chore(release): versión 4.12.3

3 jobs for 4.12.3 in 1 minute and 22 seconds (queued for 2 minutes and 45 seconds)
latest
Status Job ID Name Coverage
  Check
passed #40980
code-analysis

00:00:20

failed #40981
lint-analysis

00:00:52

passed #40982
mccabe

00:00:08

 
Name Stage Failure
failed
lint-analysis Check
    check_call('%s %s' % (shell, tmpfile), shell=True)
File "/usr/lib64/python2.7/subprocess.py", line 542, in check_call
raise CalledProcessError(retcode, cmd)
CalledProcessError: Command 'sh /tmp/tmp_B4J5N/run' returned non-zero exit status 3
*************** BUILDOUT EGGSCLEANER ****************
No unused eggs in eggs directory
*************** /BUILDOUT EGGSCLEANER ****************
Cleaning up project directory and file based variables
ERROR: Job failed: exit status 1

Speed up your pipelines with Needs relationships

Using the needs keyword makes jobs run before their stage is reached. Jobs run as soon as their needs relationships are met, which speeds up your pipelines.

If you add needs to jobs in your pipeline you'll be able to view the needs relationships between jobs in this tab as a Directed Acyclic Graph (DAG).

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