Skip to content
Permalink
master
Switch branches/tags

Name already in use

A tag already exists with the provided branch name. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. Are you sure you want to create this branch?
Go to file
 
 
Cannot retrieve contributors at this time
You are using fMRIPrep-1.5.9, and a newer version of fMRIPrep is available: 20.0.5.
Please check out our documentation about how and when to upgrade:
https://fmriprep.readthedocs.io/en/latest/faq.html#upgrading
Although ``--fs-no-reconall`` was not set (i.e., FreeSurfer is to be run), no FreeSurfer output space (valid values are: fsaverage5, fsaverage6, fsaverage, fsnative) was selected. Adding default "fsaverage5" to the list of output spaces.
Downloading https://templateflow.s3.amazonaws.com/tpl-OASIS30ANTs/tpl-OASIS30ANTs_res-01_T1w.nii.gz
0%| | 0.00/31.6k [00:00<?, ?B/s] 5%|▌ | 1.71k/31.6k [00:00<00:01, 16.7kB/s] 34%|███▎ | 10.6k/31.6k [00:00<00:00, 22.0kB/s] 68%|██████▊ | 21.3k/31.6k [00:00<00:00, 28.9kB/s] 31.6kB [00:00, 79.5kB/s]
Downloading https://templateflow.s3.amazonaws.com/tpl-OASIS30ANTs/tpl-OASIS30ANTs_res-01_label-brain_probseg.nii.gz
0%| | 0.00/2.53k [00:00<?, ?B/s] 47%|████▋ | 1.19k/2.53k [00:00<00:00, 11.6kB/s] 2.53kB [00:00, 18.8kB/s]
Downloading https://templateflow.s3.amazonaws.com/tpl-OASIS30ANTs/tpl-OASIS30ANTs_res-01_desc-BrainCerebellumExtraction_mask.nii.gz
0%| | 0.00/258 [00:00<?, ?B/s] 259B [00:00, 5.96kB/s]
Downloading https://templateflow.s3.amazonaws.com/tpl-MNI152NLin2009cAsym/tpl-MNI152NLin2009cAsym_res-02_desc-fMRIPrep_boldref.nii.gz
0%| | 0.00/1.71k [00:00<?, ?B/s] 44%|████▎ | 748/1.71k [00:00<00:00, 7.39kB/s] 1.71kB [00:00, 13.6kB/s]
Downloading https://templateflow.s3.amazonaws.com/tpl-MNI152NLin2009cAsym/tpl-MNI152NLin2009cAsym_res-02_desc-brain_mask.nii.gz
0%| | 0.00/28.0 [00:00<?, ?B/s] 29.0B [00:00, 2.73kB/s]
Downloading https://templateflow.s3.amazonaws.com/tpl-MNI152NLin2009cAsym/tpl-MNI152NLin2009cAsym_res-01_desc-carpet_dseg.nii.gz
0%| | 0.00/440 [00:00<?, ?B/s] 441B [00:00, 7.42kB/s]
Downloading https://templateflow.s3.amazonaws.com/tpl-MNI152NLin2009cAsym/tpl-MNI152NLin2009cAsym_res-01_T1w.nii.gz
0%| | 0.00/13.4k [00:00<?, ?B/s] 9%|▊ | 1.16k/13.4k [00:00<00:01, 10.9kB/s] 61%|██████ | 8.11k/13.4k [00:00<00:00, 14.2kB/s] 13.4kB [00:00, 43.9kB/s]
Downloading https://templateflow.s3.amazonaws.com/tpl-MNI152NLin2009cAsym/tpl-MNI152NLin2009cAsym_res-01_desc-brain_mask.nii.gz
0%| | 0.00/155 [00:00<?, ?B/s] 156B [00:00, 3.73kB/s] Downloading https://templateflow.s3.amazonaws.com/tpl-MNI152NLin2009cAsym/tpl-MNI152NLin2009cAsym_res-02_desc-DKT31_dseg.nii.gz
0%| | 0.00/89.0 [00:00<?, ?B/s] 90.0B [00:00, 3.03kB/s] /usr/local/miniconda/lib/python3.7/site-packages/matplotlib/contour.py:1173: UserWarning: No contour levels were found within the data range.
warnings.warn("No contour levels were found"
/usr/local/miniconda/lib/python3.7/site-packages/matplotlib/contour.py:1173: UserWarning: No contour levels were found within the data range.
warnings.warn("No contour levels were found"
/usr/local/miniconda/lib/python3.7/site-packages/matplotlib/contour.py:1173: UserWarning: No contour levels were found within the data range.
warnings.warn("No contour levels were found"
/usr/local/miniconda/lib/python3.7/site-packages/matplotlib/contour.py:1173: UserWarning: No contour levels were found within the data range.
warnings.warn("No contour levels were found"
/usr/local/miniconda/lib/python3.7/site-packages/matplotlib/contour.py:1173: UserWarning: No contour levels were found within the data range.
warnings.warn("No contour levels were found"
/usr/local/miniconda/lib/python3.7/site-packages/matplotlib/contour.py:1173: UserWarning: No contour levels were found within the data range.
warnings.warn("No contour levels were found"
/usr/local/miniconda/lib/python3.7/site-packages/nilearn/image/resampling.py:513: UserWarning: Casting data from int32 to float32
warnings.warn("Casting data from %s to %s" % (data.dtype.name, aux))
/usr/local/miniconda/lib/python3.7/site-packages/nilearn/image/resampling.py:513: UserWarning: Casting data from int32 to float32
warnings.warn("Casting data from %s to %s" % (data.dtype.name, aux))
/usr/local/miniconda/lib/python3.7/site-packages/nilearn/image/resampling.py:513: UserWarning: Casting data from int32 to float32
warnings.warn("Casting data from %s to %s" % (data.dtype.name, aux))
/usr/local/miniconda/lib/python3.7/site-packages/nipype/algorithms/confounds.py:1182: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.
To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.
betas = np.linalg.lstsq(X, data.T)[0]
/usr/local/miniconda/lib/python3.7/site-packages/scipy/fftpack/basic.py:160: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.
z[index] = x
/usr/local/miniconda/lib/python3.7/site-packages/nipype/algorithms/confounds.py:1182: FutureWarning: `rcond` parameter will change to the default of machine precision times ``max(M, N)`` where M and N are the input matrix dimensions.
To use the future default and silence this warning we advise to pass `rcond=None`, to keep using the old, explicitly pass `rcond=-1`.
betas = np.linalg.lstsq(X, data.T)[0]
slurmstepd: Exceeded step memory limit at some point.