Incorrect display of number of jobs in bin for memory histogram (length of bar correct) #27
Description
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:
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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]
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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.