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Home Collection were music compilations made by fans for fans
and sold as CDs on flea market in post-soviet Minsk. At that
time, which is around 2000, the internet was overly expensive,
the salaries were extremely low. Flavoring juice on the table
was a sign of a celebration. Normally we would rather count
cash and buy beer to socialize once in a few weeks.
* [ ] https://archive.org/
Home Collection was a way to discover new music, which was not
# public domain code
# useful for csv output etc.
def format_table(rows, headers):
"""Format list of tuples into equal width table with headers"""
maxlens = [len(h) for h in headers]
for r in rows:
for i, c in enumerate(r):
maxlens[i] = max(maxlens[i], len(c))
tpltpl = []
@abitrolly
abitrolly / tosca.notes
Last active January 25, 2022 19:06
TOSCA
TOSCA is a way to describe application infrastructure. Designed by comittee called OASIS.
If you want to look at it, start with Eclipse Winery.
Because Winery is a Java app, nobody runs online demo, so you need to run it yourself
(there is probably a fresh recorded demo somewhere, so post a link if you've seen one)
Winery is a UI that allows you to draw diagrams that are then saved as CSAR files.
CSAR files contain TOSCA diagrams in YAML format that defines infrastructure like
{
project(fullPath: "gitlab-org/gitlab") {
name
issues {
nodes {
iid
timelogs {
nodes {
spentAt
timeSpent
@abitrolly
abitrolly / busy.png
Last active July 30, 2021 15:39
Capacity Based Approach to DevOps
busy.png
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@abitrolly
abitrolly / gist:2fad741274d7620c1f6ca9cc0b8ddd8e
Last active April 29, 2021 10:01
Dependency Tracking / Mapping
Master thread - https://discourse.sustainoss.org/t/dependency-mapping-working-group/569 - see Agenda items there.
* https://deps.cloud/ - some initiative to detect and parse dependencies
* https://github.com/dependabot/dependabot-core - it somehow parses GitHub files
1 0.008 3
1 0.012 4
1 0.005 2
1 0.016 5
1 0.002 1
1 0.008 3
1 0.002 1
1 0.002 1
1 0.005 2
1 0.005 2
@abitrolly
abitrolly / Scraping.ipynb
Created March 1, 2021 12:03
Parsing Movies for Sex
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