+ dssource=ria+file:///data/project/QC_workflow/TMP/RIA_QCworkflow/inputstore#aae8905a-985f-46fb-91f5-35c772654ddd
+ pushgitremote=file:///data/project/QC_workflow/TMP/RIA_QCworkflow/aae/8905a-985f-46fb-91f5-35c772654ddd
+ subid=sub-cIIs00
+ export 'DUCT_OUTPUT_PREFIX=logs/duct/sub-cIIs00_{datetime_filesafe}-{pid}_'
+ DUCT_OUTPUT_PREFIX='logs/duct/sub-cIIs00_{datetime_filesafe}-{pid}_'
+ datalad clone ria+file:///data/project/QC_workflow/TMP/RIA_QCworkflow/inputstore#aae8905a-985f-46fb-91f5-35c772654ddd ds
[INFO] Attempting a clone into /var/lib/condor/execute/dir_3950062/ds 
[INFO] Attempting to clone from file:///data/project/QC_workflow/TMP/RIA_QCworkflow/inputstore/aae/8905a-985f-46fb-91f5-35c772654ddd to /var/lib/condor/execute/dir_3950062/ds 
[INFO] Completed clone attempts for Dataset(/var/lib/condor/execute/dir_3950062/ds) 
+ cd ds
+ git remote add outputstore file:///data/project/QC_workflow/TMP/RIA_QCworkflow/aae/8905a-985f-46fb-91f5-35c772654ddd
+ git checkout -b job_sub-cIIs00_10066457
Switched to a new branch 'job_sub-cIIs00_10066457'
+ datalad get -n sourcedata/raw/
[INFO] Attempting a clone into /var/lib/condor/execute/dir_3950062/ds/sourcedata/raw 
[INFO] Attempting to clone from file:///data/project/QC_workflow/TMP/RIA_QCworkflow/inputstore/9e5/e9b46-fb3d-48cf-b766-89923247370d to /var/lib/condor/execute/dir_3950062/ds/sourcedata/raw 
[INFO] Attempting to clone from https://github.com/OpenNeuroDatasets/ds003416.git to /var/lib/condor/execute/dir_3950062/ds/sourcedata/raw 
[INFO] Start enumerating objects 
[INFO] Start counting objects 
[INFO] Start compressing objects 
[INFO] Start receiving objects 
[INFO] Start resolving deltas 
[INFO] Completed clone attempts for Dataset(/var/lib/condor/execute/dir_3950062/ds/sourcedata/raw) 
[INFO] Remote origin not usable by git-annex; setting annex-ignore 
[INFO] https://github.com/OpenNeuroDatasets/ds003416.git/config download failed: Not Found 
[INFO] access to 1 dataset sibling s3-PRIVATE not auto-enabled, enable with:
| 		datalad siblings -d "/var/lib/condor/execute/dir_3950062/ds/sourcedata/raw" enable -s s3-PRIVATE 
+ datalad containers-run -m 'Compute MRIQC for sub-cIIs00' -n bids-mriqc -i sourcedata/raw/sub-cIIs00 -i sourcedata/raw/dataset_description.json mriqc sourcedata/raw . participant --participant-label sub-cIIs00 --no-datalad-get --no-sub --verbose --nprocs 1 --mem 3000 --work-dir /tmp --float32 --verbose-reports
[INFO] Making sure inputs are available (this may take some time) 
[INFO] Attempting a clone into /var/lib/condor/execute/dir_3950062/ds/code/containers 
[INFO] Attempting to clone from file:///data/project/QC_workflow/TMP/RIA_QCworkflow/inputstore/b02/e63c2-62c1-11e9-82b0-52540040489c to /var/lib/condor/execute/dir_3950062/ds/code/containers 
[INFO] Attempting to clone from https://github.com/ReproNim/containers.git to /var/lib/condor/execute/dir_3950062/ds/code/containers 
[INFO] Start enumerating objects 
[INFO] Start counting objects 
[INFO] Start compressing objects 
[INFO] Start receiving objects 
[INFO] Start resolving deltas 
[INFO] Completed clone attempts for Dataset(/var/lib/condor/execute/dir_3950062/ds/code/containers) 
[INFO] Remote origin not usable by git-annex; setting annex-ignore 
[INFO] https://github.com/ReproNim/containers.git/config download failed: Not Found 
[INFO] == Command start (output follows) ===== 
2025-10-09T23:59:20+0200 [INFO    ] con-duct: duct 0.16.0 is executing 'singularity exec -W /tmp/singtmp.DctCTS -B /var/lib/condor/execute/dir_3950062/ds/code/containers/binds/zoneinfo/UTC:/etc/localtime -B /tmp/singtmp.DctCTS/tmp:/tmp -B /tmp/singtmp.DctCTS/var/tmp:/var/tmp -e -B /var/lib/condor/execute/dir_3950062/ds -H /var/lib/condor/execute/dir_3950062/ds/code/containers/binds/HOME --pwd /var/lib/condor/execute/dir_3950062/ds code/containers/images/bids/bids-mriqc--24.0.2.sing mriqc sourcedata/raw . participant --participant-label sub-cIIs00 --no-datalad-get --no-sub --verbose --nprocs 1 --mem 3000 --work-dir /tmp --float32 --verbose-reports'...
2025-10-09T23:59:20+0200 [INFO    ] con-duct: Log files will be written to logs/duct/sub-cIIs00_2025.10.09T23.59.20-4080520_
Fontconfig error: No writable cache directories
Fontconfig error: No writable cache directories
Fontconfig error: No writable cache directories
Fontconfig error: No writable cache directories
Fontconfig error: No writable cache directories
Fontconfig error: No writable cache directories
Fontconfig error: No writable cache directories
Fontconfig error: No writable cache directories
Fontconfig error: No writable cache directories
/opt/conda/lib/python3.11/site-packages/dipy/denoise/noise_estimate.py:252: RuntimeWarning: divide by zero encountered in divide
  s = sum_m2 / (2 * K * sigma**2)
/opt/conda/lib/python3.11/site-packages/dipy/denoise/noise_estimate.py:252: RuntimeWarning: invalid value encountered in divide
  s = sum_m2 / (2 * K * sigma**2)
/opt/conda/lib/python3.11/site-packages/dipy/denoise/noise_estimate.py:252: RuntimeWarning: divide by zero encountered in divide
  s = sum_m2 / (2 * K * sigma**2)
/opt/conda/lib/python3.11/site-packages/dipy/denoise/noise_estimate.py:252: RuntimeWarning: invalid value encountered in divide
  s = sum_m2 / (2 * K * sigma**2)

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/opt/conda/lib/python3.11/site-packages/nireports/reportlets/modality/dwi.py:162: RuntimeWarning: divide by zero encountered in scalar divide
  max_snr = imax / sigma
/opt/conda/lib/python3.11/site-packages/nireports/reportlets/modality/dwi.py:164: RuntimeWarning: invalid value encountered in divide
  labels_bins_position = bins[0] * np.array(labels_bins) / max_snr
/opt/conda/lib/python3.11/site-packages/nireports/reportlets/modality/dwi.py:162: RuntimeWarning: divide by zero encountered in scalar divide
  max_snr = imax / sigma
/opt/conda/lib/python3.11/site-packages/nireports/reportlets/modality/dwi.py:164: RuntimeWarning: invalid value encountered in divide
  labels_bins_position = bins[0] * np.array(labels_bins) / max_snr
/opt/conda/lib/python3.11/site-packages/nilearn/plotting/displays/_slicers.py:160: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  figure = plt.figure(figure, figsize=figsize, facecolor=facecolor)
/opt/conda/lib/python3.11/site-packages/nilearn/plotting/displays/_slicers.py:160: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  figure = plt.figure(figure, figsize=figsize, facecolor=facecolor)
/opt/conda/lib/python3.11/site-packages/nireports/reportlets/nuisance.py:168: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  fig, ax = plt.subplots()
/opt/conda/lib/python3.11/site-packages/nilearn/plotting/displays/_slicers.py:160: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  figure = plt.figure(figure, figsize=figsize, facecolor=facecolor)
/opt/conda/lib/python3.11/site-packages/nilearn/plotting/displays/_slicers.py:420: UserWarning: empty mask
  xmin_, xmax_, ymin_, ymax_, zmin_, zmax_ = get_mask_bounds(
/opt/conda/lib/python3.11/site-packages/nilearn/plotting/displays/_slicers.py:160: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  figure = plt.figure(figure, figsize=figsize, facecolor=facecolor)
/opt/conda/lib/python3.11/site-packages/nilearn/plotting/displays/_slicers.py:160: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  figure = plt.figure(figure, figsize=figsize, facecolor=facecolor)
/opt/conda/lib/python3.11/site-packages/nireports/reportlets/nuisance.py:168: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  fig, ax = plt.subplots()
/opt/conda/lib/python3.11/site-packages/nilearn/plotting/displays/_slicers.py:160: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  figure = plt.figure(figure, figsize=figsize, facecolor=facecolor)
/opt/conda/lib/python3.11/site-packages/nilearn/plotting/displays/_slicers.py:420: UserWarning: empty mask
  xmin_, xmax_, ymin_, ymax_, zmin_, zmax_ = get_mask_bounds(
/opt/conda/lib/python3.11/site-packages/nilearn/plotting/displays/_slicers.py:160: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  figure = plt.figure(figure, figsize=figsize, facecolor=facecolor)
/opt/conda/lib/python3.11/site-packages/nilearn/plotting/displays/_slicers.py:160: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  figure = plt.figure(figure, figsize=figsize, facecolor=facecolor)
/opt/conda/lib/python3.11/site-packages/nireports/reportlets/nuisance.py:168: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  fig, ax = plt.subplots()
/opt/conda/lib/python3.11/site-packages/nilearn/plotting/displays/_slicers.py:160: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  figure = plt.figure(figure, figsize=figsize, facecolor=facecolor)
/opt/conda/lib/python3.11/site-packages/nilearn/plotting/displays/_slicers.py:160: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  figure = plt.figure(figure, figsize=figsize, facecolor=facecolor)
/opt/conda/lib/python3.11/site-packages/nilearn/plotting/displays/_slicers.py:420: UserWarning: empty mask
  xmin_, xmax_, ymin_, ymax_, zmin_, zmax_ = get_mask_bounds(
/opt/conda/lib/python3.11/site-packages/nilearn/plotting/displays/_slicers.py:160: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  figure = plt.figure(figure, figsize=figsize, facecolor=facecolor)
/opt/conda/lib/python3.11/site-packages/nilearn/plotting/displays/_slicers.py:160: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  figure = plt.figure(figure, figsize=figsize, facecolor=facecolor)
/opt/conda/lib/python3.11/site-packages/nireports/reportlets/nuisance.py:168: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  fig, ax = plt.subplots()
/opt/conda/lib/python3.11/site-packages/nilearn/plotting/displays/_slicers.py:160: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  figure = plt.figure(figure, figsize=figsize, facecolor=facecolor)
/opt/conda/lib/python3.11/site-packages/nilearn/plotting/displays/_slicers.py:160: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  figure = plt.figure(figure, figsize=figsize, facecolor=facecolor)
/opt/conda/lib/python3.11/site-packages/nilearn/plotting/displays/_slicers.py:420: UserWarning: empty mask
  xmin_, xmax_, ymin_, ymax_, zmin_, zmax_ = get_mask_bounds(
/opt/conda/lib/python3.11/site-packages/nireports/reportlets/mosaic.py:565: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  fig = plt.figure(layout=None)
/opt/conda/lib/python3.11/site-packages/nireports/reportlets/mosaic.py:565: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  fig = plt.figure(layout=None)
/opt/conda/lib/python3.11/site-packages/mriqc/qc/diffusion.py:234: RuntimeWarning: divide by zero encountered in scalar divide
  cc_snr_estimates['shell0'] = round(float(in_b0[cc_mask].mean() / std_signal), decimals)
/opt/conda/lib/python3.11/site-packages/mriqc/qc/diffusion.py:257: RuntimeWarning: invalid value encountered in scalar divide
  float(np.mean(mean_signal_worst / std_signal)), decimals
/opt/conda/lib/python3.11/site-packages/mriqc/qc/diffusion.py:260: RuntimeWarning: invalid value encountered in scalar divide
  float(np.mean(mean_signal_best / std_signal)), decimals
/opt/conda/lib/python3.11/site-packages/nireports/interfaces/reporting/base.py:105: UserWarning: The given float value must not exceed 0. But, you have given threshold=0.001.
  mask_nii = threshold_img(fixed_image_nii, 1e-3)
/opt/conda/lib/python3.11/site-packages/nilearn/plotting/displays/_slicers.py:160: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  figure = plt.figure(figure, figsize=figsize, facecolor=facecolor)
/opt/conda/lib/python3.11/site-packages/nilearn/plotting/img_plotting.py:557: RuntimeWarning: overflow encountered in scalar subtract
  ptp = 0.5 * (vmax - vmin)
/opt/conda/lib/python3.11/site-packages/nireports/reportlets/mosaic.py:565: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  fig = plt.figure(layout=None)
/opt/conda/lib/python3.11/site-packages/nireports/reportlets/mosaic.py:565: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  fig = plt.figure(layout=None)
/opt/conda/lib/python3.11/site-packages/nireports/interfaces/reporting/base.py:105: UserWarning: The given float value must not exceed 0. But, you have given threshold=0.001.
  mask_nii = threshold_img(fixed_image_nii, 1e-3)
/opt/conda/lib/python3.11/site-packages/nilearn/plotting/displays/_slicers.py:160: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  figure = plt.figure(figure, figsize=figsize, facecolor=facecolor)
/opt/conda/lib/python3.11/site-packages/nilearn/plotting/img_plotting.py:557: RuntimeWarning: overflow encountered in scalar subtract
  ptp = 0.5 * (vmax - vmin)
/opt/conda/lib/python3.11/site-packages/nireports/reportlets/mosaic.py:565: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  fig = plt.figure(layout=None)
/opt/conda/lib/python3.11/site-packages/nireports/reportlets/mosaic.py:565: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  fig = plt.figure(layout=None)
/opt/conda/lib/python3.11/site-packages/mriqc/qc/diffusion.py:234: RuntimeWarning: divide by zero encountered in scalar divide
  cc_snr_estimates['shell0'] = round(float(in_b0[cc_mask].mean() / std_signal), decimals)
/opt/conda/lib/python3.11/site-packages/mriqc/qc/diffusion.py:257: RuntimeWarning: divide by zero encountered in scalar divide
  float(np.mean(mean_signal_worst / std_signal)), decimals
/opt/conda/lib/python3.11/site-packages/mriqc/qc/diffusion.py:260: RuntimeWarning: divide by zero encountered in scalar divide
  float(np.mean(mean_signal_best / std_signal)), decimals
/opt/conda/lib/python3.11/site-packages/nireports/interfaces/reporting/base.py:105: UserWarning: The given float value must not exceed 0. But, you have given threshold=0.001.
  mask_nii = threshold_img(fixed_image_nii, 1e-3)
/opt/conda/lib/python3.11/site-packages/nilearn/plotting/displays/_slicers.py:160: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  figure = plt.figure(figure, figsize=figsize, facecolor=facecolor)
/opt/conda/lib/python3.11/site-packages/nilearn/plotting/img_plotting.py:557: RuntimeWarning: overflow encountered in scalar subtract
  ptp = 0.5 * (vmax - vmin)
/opt/conda/lib/python3.11/site-packages/nireports/reportlets/mosaic.py:565: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  fig = plt.figure(layout=None)
/opt/conda/lib/python3.11/site-packages/nireports/reportlets/mosaic.py:565: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  fig = plt.figure(layout=None)
/opt/conda/lib/python3.11/site-packages/mriqc/qc/diffusion.py:234: RuntimeWarning: divide by zero encountered in scalar divide
  cc_snr_estimates['shell0'] = round(float(in_b0[cc_mask].mean() / std_signal), decimals)
/opt/conda/lib/python3.11/site-packages/mriqc/qc/diffusion.py:257: RuntimeWarning: divide by zero encountered in scalar divide
  float(np.mean(mean_signal_worst / std_signal)), decimals
/opt/conda/lib/python3.11/site-packages/mriqc/qc/diffusion.py:260: RuntimeWarning: divide by zero encountered in scalar divide
  float(np.mean(mean_signal_best / std_signal)), decimals
/opt/conda/lib/python3.11/site-packages/nireports/interfaces/reporting/base.py:105: UserWarning: The given float value must not exceed 0. But, you have given threshold=0.001.
  mask_nii = threshold_img(fixed_image_nii, 1e-3)
/opt/conda/lib/python3.11/site-packages/nilearn/plotting/displays/_slicers.py:160: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  figure = plt.figure(figure, figsize=figsize, facecolor=facecolor)
/opt/conda/lib/python3.11/site-packages/nilearn/plotting/img_plotting.py:557: RuntimeWarning: overflow encountered in scalar subtract
  ptp = 0.5 * (vmax - vmin)
/opt/conda/lib/python3.11/site-packages/nireports/reportlets/mosaic.py:565: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  fig = plt.figure(layout=None)
/opt/conda/lib/python3.11/site-packages/nireports/reportlets/mosaic.py:565: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  fig = plt.figure(layout=None)
/opt/conda/lib/python3.11/site-packages/mriqc/qc/diffusion.py:234: RuntimeWarning: divide by zero encountered in scalar divide
  cc_snr_estimates['shell0'] = round(float(in_b0[cc_mask].mean() / std_signal), decimals)
/opt/conda/lib/python3.11/site-packages/mriqc/qc/diffusion.py:257: RuntimeWarning: divide by zero encountered in scalar divide
  float(np.mean(mean_signal_worst / std_signal)), decimals
/opt/conda/lib/python3.11/site-packages/mriqc/qc/diffusion.py:260: RuntimeWarning: divide by zero encountered in scalar divide
  float(np.mean(mean_signal_best / std_signal)), decimals
/opt/conda/lib/python3.11/site-packages/nireports/interfaces/reporting/base.py:105: UserWarning: The given float value must not exceed 0. But, you have given threshold=0.001.
  mask_nii = threshold_img(fixed_image_nii, 1e-3)
/opt/conda/lib/python3.11/site-packages/nilearn/plotting/displays/_slicers.py:160: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  figure = plt.figure(figure, figsize=figsize, facecolor=facecolor)
/opt/conda/lib/python3.11/site-packages/nilearn/plotting/img_plotting.py:557: RuntimeWarning: overflow encountered in scalar subtract
  ptp = 0.5 * (vmax - vmin)
/opt/conda/lib/python3.11/site-packages/nireports/reportlets/mosaic.py:565: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  fig = plt.figure(layout=None)
/opt/conda/lib/python3.11/site-packages/nireports/reportlets/mosaic.py:565: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  fig = plt.figure(layout=None)
/opt/conda/lib/python3.11/site-packages/mriqc/qc/diffusion.py:234: RuntimeWarning: divide by zero encountered in scalar divide
  cc_snr_estimates['shell0'] = round(float(in_b0[cc_mask].mean() / std_signal), decimals)
/opt/conda/lib/python3.11/site-packages/mriqc/qc/diffusion.py:257: RuntimeWarning: divide by zero encountered in scalar divide
  float(np.mean(mean_signal_worst / std_signal)), decimals
/opt/conda/lib/python3.11/site-packages/mriqc/qc/diffusion.py:260: RuntimeWarning: divide by zero encountered in scalar divide
  float(np.mean(mean_signal_best / std_signal)), decimals
/opt/conda/lib/python3.11/site-packages/nireports/interfaces/reporting/base.py:105: UserWarning: The given float value must not exceed 0. But, you have given threshold=0.001.
  mask_nii = threshold_img(fixed_image_nii, 1e-3)
/opt/conda/lib/python3.11/site-packages/nilearn/plotting/displays/_slicers.py:160: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  figure = plt.figure(figure, figsize=figsize, facecolor=facecolor)
/opt/conda/lib/python3.11/site-packages/nilearn/plotting/img_plotting.py:557: RuntimeWarning: overflow encountered in scalar subtract
  ptp = 0.5 * (vmax - vmin)
/opt/conda/lib/python3.11/site-packages/nireports/reportlets/mosaic.py:565: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  fig = plt.figure(layout=None)
/opt/conda/lib/python3.11/site-packages/nireports/reportlets/mosaic.py:565: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  fig = plt.figure(layout=None)
/opt/conda/lib/python3.11/site-packages/nireports/interfaces/reporting/base.py:105: UserWarning: The given float value must not exceed 0. But, you have given threshold=0.001.
  mask_nii = threshold_img(fixed_image_nii, 1e-3)
/opt/conda/lib/python3.11/site-packages/nilearn/plotting/displays/_slicers.py:160: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  figure = plt.figure(figure, figsize=figsize, facecolor=facecolor)
/opt/conda/lib/python3.11/site-packages/nilearn/plotting/img_plotting.py:557: RuntimeWarning: overflow encountered in scalar subtract
  ptp = 0.5 * (vmax - vmin)
/opt/conda/lib/python3.11/site-packages/nireports/reportlets/mosaic.py:565: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  fig = plt.figure(layout=None)
/opt/conda/lib/python3.11/site-packages/nireports/reportlets/mosaic.py:565: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  fig = plt.figure(layout=None)
/opt/conda/lib/python3.11/site-packages/nireports/interfaces/reporting/base.py:105: UserWarning: The given float value must not exceed 0. But, you have given threshold=0.001.
  mask_nii = threshold_img(fixed_image_nii, 1e-3)
/opt/conda/lib/python3.11/site-packages/nilearn/plotting/displays/_slicers.py:160: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  figure = plt.figure(figure, figsize=figsize, facecolor=facecolor)
/opt/conda/lib/python3.11/site-packages/nilearn/plotting/img_plotting.py:557: RuntimeWarning: overflow encountered in scalar subtract
  ptp = 0.5 * (vmax - vmin)
/opt/conda/lib/python3.11/site-packages/nireports/reportlets/mosaic.py:565: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  fig = plt.figure(layout=None)
/opt/conda/lib/python3.11/site-packages/nireports/reportlets/mosaic.py:565: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  fig = plt.figure(layout=None)
/opt/conda/lib/python3.11/site-packages/nireports/interfaces/reporting/base.py:105: UserWarning: The given float value must not exceed 0. But, you have given threshold=0.001.
  mask_nii = threshold_img(fixed_image_nii, 1e-3)
/opt/conda/lib/python3.11/site-packages/nilearn/plotting/displays/_slicers.py:160: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  figure = plt.figure(figure, figsize=figsize, facecolor=facecolor)
/opt/conda/lib/python3.11/site-packages/nilearn/plotting/img_plotting.py:557: RuntimeWarning: overflow encountered in scalar subtract
  ptp = 0.5 * (vmax - vmin)
/opt/conda/lib/python3.11/site-packages/nireports/reportlets/mosaic.py:565: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  fig = plt.figure(layout=None)
/opt/conda/lib/python3.11/site-packages/nireports/reportlets/mosaic.py:565: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  fig = plt.figure(layout=None)
/opt/conda/lib/python3.11/site-packages/nireports/interfaces/reporting/base.py:105: UserWarning: The given float value must not exceed 0. But, you have given threshold=0.001.
  mask_nii = threshold_img(fixed_image_nii, 1e-3)
/opt/conda/lib/python3.11/site-packages/nilearn/plotting/displays/_slicers.py:160: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  figure = plt.figure(figure, figsize=figsize, facecolor=facecolor)
/opt/conda/lib/python3.11/site-packages/nilearn/plotting/img_plotting.py:557: RuntimeWarning: overflow encountered in scalar subtract
  ptp = 0.5 * (vmax - vmin)
/opt/conda/lib/python3.11/site-packages/nireports/reportlets/mosaic.py:565: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  fig = plt.figure(layout=None)
/opt/conda/lib/python3.11/site-packages/nireports/reportlets/mosaic.py:565: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  fig = plt.figure(layout=None)
/opt/conda/lib/python3.11/site-packages/nilearn/plotting/displays/_slicers.py:160: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  figure = plt.figure(figure, figsize=figsize, facecolor=facecolor)
/opt/conda/lib/python3.11/site-packages/nireports/reportlets/mosaic.py:565: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  fig = plt.figure(layout=None)
/opt/conda/lib/python3.11/site-packages/nireports/reportlets/mosaic.py:565: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  fig = plt.figure(layout=None)
/opt/conda/lib/python3.11/site-packages/nilearn/plotting/displays/_slicers.py:160: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  figure = plt.figure(figure, figsize=figsize, facecolor=facecolor)
/opt/conda/lib/python3.11/site-packages/nireports/reportlets/mosaic.py:565: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  fig = plt.figure(layout=None)
/opt/conda/lib/python3.11/site-packages/nireports/reportlets/mosaic.py:565: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  fig = plt.figure(layout=None)
/opt/conda/lib/python3.11/site-packages/nilearn/plotting/displays/_slicers.py:160: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  figure = plt.figure(figure, figsize=figsize, facecolor=facecolor)
/opt/conda/lib/python3.11/site-packages/nireports/reportlets/mosaic.py:565: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  fig = plt.figure(layout=None)
/opt/conda/lib/python3.11/site-packages/nireports/reportlets/mosaic.py:565: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  fig = plt.figure(layout=None)
/opt/conda/lib/python3.11/site-packages/nilearn/plotting/displays/_slicers.py:160: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  figure = plt.figure(figure, figsize=figsize, facecolor=facecolor)
/opt/conda/lib/python3.11/site-packages/nireports/reportlets/mosaic.py:565: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  fig = plt.figure(layout=None)
/opt/conda/lib/python3.11/site-packages/nireports/reportlets/mosaic.py:565: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  fig = plt.figure(layout=None)
/opt/conda/lib/python3.11/site-packages/nilearn/plotting/displays/_slicers.py:160: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  figure = plt.figure(figure, figsize=figsize, facecolor=facecolor)
/opt/conda/lib/python3.11/site-packages/nireports/reportlets/mosaic.py:565: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  fig = plt.figure(layout=None)
/opt/conda/lib/python3.11/site-packages/nireports/reportlets/mosaic.py:565: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  fig = plt.figure(layout=None)
/opt/conda/lib/python3.11/site-packages/nireports/interfaces/reporting/base.py:105: UserWarning: The given float value must not exceed 0. But, you have given threshold=0.001.
  mask_nii = threshold_img(fixed_image_nii, 1e-3)
/opt/conda/lib/python3.11/site-packages/nilearn/plotting/displays/_slicers.py:160: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  figure = plt.figure(figure, figsize=figsize, facecolor=facecolor)
/opt/conda/lib/python3.11/site-packages/nireports/reportlets/mosaic.py:565: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  fig = plt.figure(layout=None)
/opt/conda/lib/python3.11/site-packages/nireports/reportlets/mosaic.py:565: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  fig = plt.figure(layout=None)
/opt/conda/lib/python3.11/site-packages/nilearn/plotting/displays/_slicers.py:160: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  figure = plt.figure(figure, figsize=figsize, facecolor=facecolor)
/opt/conda/lib/python3.11/site-packages/nireports/reportlets/mosaic.py:565: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  fig = plt.figure(layout=None)
/opt/conda/lib/python3.11/site-packages/nireports/reportlets/mosaic.py:565: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  fig = plt.figure(layout=None)
/opt/conda/lib/python3.11/site-packages/nilearn/plotting/displays/_slicers.py:160: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  figure = plt.figure(figure, figsize=figsize, facecolor=facecolor)
/opt/conda/lib/python3.11/site-packages/nireports/reportlets/mosaic.py:565: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  fig = plt.figure(layout=None)
/opt/conda/lib/python3.11/site-packages/nireports/reportlets/mosaic.py:565: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  fig = plt.figure(layout=None)
/opt/conda/lib/python3.11/site-packages/nilearn/plotting/displays/_slicers.py:160: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  figure = plt.figure(figure, figsize=figsize, facecolor=facecolor)
/opt/conda/lib/python3.11/site-packages/nireports/reportlets/mosaic.py:565: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  fig = plt.figure(layout=None)
/opt/conda/lib/python3.11/site-packages/nireports/reportlets/mosaic.py:565: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  fig = plt.figure(layout=None)
/opt/conda/lib/python3.11/site-packages/nireports/reportlets/mosaic.py:565: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  fig = plt.figure(layout=None)
/opt/conda/lib/python3.11/site-packages/mriqc/qc/diffusion.py:220: ExtremeValueWarning: CC mask is too small (0 voxels)
  warn(f'CC mask is too small ({nvox_cc} voxels)', ExtremeValueWarning, stacklevel=1)
/opt/conda/lib/python3.11/site-packages/nilearn/plotting/displays/_slicers.py:160: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
  figure = plt.figure(figure, figsize=figsize, facecolor=facecolor)
2025-10-10T07:20:55+0200 [INFO    ] con-duct: Summary:
Exit Code: 0
Command: singularity exec -W /tmp/singtmp.DctCTS -B /var/lib/condor/execute/dir_3950062/ds/code/containers/binds/zoneinfo/UTC:/etc/localtime -B /tmp/singtmp.DctCTS/tmp:/tmp -B /tmp/singtmp.DctCTS/var/tmp:/var/tmp -e -B /var/lib/condor/execute/dir_3950062/ds -H /var/lib/condor/execute/dir_3950062/ds/code/containers/binds/HOME --pwd /var/lib/condor/execute/dir_3950062/ds code/containers/images/bids/bids-mriqc--24.0.2.sing mriqc sourcedata/raw . participant --participant-label sub-cIIs00 --no-datalad-get --no-sub --verbose --nprocs 1 --mem 3000 --work-dir /tmp --float32 --verbose-reports
Log files location: logs/duct/sub-cIIs00_2025.10.09T23.59.20-4080520_
Wall Clock Time: 26494.104 sec
Memory Peak Usage (RSS): 11.2 GB
Memory Average Usage (RSS): 2.3 GB
Virtual Memory Peak Usage (VSZ): 16.8 GB
Virtual Memory Average Usage (VSZ): 5.1 GB
Memory Peak Percentage: 1.90%
Memory Average Percentage: 0.28%
CPU Peak Usage: 251.00%
Average CPU Usage: 94.15%

[INFO] == Command exit (modification check follows) ===== 
+ datalad push --to mriqc_out-storage
[INFO] Determine push target 
[INFO] Push refspecs 
[INFO] Transfer data 
[INFO] Finished push of Dataset(/var/lib/condor/execute/dir_3950062/ds) 
+ flock --verbose /data/project/QC_workflow/TMP/ds003416-mriqc/.condor_datalad_lock git push outputstore
To file:///data/project/QC_workflow/TMP/RIA_QCworkflow/aae/8905a-985f-46fb-91f5-35c772654ddd
 * [new branch]      job_sub-cIIs00_10066457 -> job_sub-cIIs00_10066457
+ echo SUCCESS