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Using Wildcards and Regular Expressions
<= 2000" # list all my jobs with job ID between 1000 and 2000, inclusive qbjobs -expr "priority <= 100 && (status=failed || status=killed)" # list all my jobs with priority 100…How to use chunking in the submission UI
. There are efficiencies to be gained by going to a larger chunk size, but there are trade-offs. Qube can shuttle jobs on and off workers to make room for higher priority jobs…Using Wildcards and Regular Expressions
<= 2000" # list all my jobs with job ID between 1000 and 2000, inclusive qbjobs -expr "priority <= 100 && (status=failed || status=killed)" # list all my jobs with priority 100…Using Wildcards and Regular Expressions
<= 2000" # list all my jobs with job ID between 1000 and 2000, inclusive qbjobs -expr "priority <= 100 && (status=failed || status=killed)" # list all my jobs with priority 100…framesubmit.py
is a simple Python dictionary reference # # job = { # 'name' : 'job name', # 'priority' : , # 'branch' : '', # 'prototype…framesubmit.py
is a simple Python dictionary reference # # job = { # 'name' : 'job name', # 'priority' : , # 'branch' : '', # 'prototype…framesubmit.py
is a simple Python dictionary reference # # job = { # 'name' : 'job name', # 'priority' : , # 'branch' : '', # 'prototype…framesubmit.py
is a simple Python dictionary reference # # job = { # 'name' : 'job name', # 'priority' : , # 'branch' : '', # 'prototype…framesubmit.py
is a simple Python dictionary reference # # job = { # 'name' : 'job name', # 'priority' : , # 'branch' : '', # 'prototype…framesubmit.py
is a simple Python dictionary reference # # job = { # 'name' : 'job name', # 'priority' : , # 'branch' : '', # 'prototype…