error_fmriprep_3286875_4294967294.log

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: fsaverage6, fsnative, fsaverage, fsaverage5) was selected. Adding default "fsaverage5" to the list of output spaces.
/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
Downloading https://templateflow.s3.amazonaws.com/tpl-MNI152NLin2009cAsym/tpl-MNI152NLin2009cAsym_res-02_desc-DKT31_dseg.nii.gz

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90.0B [00:00, 2.95kB/s]                   /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/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]