This is an overview over the inner workings of Detexify. Extended knowlege in pattern recognition or machine learning is not necessary as I will explain some basics but understanding of linear algebra will definitely help. I have to note that I am not an expert, either. I more or less stumbled into this because of this project. Experts in this field may safely skip the first section.
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;; | |
;; NS CHEATSHEET | |
;; | |
;; * :require makes functions available with a namespace prefix | |
;; and optionally can refer functions to the current ns. | |
;; | |
;; * :import refers Java classes to the current namespace. | |
;; | |
;; * :refer-clojure affects availability of built-in (clojure.core) | |
;; functions. |
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echo 'export PATH=$HOME/local/bin:$PATH' >> ~/.bashrc | |
. ~/.bashrc | |
mkdir ~/local | |
mkdir ~/node-latest-install | |
cd ~/node-latest-install | |
curl http://nodejs.org/dist/node-latest.tar.gz | tar xz --strip-components=1 | |
./configure --prefix=~/local | |
make install # ok, fine, this step probably takes more than 30 seconds... | |
curl https://www.npmjs.org/install.sh | sh |
Moved, see VIM Cheatsheet
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t = 236 # seconds | |
Time.at(t).utc.strftime("%H:%M:%S") | |
=> "00:03:56" | |
# Reference | |
# http://stackoverflow.com/questions/3963930/ruby-rails-how-to-convert-seconds-to-time |
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class Graph: | |
def __init__(self): | |
self.nodes = set() | |
self.edges = defaultdict(list) | |
self.distances = {} | |
def add_node(self, value): | |
self.nodes.add(value) | |
def add_edge(self, from_node, to_node, distance): |
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