Markus Siemens msiemens

I use PlantUML a lot. It's what I use for drawing all sorts of diagrams and it's handy because of its easy markup (once you get used to it) while making things easy to maintain as projects grow (thanks to version control)

This gist explains how I do my PlantUML workspace in a project.

The idea is to keep a globals directory for all diagrams to follow (like the "stylesheet" below) to keep things consistent.
I use a stylesheet.iuml file that keeps the use of colors consistent through use of basic FOREGROUND, BACKGROUND and ACCENT colors.
The style-presets.iuml file defines these colors so you can make "presets" or "themes" out of them.
As stated in the stylesheet.iuml, you'll need the Roboto Condensed and Inconsolata fonts for these to work properly.
You can choose to either run the PlantUML jar over your file/s, or use an IDE like VSCode with the PlantUML extension. Here's a preview of example-sequence.puml for example: https://imgur.com/Klk3w2F

Libraries

Web Server: Play (framework) or http4s (library)
Actors: akka
Asynchronous Programming: monix (for tasks, reactors, observables, scheduler etc)
Authentication: Silhouette
Authorization: Deadbolt
Command-line option parsing: case-app
CSV Parsing: kantan.csv
DB: doobie (for PostgreSQL)

Installing OpenSSL for Rust on Windows with MSVC

When using MSVC Rust on Windows, everything typically works out of the box, up until you decide to do some web stuff with hyper. Suddenly a new dependency, openssl, is failing to build and you have no idea how to fix it. Fortunately this guide is here to save you!

WARNING: OpenSSL 1.1 support was only added in `openssl-sys = "0.9"`. Older versions only support up to OpenSSL 1.0.2. sfackler/rust-openssl#452

First you will need to download and install OpenSSL itself. You can download an installer from http://slproweb.com/products/Win32OpenSSL.html. In particular you want the newest version and not the light version. Make sure it matches the version of Rust you have, if you're using x86_64-pc-windows-msvc you will want Win64, and if you're using i9686-pc-windows-msvc you will want Win32. For the purpose of example I have installed Win64 OpenSSL v1.0.2h.
If all went well you should now have OpenSSL installed somewh

Shakespeare Sonnet++ Postmortem (incident #465)

Date

2015-10-21

Authors

jennifer
martym

	### README
	# This Python scripts exports all the OneNote notebooks linked to your Microsoft account to HTML files.

	## Output
	# The notebooks will each become a subdirectory of the `output` folder, with further subdirectories
	# for the sections within each notebook and the pages within each section. Each page is a directory
	# containing the HTML file `<page-name>.html` and its images and attachments. I changed to create
	# sepearte directories for `images` and `attachments` as my Markdown editor (obsidian) would show
	# this directories seperately what didn't look nice in the File-Tree. Like this, images and Attachments
	# are not shown in the tree but within the Markdown which is what I wanted. Any sub-pages will be

	#!/bin/sh

	if pwd \| grep /mnt/c > /dev/null; then
	exec git.exe "$@"
	else
	exec /usr/bin/git "$@"
	fi

	import re

	# run ./git-most.sh > most.txt before this script
	# adjust whitelist var if you only want to see changes to a certain filetype/file/path

	most_changed_paths = {}
	whitelist = '' # '.yml'

	with open('most.txt') as f:
	for line in f.readlines():

	### README
	# This Python scripts exports all the OneNote notebooks linked to your Microsoft account to HTML files.

	## Output
	# The notebooks will each become a subdirectory of the `output` folder, with further subdirectories
	# for the sections within each notebook and the pages within each section. Each page is a directory
	# containing the HTML file `main.html` and two directories `images` and `attachments` (if necessary)
	# for the images and attachments. Any sub-pages will be subdirectories within this one.

	## Setup

	"""
	Clean and simple Keras implementation of network architectures described in:
	- (ResNet-50) [Deep Residual Learning for Image Recognition](https://arxiv.org/pdf/1512.03385.pdf).
	- (ResNeXt-50 32x4d) [Aggregated Residual Transformations for Deep Neural Networks](https://arxiv.org/pdf/1611.05431.pdf).

	Python 3.
	"""

	from keras import layers
	from keras import models

	# <type>: (If applied, this commit will...) <subject> (Max 50 char)
	# \|<---- Using a Maximum Of 50 Characters ---->\|


	# Explain why this change is being made
	# \|<---- Try To Limit Each Line to a Maximum Of 72 Characters ---->\|

	# Provide links or keys to any relevant tickets, articles or other resources
	# Example: Github issue #23