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maint: add crediting details
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‎.zenodo.json

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{
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"title": "dMRIPrep: a robust preprocessing pipeline for diffusion MRI",
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"description": "<p>dMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse dMRI data. The transparent workflow dispenses of manual intervention, thereby ensuring the reproducibility of the results.</p>",
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"creators": [
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{
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"affiliation": "Stanford University",
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"name": "Lerma-Usabiaga, Garikoitz",
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"orcid": "0000-0001-9800-4816"
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},
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{
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"affiliation": "The University of Washington eScience Institute",
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"name": "Keshavan, Anisha",
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"orcid": "0000-0003-3554-043X"
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},
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{
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"affiliation": "The University of Washington eScience Institute",
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"name": "Richie-Halford, Adam",
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"orcid": "0000-0001-9276-9084"
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},
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{
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"affiliation": "The University of Washington eScience Institute",
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"name": "Rokem, Ariel",
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"orcid": "0000-0003-0679-1985"
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},
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{
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"affiliation": "Department of Psychology, Stanford University, CA, USA",
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"name": "Esteban, Oscar",
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"orcid": "0000-0001-8435-6191"
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}
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],
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"contributors": [
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{
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"affiliation": "The Centre for Addiction and Mental Health",
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"name": "Joseph, Michael",
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"orcid": "0000-0002-0068-230X",
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"type": "Researcher"
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},
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{
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"name": "nrajamani3",
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"type": "Researcher"
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}
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],
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"keywords": [
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"neuroimaging",
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"workflow",
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"pipeline",
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"preprocessing",
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"dMRI",
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"BIDS"
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],
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"license": "Apache-2.0",
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"related_identifiers": [
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{
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"identifier": "http://dmriprep.org",
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"relation": "isPartOf",
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"scheme": "url"
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},
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{
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"identifier": "10.1038/s41592-018-0235-4",
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"relation": "isPartOf",
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"scheme": "doi"
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}
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],
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"upload_type": "software"
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}

‎dmriprep/__about__.py

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# emacs: -*- mode: python; py-indent-offset: 4; indent-tabs-mode: nil -*-
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# vi: set ft=python sts=4 ts=4 sw=4 et:
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"""Base module variables."""
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from ._version import get_versions
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__version__ = get_versions()['version']
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del get_versions
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__packagename__ = 'dmriprep'
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__copyright__ = 'Copyright 2019, The dMRIPrep developers'
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__credits__ = ('Contributors: please check the ``.zenodo.json`` file at the top-level folder'
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'of the repository')
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__url__ = 'https://github.com/nipreps/dmriprep'
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DOWNLOAD_URL = (
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'https://github.com/nipreps/{name}/archive/{ver}.tar.gz'.format(
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name=__packagename__, ver=__version__))

‎dmriprep/__init__.py

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# -*- coding: utf-8 -*-
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"""Top-level package for dmriprep."""
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import warnings as _warnings
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from .__about__ import (
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__version__,
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__copyright__,
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__credits__,
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__packagename__,
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)
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__author__ = """Anisha Keshavan"""
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__email__ = '[email protected]'
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__version__ = '0.1.0'
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import errno
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import logging
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import os
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import warnings
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# Filter warnings that are visible whenever you import another package that
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# was compiled against an older numpy than is installed.
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warnings.filterwarnings("ignore", message="numpy.dtype size changed")
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warnings.filterwarnings("ignore", message="numpy.ufunc size changed")
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from . import data
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from . import io
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from . import qc
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from . import run
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module_logger = logging.getLogger(__name__)
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# get the log level from environment variable
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if "DMIRPREP_LOGLEVEL" in os.environ:
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loglevel = os.environ['DMRIPREP_LOGLEVEL']
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module_logger.setLevel(getattr(logging, loglevel.upper()))
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else:
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module_logger.setLevel(logging.WARNING)
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# create a file handler
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logpath = os.path.join(os.path.expanduser('~'), '.dmriprep', 'dmriprep.log')
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# Create the config directory if it doesn't exist
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logdir = os.path.dirname(logpath)
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try:
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os.makedirs(logdir)
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except OSError as e:
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pre_existing = (e.errno == errno.EEXIST and os.path.isdir(logdir))
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if pre_existing:
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pass
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else:
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raise e
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handler = logging.FileHandler(logpath, mode='w')
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handler.setLevel(logging.DEBUG)
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# create a logging format
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formatter = logging.Formatter(
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'%(asctime)s - %(name)s - %(levelname)s - %(message)s'
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)
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handler.setFormatter(formatter)
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__all__ = [
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'__version__',
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'__copyright__',
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'__credits__',
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'__packagename__',
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]
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# add the handlers to the logger
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module_logger.addHandler(handler)
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module_logger.info('Started new dmriprep session')
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# cmp is not used by fmriprep, so ignore nipype-generated warnings
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_warnings.filterwarnings('ignore', r'cmp not installed')
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_warnings.filterwarnings('ignore', r'This has not been fully tested. Please report any failures.')
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_warnings.filterwarnings('ignore', r"can't resolve package from __spec__ or __package__")
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_warnings.simplefilter('ignore', DeprecationWarning)
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_warnings.simplefilter('ignore', ResourceWarning)

‎setup.cfg

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[metadata]
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url = https://github.com/nipreps/dmriprep
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author = The Nipy developers
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author = The dMRIPrep developers
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author_email = [email protected]
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maintainer = Oscar Esteban
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maintainer_email = [email protected]

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