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The display of the number of jobs in a bin seems in some cases to be incorrect for the memory efficiency, although the length of the bar is correct:
-------------------------------------------------------- Job Information ID: 123456 Name: abc Cluster: acluster User/Group: auser/agroup Requested CPUs: 1 cores on 1 node(s) Requested Memory: 0.59G Requested Time: 7-00:00:00 -------------------------------------------------------- Job Status COMPLETED: 221 OUT_OF_MEMORY: 3 PENDING: 1 RUNNING: 768 -------------------------------------------------------- -------------------------------------------------------- Finished Job Statistics (excludes pending, running, and cancelled jobs) Average CPU Efficiency 98.91% Average Memory Usage 0.90G Average Run-time 2883.89s --------------------- CPU Efficiency (%) --------------------- 0.00 - 10.00 [ 0] 10.00 - 20.00 [ 0] 20.00 - 30.00 [ 0] 30.00 - 40.00 [ 0] 40.00 - 50.00 [ 0] 50.00 - 60.00 [ 0] 60.00 - 70.00 [ 0] 70.00 - 80.00 [ 0] 80.00 - 90.00 [ 0] 90.00 - 100.00 [224] ████████████████████████████████████████ Memory Efficiency (%) --------------------- 0.00 - 10.00 [0] 10.00 - 20.00 [0] 20.00 - 30.00 [0] 30.00 - 40.00 [0] 40.00 - 50.00 [0] 50.00 - 60.00 [0] 60.00 - 70.00 [0] 70.00 - 80.00 [0] 80.00 - 90.00 [0] 90.00 - 100.00 [3] ████████████████████████████████████████ Time Efficiency (%) --------------------- 0.00 - 10.00 [224] ████████████████████████████████████████ 10.00 - 20.00 [ 0] 20.00 - 30.00 [ 0] 30.00 - 40.00 [ 0] 40.00 - 50.00 [ 0] 50.00 - 60.00 [ 0] 60.00 - 70.00 [ 0] 70.00 - 80.00 [ 0] 80.00 - 90.00 [ 0] 90.00 - 100.00 [ 0] --------------------------------------------------------
The problem seems to only occur when all the values are in a single bin.
Note: I have tweaked the format for the bin labels in hist.py from termplotlib, but whether I do or not does not affect the miscounting.
hist.py
termplotlib
The text was updated successfully, but these errors were encountered:
Here is another example. The incorrect counting seems to be related to the number of jobs which failed with OUT_OF_MEMORY:
OUT_OF_MEMORY
-------------------------------------------------------- Job Information ID: 123456 Name: abc Cluster: cluster User/Group: auser/agroup Requested CPUs: 1 cores on 1 node(s) Requested Memory: 0.59G Requested Time: 7-00:00:00 -------------------------------------------------------- Job Status COMPLETED: 858 OUT_OF_MEMORY: 42 PENDING: 1 RUNNING: 768 -------------------------------------------------------- -------------------------------------------------------- Finished Job Statistics (excludes pending, running, and cancelled jobs) Average CPU Efficiency 99.38% Average Memory Usage 0.90G Average Run-time 13271.27s --------------------- CPU Efficiency (%) --------------------- 0.00 - 10.00 [ 0] 10.00 - 20.00 [ 1] 20.00 - 30.00 [ 0] 30.00 - 40.00 [ 0] 40.00 - 50.00 [ 0] 50.00 - 60.00 [ 0] 60.00 - 70.00 [ 0] 70.00 - 80.00 [ 0] 80.00 - 90.00 [ 0] 90.00 - 100.00 [899] ████████████████████████████████████████ Memory Efficiency (%) --------------------- 0.00 - 10.00 [ 0] 10.00 - 20.00 [ 0] 20.00 - 30.00 [ 0] 30.00 - 40.00 [ 0] 40.00 - 50.00 [ 0] 50.00 - 60.00 [ 0] 60.00 - 70.00 [ 0] 70.00 - 80.00 [ 0] 80.00 - 90.00 [ 0] 90.00 - 100.00 [42] ████████████████████████████████████████ Time Efficiency (%) --------------------- 0.00 - 10.00 [900] ████████████████████████████████████████ 10.00 - 20.00 [ 0] 20.00 - 30.00 [ 0] 30.00 - 40.00 [ 0] 40.00 - 50.00 [ 0] 50.00 - 60.00 [ 0] 60.00 - 70.00 [ 0] 70.00 - 80.00 [ 0] 80.00 - 90.00 [ 0] 90.00 - 100.00 [ 0] --------------------------------------------------------
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The display of the number of jobs in a bin seems in some cases to be incorrect for the memory efficiency, although the length of the bar is correct:
The problem seems to only occur when all the values are in a single bin.
Note: I have tweaked the format for the bin labels in
hist.py
fromtermplotlib
, but whether I do or not does not affect the miscounting.The text was updated successfully, but these errors were encountered: