give resolution time in minutes for the given user story, only provide the number of minutes in the output without any other text

User story: This is running on private data because I haven't yet found a public example that produces the problem.  The particular data set may be specialised, but we shouldn't be so chatty in any case.    {code}  pprice@tiger-sumire:/scratch/gpfs/pprice $ processCcd.py DATA --rerun cmodel --id visit=42742 ccd=49 --clobber-config  /home/pprice/.local/lib/python2.7/site-packages/matplotlib/font_manager.py:273: UserWarning: Matplotlib is building the font cache using fc-list. This may take a moment.    warnings.warn('Matplotlib is building the font cache using fc-list. This may take a moment.')  : Loading config overrride file '/tigress/HSC/LSST/stack/Linux64/obs_subaru/12.0-16-gbc41bb6+2/config/processCcd.py'  : Loading config overrride file '/tigress/HSC/LSST/stack/Linux64/obs_subaru/12.0-16-gbc41bb6+2/config/hsc/processCcd.py'  : input=/scratch/gpfs/pprice/DATA  : calib=None  : output=/scratch/gpfs/pprice/DATA/rerun/cmodel  CameraMapper: Loading registry registry from /scratch/gpfs/pprice/DATA/rerun/cmodel/_parent/registry.sqlite3  CameraMapper: Loading calibRegistry registry from /scratch/gpfs/pprice/DATA/CALIB/calibRegistry.sqlite3  processCcd: Processing {'taiObs': '2015-10-15', 'pointing': 1383, 'visit': 42742, 'dateObs': '2015-10-15', 'filter': 'HSC-I', 'field': 'U105A_CEN', 'ccd': 49, 'expTime': 250.0}  processCcd.isr: Performing ISR on sensor {'taiObs': '2015-10-15', 'pointing': 1383, 'visit': 42742, 'dateObs': '2015-10-15', 'filter': 'HSC-I', 'field': 'U105A_CEN', 'ccd': 49, 'expTime': 250.0}  processCcd.isr.crosstalk: Applying crosstalk correction  processCcd.isr: Applying brighter fatter correction  processCcd.isr: Finished brighter fatter in 6 iterations  processCcd.isr: Set 0 BAD pixels to 3199.49  processCcd.isr: Flattened sky level: 3200.822754 +/- 38.878743  processCcd.isr: Measuring sky levels in 8x16 grids: 3196.589865  processCcd.isr: Sky flatness in 8x16 grids - pp: 0.151048 rms: 0.022820  processCcd.isr: Setting rough magnitude zero point: 34.594850  processCcd.charImage: Processing {'taiObs': '2015-10-15', 'pointing': 1383, 'visit': 42742, 'dateObs': '2015-10-15', 'filter': 'HSC-I', 'field': 'U105A_CEN', 'ccd': 49, 'expTime': 250.0}  processCcd.charImage.repair: Identified 831 cosmic rays.  processCcd.charImage.detection: Detected 664 positive sources to 50 sigma.  processCcd.charImage.detection: Resubtracting the background after object detection  processCcd.charImage.measurement: Measuring 664 sources (664 parents, 0 children)   processCcd.charImage.measurePsf: Measuring PSF  processCcd.charImage.measurePsf: PSF star selector found 303 candidates  processCcd.charImage.measurePsf: Reserved 75 candidates from the fitting  processCcd.charImage.measurePsf: PSF determination using 205/303 stars.  processCcd.charImage: iter 1; PSF sigma=1.26, dimensions=(41, 41); median background=3196.07  processCcd.charImage.repair: Identified 799 cosmic rays.  processCcd.charImage.detection: Detected 743 positive sources to 50 sigma.  processCcd.charImage.detection: Resubtracting the background after object detection  processCcd.charImage.measurement: Measuring 743 sources (743 parents, 0 children)   processCcd.charImage.measurement WARNING: Error in modelfit_CModel.measure on record 36715308886523905:     File "src/geom/LinearTransform.cc", line 66, in const lsst::afw::geom::LinearTransform lsst::afw::geom::LinearTransform::invert() const      Could not compute LinearTransform inverse {0}  lsst::afw::geom::SingularTransformException: 'Could not compute LinearTransform inverse'    processCcd.charImage.measurement WARNING: Error in modelfit_CModel.measure on record 36715308886523906:     File "src/geom/LinearTransform.cc", line 66, in const lsst::afw::geom::LinearTransform lsst::afw::geom::LinearTransform::invert() const      Could not compute LinearTransform inverse {0}  lsst::afw::geom::SingularTransformException: 'Could not compute LinearTransform inverse'    [many, many more follow...]  processCcd.charImage.measureApCorr: Measuring aperture corrections for 7 flux fields  /tigress/HSC/LSST/stack/Linux64/meas_algorithms/12.0-24-g3f92e4c+6/python/lsst/meas/algorithms/measureApCorr.py:226: RuntimeWarning: invalid value encountered in greater    fluxes > 0.0,  processCcd.charImage.measureApCorr: Aperture correction for modelfit_CModel_exp: RMS 0.073826 from 253  processCcd.charImage.measureApCorr: Aperture correction for base_PsfFlux: RMS 0.074407 from 255  processCcd.charImage.measureApCorr: Aperture correction for modelfit_CModel: RMS 0.073742 from 253  processCcd.charImage.measureApCorr: Aperture correction for modelfit_CModel_initial: RMS 0.072894 from 254  processCcd.charImage.measureApCorr: Aperture correction for ext_photometryKron_KronFlux: RMS 0.062862 from 255  processCcd.charImage.measureApCorr: Aperture correction for base_GaussianFlux: RMS 0.086553 from 255  processCcd.charImage.measureApCorr: Aperture correction for modelfit_CModel_dev: RMS 0.073533 from 253  processCcd.charImage.applyApCorr: Applying aperture corrections to 7 flux fields  processCcd.charImage.applyApCorr: Use naive flux sigma computation  processCcd.calibrate: Processing {'taiObs': '2015-10-15', 'pointing': 1383, 'visit': 42742, 'dateObs': '2015-10-15', 'filter': 'HSC-I', 'field': 'U105A_CEN', 'ccd': 49, 'expTime': 250.0}  processCcd.calibrate.detection: Detected 4386 positive sources to 5 sigma.  processCcd.calibrate.detection: Resubtracting the background after object detection  processCcd.calibrate.deblend: Deblending 4386 sources  processCcd.calibrate.deblend: Deblended: of 4386 sources, 1006 were deblended, creating 3754 children, total 8140 sources  processCcd.calibrate.measurement: Measuring 8140 sources (4386 parents, 3754 children)   processCcd.calibrate.applyApCorr: Applying aperture corrections to 2 flux fields  processCcd.calibrate.applyApCorr: Use naive flux sigma computation  [...]  {code}
Answer: 1014.0