If a job is running a system groovy script, it cannot be simply "aborted"
You need to go to $jenkins_url/script and run the contents of the attched script, replacing the original job_line
content with the path (from URL) of your job
""" | |
A Python decorator is a special function that can be added above a | |
callable definition (function, class, anything that implements the | |
`__call__()` method) | |
When a decorated function is called, it is in fact the decorator | |
itself that is called, and the wrapped callable is then normally | |
called by the implementing handler of the decorator. | |
A Python decorator is comprised of 3 parts: |
The Love2D wiki is a great starting resource. Mostly I do small-time game development for fun, on long flights or train journeys, or out in remote places. Frankly, it's the only time when I am guaranteed time to not be disturbed for sufficiently long periods.
And so, I need the main wiki in local, offline, usable format.
This script is a considereate slurper which shouldn't DoS the server in the slightest.
As a network behaviour demonstration, I did a repeated clone-out of a Git repository, writing its timestamp data with date '+%F %T'
in columns one and two (start and end times) of a CSV
This Python script processes that CSV to produce a plot of the durations:
datetime
matplotlib.pyplot
""" Rename files | |
rename-tracks.py TRACKFILE [apply] | |
TRACKFILE is a basic text file, each line containing a track name. | |
This script naively looks for the track name in each file name. | |
If found, the old file name and new file name are printed. | |
If a title matches multiple files, an error is raised. |
import sys | |
from collections import namedtuple | |
# A friendlier named object for working with each output line | |
Analysis = namedtuple("Analysis", [ | |
"NLOC", # Count of number of active LOC (excl whitespace) | |
"CCN", # Cyclomatic Complexity Number | |
"token", # token count: how many syntactic tokens ("if", "[", "5", etc) are used in the functions | |
"PARAM", # number of parameters to the function |
I was curious to know what level of precision I could get when using time.sleep(x)
,
like, if it made any sense to try and sleep for say 0.0132
seconds.
It turns out, it does. On a Windows machine with a 1.6GHz processor, I get a sample rate such:
$ python3 time_sampling.py 6
Average step over 1000000 (100.0%) iterations: 2.77e-07
Quick one-off script to convert a yaml file to native python.
python3 convert-yaml-to-python.py YAMLFILE > my_data.py
A little naive, but a quick tool otherwise.
import yaml | |
import os | |
class RecursiveYamlLoad(Exception): | |
pass | |
def mingw_path(path): | |
#TODO not yet finished | |
""" Running Python in MinGW (incl Git Bash) causes abspath() to mangle the path |