Click here.
No root privileges are required to install or use this code.
# Using gource to visualize a repository's git history | |
# | |
# You'll need gource and ffmpeg (available through homebrew on OS X) | |
# | |
# Run this frim within a repository | |
gource \ | |
--key --background 000000 --logo MEDLogoBLK.jpg --file-idle-time 30 --max-file-lag 1 \ | |
--title "lsst.afw: making of a library" --colour-images -a .1 --user-scale 1 \ | |
--multi-sampling --bloom-multiplier 1 --bloom-intensity 0.75 --highlight-all-users \ |
########################################## | |
# Cleanup of the environment for the demo | |
rm -f ~/.eups/default | |
rm -rf ~/demo | |
rm -rf ~/miniconda | |
##################################################### | |
# Demo of miniconda | |
# |
Click here.
No root privileges are required to install or use this code.
Verify the ordering is not buggy:
In [1]: from conda.resolve import normalized_version as nv
In [2]: a = nv('master_gac1855abae.0125')
In [3]: b = nv('master.20150626170402.post157')
In [4]: c = nv('master.20150928224422.post8')
#!/bin/bash | |
# | |
# From $EUPS_DIR, run as: | |
# (git reset --hard && git checkout master && ./configure --prefix=$PWD --with-eups=$PWD/stack) && ./testUserTag.sh | |
# | |
set -e | |
export EUPS_DIR=$(cd $(dirname $0); pwd) | |
rm -rf ~/.eups |
All these are already installed on epyc.
kafkacat
(conda install -c conda-forge kafkacat
)
kt
(grab it from https://github.com/fgeller/kt/releases)
kafka-*
(come with kafka, if you yum install
if from Confluent's repo, or via Docker if you're so inclined). Warning -- JVM based and dreadfully slow.
jq
(conda install -c conda-forge jq
or use your favorite package manager)
This gist describes how to clone the SSSC conda
environment (and jupyter
kernel) on epyc
into your own directory where you can install your own packages into.
This will continue using the LSST stack from the SSSC directory, but you will be able to override (i.e., setup
, in the EUPS sense) individual packages by editing your copy of env-setup.sh
(see below).
##
## make sure you're using bash, and bring conda to your path
##