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Update note about HCP compatibility (#1465)
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README.rst

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@@ -60,7 +60,13 @@ parcellated time series, functional connectivity matrices, and quality assessmen
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data-releases>`_,
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and `UK Biobank <https://doi.org/10.1016/j.neuroimage.2017.10.034>`_ data.
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*Please note that XCP is only compatible with HCP-YA versions downloaded c.a. Feb 2023 at the moment.*
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.. important::
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Please note that *XCP-D* is only compatible with HCP-YA data released around February 2023.
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This is because the HCP-YA data was not versioned at the time of release,
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and we have to pin to a specific release date.
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We cannot guarantee that *XCP-D* will work with other versions of the HCP-YA data,
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or with data from other HCP projects.
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.. image:: https://raw.githubusercontent.com/pennlinc/xcp_d/main/docs/_static/xcp_figure_1.png
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xcp_d/ingression/hcpya.py

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# vi: set ft=python sts=4 ts=4 sw=4 et:
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"""Functions for converting HCP-YA-format data to fMRIPrep format.
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These functions are specifically designed to work with HCP-YA data downloaded around Feb 2023.
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These functions are specifically designed to work with HCP-YA data from the release available in
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February 2023.
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Because HCP-YA doesn't really version their processing pipeline and derivatives,
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we have to pin to download periods.
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"""

xcp_d/tests/test_smoothing.py

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@@ -75,9 +75,9 @@ def test_smoothing_nifti(fmriprep_without_freesurfer_data):
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return
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def test_smoothing_cifti(ds001419_data, tmp_path_factory, sigma_lx=None):
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def test_smoothing_cifti(ds001419_data, tmp_path_factory):
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"""Test CIFTI smoothing."""
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sigma_lx = fwhm2sigma(6) if sigma_lx is None else sigma_lx
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sigma_lx = fwhm2sigma(6)
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tmpdir = tmp_path_factory.mktemp('test_smoothing_cifti')
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in_file = ds001419_data['cifti_file']

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