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: In one edge tract/patch of the HSC-PDR2 DEEP+UDEEP,  coaddAnalysis gave this error:     {noformat}  coaddAnalysis.py /datasets/hsc/repo/ --calib /datasets/hsc/calib/20200115/ --rerun DM-23243/MULTIBAND/DEEP:private/<USER>testCoaddAna20200316 --doraise --config doWriteParquetTables=True --id tract=09572 filter=HSC-G  {noformat}      {noformat}  root INFO: Running: /home/<USER>PDR2/pa_stack_2/pipe_analysis/bin/coaddAnalysis.py /datasets/hsc/repo/ --calib /datasets/hsc/calib/20200115/ --rerun DM-23243/MULTIBAND/DEEP:private/<USER>testCoaddAna20200316 --doraise --config doWriteParquetTables=True --id tract=09572 filter=HSC-G  coaddAnalysis INFO: patchList size: 3  coaddAnalysis INFO: External calibration(s) used: photoCal: FGCM  wcs: JOINTCAL  coaddAnalysis INFO: shortName = overlap_modelfit_CModel_forced  coaddAnalysis INFO: No data for dataset: unknown  coaddAnalysis INFO: Statistics from DataId(initialdata={'tract': 9572, 'filter': 'HSC-G', 'patch': '8,6'}, tag=set()) of   Overlap mag difference (CModel) (mmag): {'galaxy': Stats(mean=nan; stdev=nan; num=0; total=0; median=nan; clip=nan; forcedMean=nan; thresholdType=S/N; thresholdValue=300.0), 'split': Stats(mean=nan; stdev=nan; num=0; total=0; median=nan; clip=nan; forcedMean=nan; thresholdType=S/N; thresholdValue=300.0), 'star': Stats(mean=0.0000; stdev=127.7816; num=2; total=2; median=0.0000; clip=378.2334; forcedMean=None; thresholdType=S/N; thresholdValue=300.0), 'unknown': Stats(mean=nan; stdev=nan; num=0; total=0; median=nan; clip=nan; forcedMean=nan; thresholdType=S/N; thresholdValue=300.0)}  coaddAnalysis WARN:   Overlap mag difference (CModel) (mmag) stdev = 127.78 exceeds maximum limit of 3.00: DataId(initialdata={'tract': 9572, 'filter': 'HSC-G', 'patch': '8,6'}, tag=set())  coaddAnalysis INFO: shortName = overlap_distance_forced  coaddAnalysis INFO: No data for dataset: unknown  coaddAnalysis INFO: Statistics from DataId(initialdata={'tract': 9572, 'filter': 'HSC-G', 'patch': '8,6'}, tag=set()) of Distance (mas): {'galaxy': Stats(mean=nan; stdev=nan; num=0; total=0; median=nan; clip=nan; forcedMean=nan; thresholdType=S/N; thresholdValue=300.0), 'split': Stats(mean=nan; stdev=nan; num=0; total=0; median=nan; clip=nan; forcedMean=nan; thresholdType=S/N; thresholdValue=300.0), 'star': Stats(mean=458.1745; stdev=458.1745; num=2; total=2; median=458.1745; clip=0.0000; forcedMean=0.0; thresholdType=S/N; thresholdValue=300.0), 'unknown': Stats(mean=nan; stdev=nan; num=0; total=0; median=nan; clip=nan; forcedMean=nan; thresholdType=S/N; thresholdValue=300.0)}  coaddAnalysis WARN: Distance (mas) stdev = 458.17 exceeds maximum limit of 5.00: DataId(initialdata={'tract': 9572, 'filter': 'HSC-G', 'patch': '8,6'}, tag=set())  coaddAnalysis INFO: Number of forced overlap objects matched = 170  coaddAnalysis INFO: shortName = overlap_modelfit_CModel_unforced  Traceback (most recent call last):    File "/home/<USER>PDR2/pa_stack_2/pipe_analysis/bin/coaddAnalysis.py", line 3, in <module>      CoaddAnalysisTask.parseAndRun()    File "/software/lsstsw/stack_20200220/stack/miniconda3-4.7.12-984c9f7/Linux64/pipe_base/19.0.0-9-g0ae078d+2/python/lsst/pipe/base/cmdLineTask.py", line 610, in parseAndRun      resultList = taskRunner.run(parsedCmd)    File "/software/lsstsw/stack_20200220/stack/miniconda3-4.7.12-984c9f7/Linux64/pipe_base/19.0.0-9-g0ae078d+2/python/lsst/pipe/base/cmdLineTask.py", line 221, in run      resultList = list(mapFunc(self, targetList))    File "/software/lsstsw/stack_20200220/stack/miniconda3-4.7.12-984c9f7/Linux64/pipe_base/19.0.0-9-g0ae078d+2/python/lsst/pipe/base/cmdLineTask.py", line 385, in __call__      result = self.runTask(task, dataRef, kwargs)    File "/software/lsstsw/stack_20200220/stack/miniconda3-4.7.12-984c9f7/Linux64/pipe_base/19.0.0-9-g0ae078d+2/python/lsst/pipe/base/cmdLineTask.py", line 447, in runTask      return task.runDataRef(dataRef, **kwargs)    File "/home/<USER>PDR2/pa_stack_2/pipe_analysis/python/lsst/pipe/analysis/coaddAnalysis.py", line 318, in runDataRef      highlightList=highlightList, **plotKwargs)    File "/home/<USER>PDR2/pa_stack_2/pipe_analysis/python/lsst/pipe/analysis/coaddAnalysis.py", line 1051, in plotOverlaps      unitScale=self.unitScale,    File "/home/<USER>PDR2/pa_stack_2/pipe_analysis/python/lsst/pipe/analysis/analysis.py", line 229, in __init__      format(labeller.plot[0]))  RuntimeError: No good data points to plot for sample labelled: star  {noformat}      Could this edge case be handled more gracefully, such as a softer warning and skipping plotting the patch rather than an error, or other approaches?     The {{pipe__analysis}} version is at commit {{c11be5b}} with stack w_2020_08. 
Answer: 102555.0