 20))
data_input[-1, :] = 1
np.savetxt("brain_sample.csv", data_input, fmt='%d', delimiter=',')

# Run sagital brain file to generate output
exec(open("sagital_brain.py").read())

# Load output
loaded = np.loadtxt('brain_average.csv', delimiter=',')

# Expected output
expected = np.array([0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,1.0])

# Check the values are identical
np.testing.assert_array_equal(loaded, expected)


def test_better():
data_input = np.zeros((20, 20))
data_input[-1, :] = 1
np.savetxt("brain_sample.csv", data_input, fmt='%d', delimiter=',')



'''

import subprocess
import numpy as np

# generated data
data_input = np.zeros((20, 20))
data_input[-1, :] = 1
np.savetxt("brain_sample.csv", data_input, fmt='%d', delimiter=',')

# run
subprocess.run(["python", "sagital_brain.py"])

# read output to then compare
result = np.loadtxt('brain_average.csv', delimiter=',')

# Generate an expected result

expected = np.zeros(20)
expected[-1] = 1

np.testing.assert_array_equal(result, expected) # error if it fails

'''