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I tried to follow the guideline and run the most recent version of the tool at the moment. It fails and throws an error:
$ python ./check_efficiency.py s.user.name 7
Command:
sacct -u s.user.name --start 2021-08-03 --end 2021-08-10 --parsable2 --format Account,AdminComment,AllocCPUS,AllocGRES,AllocNodes,AllocTRES,AssocID,AveCPU,AveCPUFreq,AveDiskRead,AveDiskWrite,AvePages,AveRSS,AveVMSize,BlockID,Cluster,Comment,Constraints,ConsumedEnergy,ConsumedEnergyRaw,CPUTime,CPUTimeRAW,DerivedExitCode,Elapsed,ElapsedRaw,Eligible,End,ExitCode,Flags,GID,Group,JobID,JobIDRaw,JobName,Layout,MaxDiskRead,MaxDiskReadNode,MaxDiskReadTask,MaxDiskWrite,MaxDiskWriteNode,MaxDiskWriteTask,MaxPages,MaxPagesNode,MaxPagesTask,MaxRSS,MaxRSSNode,MaxRSSTask,MaxVMSize,MaxVMSizeNode,MaxVMSizeTask,McsLabel,MinCPU,MinCPUNode,MinCPUTask,NCPUS,NNodes,NodeList,NTasks,Priority,Partition,QOS,QOSRAW,Reason,ReqCPUFreq,ReqCPUFreqMin,ReqCPUFreqMax,ReqCPUFreqGov,ReqCPUS,ReqGRES,ReqMem,ReqNodes,ReqTRES,Reservation,ReservationId,Reserved,ResvCPU,ResvCPURAW,Start,State,Submit,Suspended,SystemCPU,SystemComment,Timelimit,TimelimitRaw,TotalCPU,TRESUsageInAve,TRESUsageInMax,TRESUsageInMaxNode,TRESUsageInMaxTask,TRESUsageInMin,TRESUsageInMinNode,TRESUsageInMinTask,TRESUsageInTot,TRESUsageOutAve,TRESUsageOutMax,TRESUsageOutMaxNode,TRESUsageOutMaxTask,TRESUsageOutMin,TRESUsageOutMinNode,TRESUsageOutMinTask,TRESUsageOutTot,UID,User,UserCPU,WCKey,WCKeyID,WorkDir
Error stream:
Traceback (most recent call last):
File "/apps/local/languages/anaconda/2020.07/lib/python3.8/site-packages/pandas/core/indexes/base.py", line 2646, in get_loc
return self._engine.get_loc(key)
File "pandas/_libs/index.pyx", line 111, in pandas._libs.index.IndexEngine.get_loc
File "pandas/_libs/index.pyx", line 138, in pandas._libs.index.IndexEngine.get_loc
File "pandas/_libs/hashtable_class_helper.pxi", line 1619, in pandas._libs.hashtable.PyObjectHashTable.get_item
File "pandas/_libs/hashtable_class_helper.pxi", line 1627, in pandas._libs.hashtable.PyObjectHashTable.get_item
KeyError: ''
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "./check_efficiency.py", line 167, in <module>
print("Efficiency:", compute_global_efficiency(df))
File "./check_efficiency.py", line 119, in compute_global_efficiency
cpu_time_actively_used = df.TotalCPU.loc[(slice(None), '')].sum()
File "/apps/local/languages/anaconda/2020.07/lib/python3.8/site-packages/pandas/core/indexing.py", line 1762, in __getitem__
return self._getitem_tuple(key)
File "/apps/local/languages/anaconda/2020.07/lib/python3.8/site-packages/pandas/core/indexing.py", line 1272, in _getitem_tuple
return self._getitem_lowerdim(tup)
File "/apps/local/languages/anaconda/2020.07/lib/python3.8/site-packages/pandas/core/indexing.py", line 1373, in _getitem_lowerdim
return self._getitem_nested_tuple(tup)
File "/apps/local/languages/anaconda/2020.07/lib/python3.8/site-packages/pandas/core/indexing.py", line 1433, in _getitem_nested_tuple
result = self._handle_lowerdim_multi_index_axis0(tup)
File "/apps/local/languages/anaconda/2020.07/lib/python3.8/site-packages/pandas/core/indexing.py", line 1360, in _handle_lowerdim_multi_index_axis0
raise ek
File "/apps/local/languages/anaconda/2020.07/lib/python3.8/site-packages/pandas/core/indexing.py", line 1352, in _handle_lowerdim_multi_index_axis0
return self._get_label(tup, axis=axis)
File "/apps/local/languages/anaconda/2020.07/lib/python3.8/site-packages/pandas/core/indexing.py", line 621, in _get_label
return self.obj._xs(label, axis=axis)
File "/apps/local/languages/anaconda/2020.07/lib/python3.8/site-packages/pandas/core/generic.py", line 3535, in xs
loc, new_index = self.index.get_loc_level(key, drop_level=drop_level)
File "/apps/local/languages/anaconda/2020.07/lib/python3.8/site-packages/pandas/core/indexes/multi.py", line 2823, in get_loc_level
k = self._get_level_indexer(k, level=i)
File "/apps/local/languages/anaconda/2020.07/lib/python3.8/site-packages/pandas/core/indexes/multi.py", line 2929, in _get_level_indexer
code = self._get_loc_single_level_index(level_index, key)
File "/apps/local/languages/anaconda/2020.07/lib/python3.8/site-packages/pandas/core/indexes/multi.py", line 2598, in _get_loc_single_level_index
return level_index.get_loc(key)
File "/apps/local/languages/anaconda/2020.07/lib/python3.8/site-packages/pandas/core/indexes/base.py", line 2648, in get_loc
return self._engine.get_loc(self._maybe_cast_indexer(key))
File "pandas/_libs/index.pyx", line 111, in pandas._libs.index.IndexEngine.get_loc
File "pandas/_libs/index.pyx", line 138, in pandas._libs.index.IndexEngine.get_loc
File "pandas/_libs/hashtable_class_helper.pxi", line 1619, in pandas._libs.hashtable.PyObjectHashTable.get_item
File "pandas/_libs/hashtable_class_helper.pxi", line 1627, in pandas._libs.hashtable.PyObjectHashTable.get_item
KeyError: ''
My environment:
$ python --version
Python 3.8.3
I also have tabulate==0.8.9 and pandas==1.0.5 installed, the former is pip-based, the latter comes with the anaconda build.
The text was updated successfully, but these errors were encountered:
I tried to follow the guideline and run the most recent version of the tool at the moment. It fails and throws an error:
My environment:
I also have
tabulate==0.8.9
andpandas==1.0.5
installed, the former ispip
-based, the latter comes with theanaconda
build.The text was updated successfully, but these errors were encountered: