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.DS_Store |
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BSD 3-Clause License | ||
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Copyright (c) 2021, Lifespan Informatics and Neuroimaging Center | ||
All rights reserved. | ||
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Redistribution and use in source and binary forms, with or without | ||
modification, are permitted provided that the following conditions are met: | ||
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1. Redistributions of source code must retain the above copyright notice, this | ||
list of conditions and the following disclaimer. | ||
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2. Redistributions in binary form must reproduce the above copyright notice, | ||
this list of conditions and the following disclaimer in the documentation | ||
and/or other materials provided with the distribution. | ||
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3. Neither the name of the copyright holder nor the names of its | ||
contributors may be used to endorse or promote products derived from | ||
this software without specific prior written permission. | ||
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THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" | ||
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE | ||
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE | ||
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE | ||
FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL | ||
DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR | ||
SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER | ||
CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, | ||
OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE | ||
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. |
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# TheWay | ||
Boilerplate scripts for running workflows on Penn clusters |
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#!/bin/bash | ||
#$ -l h_vmem=25G | ||
#$ -R y | ||
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# Adds output files to archive so thier filestubs are accessible by users | ||
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# Set up the correct conda environment | ||
source ${CONDA_PREFIX}/bin/activate base | ||
echo I\'m in $PWD using `which python` | ||
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cd ${PWD} | ||
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BOOTSTRAP_DIR=$1 | ||
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# clone output ria of bootstrap dir | ||
datalad clone ria+file:///${BOOTSTRAP_DIR}/output_ria#~data archive_clone | ||
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# cd into clone | ||
cd archive_clone | ||
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for zip in *.zip; do | ||
echo Adding archive content for ${zip} | ||
datalad get ${zip} | ||
datalad add-archive-content -e 'logs/.*' -e '.bidsignore' -e 'dataset_description.json' -e 'dwiqc.json' --drop-after ${zip} | ||
done | ||
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datalad push |
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#!/bin/bash | ||
#$ -l h_vmem=25G | ||
#$ -R y | ||
# Set up the correct conda environment | ||
source ${CONDA_PREFIX}/bin/activate base | ||
echo I\'m in $PWD using `which python` | ||
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SUBJECTIDCSV=/cbica/projects/RBC/testing/hcpd/hcpd_subject_ids.csv | ||
S3CSV=/cbica/projects/RBC/testing/hcpd/hcpd_s3.csv | ||
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# create HCPD datalad dataset | ||
datalad create -c text2git HCPD | ||
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# cd into HCPD datalad dataset | ||
cd HCPD | ||
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# initialize git annex remote | ||
git annex initremote datalad type=external externaltype=datalad encryption=none autoenable=true | ||
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# get the dataset config file from github | ||
wget https://raw.githubusercontent.com/TobiasKadelka/build_hcp/master/code/cfg_hcp_dataset.sh | ||
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# get list of subject IDs and run addurls for each subject | ||
SUBJECTS=$(cut -d, -f1 ${SUBJECTIDCSV}) | ||
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# heredoc for subject csv creator | ||
cat > get_subject_csv.py << "EOT" | ||
#!/usr/bin/env python | ||
""" | ||
USAGE: | ||
python participant_csv.py subid | ||
Run this inside of participant_job.sh | ||
Creates csv for one single participant | ||
""" | ||
import pandas as pd | ||
import sys | ||
hcpdcsv = sys.argv[1] | ||
subid = sys.argv[2] | ||
df = pd.read_csv(hcpdcsv) | ||
df2=df[df.filename.str.startswith(subid)] | ||
df3 = df2.drop_duplicates(subset ="filename", keep = 'first', ignore_index=True) | ||
df3.to_csv("/cbica/projects/RBC/testing/hcpd/subject_csvs/" + subid + ".csv", index=False) | ||
EOT | ||
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chmod +x get_subject_csv.py | ||
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datalad save -m "Added python file to create subject CSVs and HCPD dataset config" | ||
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for subject in ${SUBJECTS}; do | ||
echo Creating subject csv for ${subject} | ||
python get_subject_csv.py ${S3CSV} ${subject} | ||
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echo Adding URLS for ${subject} | ||
datalad addurls -c hcp_dataset -d ${subject} ~/testing/hcpd/subject_csvs/${subject}.csv '{associated_file}' '{filename}' | ||
datalad save -m "Added URLs for ${subject}" | ||
done |
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