Play with "Argo Workflow" in your local kind
cluster.
The following instructions were tested in macOS Catalina (10.15.6), on 6 Sep 2020.
Ensure docker
is installed and running.
#!/usr/bin/python | |
## rigidtransformation.py | |
# | |
# This file contains both, the functions to compute the rigid transformation | |
# between two sets of points and an illustrative example on how does all it works. | |
# This rigid transformation calculations are only concerned to the rotation and | |
# translation transformations, they do not consider the scaling transformations. | |
# | |
# This implementation is based on [1] and it works like the following: |
# This is a simple CMakeLists to test out globbing patterns | |
# | |
# . | |
# ├── CMakeLists.txt | |
# ├── file1.h | |
# ├── file2.h | |
# ├── file3.txx | |
# └── file4.txx | |
cmake_minimum_required(VERSION 3.20) |
<geaaru> __aure__: | |
https://github.com/Sabayon/community-repositories/#structure-of-a-repository | |
[12:43] | |
<geaaru> for building we now use mottainaici | |
(https://mottainaici.github.io/docs/) and our tasks are available | |
there: https://github.com/Sabayon/sbi-tasks [12:44] | |
<geaaru> but there isn't a clean documentation for final users | |
<__aure__> I see. I will have a look :) [12:45] | |
<geaaru> we could avoid use of mottainaici with simple run of the | |
sabayon/builder and execute sark-localbuild script |
class A(): | |
def __init__(self, attr1): | |
self.attr1 = attr1 | |
def __getitem__(self, key): | |
print('__getitem__ called') | |
return getattr(self, key) | |
def __setitem__(self, key, value): |