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22 changes: 22 additions & 0 deletions .devcontainer/Dockerfile
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# See here for image contents: https://github.com/microsoft/vscode-dev-containers/tree/v0.148.1/containers/python-3/.devcontainer/base.Dockerfile

# [Choice] Python version: 3, 3.9, 3.8, 3.7, 3.6
ARG VARIANT="3"
FROM mcr.microsoft.com/vscode/devcontainers/python:0-${VARIANT}

# [Option] Install Node.js
ARG INSTALL_NODE="true"
ARG NODE_VERSION="lts/*"
RUN if [ "${INSTALL_NODE}" = "true" ]; then su vscode -c "source /usr/local/share/nvm/nvm.sh && nvm install ${NODE_VERSION} 2>&1"; fi

# [Optional] If your pip requirements rarely change, uncomment this section to add them to the image.
# COPY requirements.txt /tmp/pip-tmp/
# RUN pip3 --disable-pip-version-check --no-cache-dir install -r /tmp/pip-tmp/requirements.txt \
# && rm -rf /tmp/pip-tmp

# [Optional] Uncomment this section to install additional OS packages.
# RUN apt-get update && export DEBIAN_FRONTEND=noninteractive \
# && apt-get -y install --no-install-recommends <your-package-list-here>

# [Optional] Uncomment this line to install global node packages.
# RUN su vscode -c "source /usr/local/share/nvm/nvm.sh && npm install -g <your-package-here>" 2>&1
44 changes: 44 additions & 0 deletions .devcontainer/devcontainer.json
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{
"name": "Python 3",
"build": {
"dockerfile": "Dockerfile",
"context": "..",
"args": {
// Update 'VARIANT' to pick a Python version: 3, 3.6, 3.7, 3.8, 3.9
"VARIANT": "3",
// Options
"INSTALL_NODE": "false"
}
},

// Set *default* container specific settings.json values on container create.
"settings": {
"terminal.integrated.shell.linux": "/bin/bash",
"python.pythonPath": "/usr/local/bin/python",
"python.linting.enabled": true,
"python.linting.pylintEnabled": true,
"python.formatting.autopep8Path": "/usr/local/py-utils/bin/autopep8",
"python.formatting.blackPath": "/usr/local/py-utils/bin/black",
"python.formatting.yapfPath": "/usr/local/py-utils/bin/yapf",
"python.linting.banditPath": "/usr/local/py-utils/bin/bandit",
"python.linting.flake8Path": "/usr/local/py-utils/bin/flake8",
"python.linting.mypyPath": "/usr/local/py-utils/bin/mypy",
"python.linting.pycodestylePath": "/usr/local/py-utils/bin/pycodestyle",
"python.linting.pydocstylePath": "/usr/local/py-utils/bin/pydocstyle",
"python.linting.pylintPath": "/usr/local/py-utils/bin/pylint"
},

// Add the IDs of extensions you want installed when the container is created.
"extensions": [
"ms-python.python"
],

// Use 'forwardPorts' to make a list of ports inside the container available locally.
// "forwardPorts": [],

// Use 'postCreateCommand' to run commands after the container is created.
"postCreateCommand": "pip3 install --user -r requirements.txt",

// Comment out connect as root instead. More info: https://aka.ms/vscode-remote/containers/non-root.
"remoteUser": "vscode"
}
203 changes: 203 additions & 0 deletions .gitignore
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# Created by https://www.toptal.com/developers/gitignore/api/vscode,python,macos,vim
# Edit at https://www.toptal.com/developers/gitignore?templates=vscode,python,macos,vim

### 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
.ipynb_checkpoints

# IPython
profile_default/
ipython_config.py

# 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

### Vim ###
# Swap
[._]*.s[a-v][a-z]
!*.svg # comment out if you don't need vector files
[._]*.sw[a-p]
[._]s[a-rt-v][a-z]
[._]ss[a-gi-z]
[._]sw[a-p]

# Session
Session.vim
Sessionx.vim

# Temporary
.netrwhist
*~
# Auto-generated tag files
tags
# Persistent undo
[._]*.un~

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

# End of https://www.toptal.com/developers/gitignore/api/vscode,python,macos,vim
15 changes: 15 additions & 0 deletions .vscode/launch.json
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{
// Use IntelliSense to learn about possible attributes.
// Hover to view descriptions of existing attributes.
// For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387
"version": "0.2.0",
"configurations": [
{
"name": "Python: Current File",
"type": "python",
"request": "launch",
"program": "${file}",
"console": "integratedTerminal"
}
]
}
1 change: 0 additions & 1 deletion brain_average.csv

This file was deleted.

40 changes: 20 additions & 20 deletions brain_sample.csv
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1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20
2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21
3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22
4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23
5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24
6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25
7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26
8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27
9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28
10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29
11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30
12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31
13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32
14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33
15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34
16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35
17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36
18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37
19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38
20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39
0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
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0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
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0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1
1 change: 1 addition & 0 deletions sagital_average/__init__.py
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from .sagital_brain import run_averages
1 change: 1 addition & 0 deletions sagital_average/brain_average.csv
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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
20 changes: 20 additions & 0 deletions sagital_average/brain_sample.csv
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0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
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0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
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0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
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0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
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0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
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0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1
12 changes: 12 additions & 0 deletions sagital_average/command.py
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from argparse import ArgumentParser, ArgumentDefaultsHelpFormatter
import sagital_brain

def process():
parser = ArgumentParser(description="Calculates the average for each sagital-horizontal plane.",
formatter_class=ArgumentDefaultsHelpFormatter)
parser.add_argument('file_input', nargs='?', default="brain_sample.csv",
help="Input CSV file with the results from scikit-brain binning algorithm.")
parser.add_argument('--file_output', '-o', default="brain_average.csv",
help="Name of the output CSV file.")
arguments = parser.parse_args()
sagital_brain.run_averages(arguments.file_input, arguments.file_output)
1 change: 1 addition & 0 deletions sagital_average/requirements.txt
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numpy
21 changes: 21 additions & 0 deletions sagital_average/sagital_brain.py
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import numpy as np

def run_averages(file_input='brain_sample.csv', file_output='brain_average.csv'):
"""
Calculates the average through the coronal planes
The input file should has as many columns as coronal planes
The rows are intersections of the sagital/horizontal planes

The result is the average for each sagital/horizontal plane (rows)
"""
# Open the file to analyse
planes = np.loadtxt(file_input, dtype=int, delimiter=',')

# Calculates the averages through the sagital/horizontal planes
# and makes it as a row vector
averages = planes.mean(axis=1)[np.newaxis, :]

# write it out on my file
np.savetxt(file_output, averages, fmt='%.1f', delimiter=',')


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