lopespm

# (Variant #4 for exercise 16.2 on EPI (Elements of Programming Interviews)) (September 2018 edition)
# The core idea is calculate the levenshtein distance, while taking into account the special cases of the regex expression
# *, +, ? and . were taken into account for the regex expression. Expression blocks are not supported
# This algorithm uses recursion with memoization (could be transposed to a DP solution), yielding a O(mn) time complexity, O(mn) auxiliary space for cache and O(max(m,n)) function call stack
# (m and n are the lengths of regex and target strings respectively)
#
# Version using dynamic programming: https://gist.github.com/lopespm/2362a77e7bd230a4622a43709c195826

def regex_dist(regex: str, target: str):
    def regex_dist_aux(r_i, t_i):

bmaupin

# Cache sudo password
sudo -v

# Enable installation of 32-bit packages
sudo dpkg --add-architecture i386

# Enable the Ubuntu partner repository (this doesn't seem to be necessary for 20.04)
if [ $(lsb_release -r | awk '{print $2}') == '18.04' ]; then
    sudo sed -i 's/^# deb http:\/\/archive.canonical.com\/ubuntu/deb http:\/\/archive.canonical.com\/ubuntu/' /etc/apt/sources.list
    sudo apt update

RickStrahl

Mermaid

Mermaid is a JavaScript based parsing engine that allows you to embed blocks of graph markup into a page. Markdown Monster supports two different approaches using either code block or HTML tag syntax to embed the mermaid blocks.

@icon-warning Internal Preview Limitations

Note the MM internal preview can't properly display or refresh all chart types, but you can preview in your system browser via Shift-F12 to see proper representation.

Sequence Diagram

You can use a mermaid code block:

russss

import cv2
import numpy as np

def deskew(im, max_skew=10):
    height, width = im.shape

    # Create a grayscale image and denoise it
    im_gs = cv2.cvtColor(im, cv2.COLOR_BGR2GRAY)
    im_gs = cv2.fastNlMeansDenoising(im_gs, h=3)

matt-bailey

How to set up DNS records on gandi.net to use a custom domain on Github Pages

You would think it would be easy to find this information, but none of the Github or Gandi documentation is clear so I have recorded the required steps here.

Create the following A records:

@ 1800 IN A 185.199.108.153
@ 1800 IN A 185.199.109.153
@ 1800 IN A 185.199.110.153

andyrbell

# use ImageMagick convert
# the order is important. the density argument applies to input.pdf and resize and rotate to output.pdf
convert -density 90 input.pdf -rotate 0.5 -attenuate 0.2 +noise Multiplicative -colorspace Gray output.pdf

waterpump.ino

#include "InternetButton.h"
#include "math.h"

/**
 * Sensor calibration data:
 * Wet = 1520
 * Dry = 3120
 * (Calibrate this for yourself!)
 */

Piasy

brew options ffmpeg

brew install ffmpeg \
--with-chromaprint \
--with-fdk-aac \
--with-fontconfig \
--with-freetype \
--with-frei0r \
--with-game-music-emu \
--with-libass \

matsukaz

This query is to find geolocation of an IP address including latitude, longitude, city and country.

Legacy SQL doesn't support range conditions such as BETWEEN when using JOIN, so we need to filter data by WHERE. This means if IP address does not match any of the data inside geolite_city_bq_b2b, records will not be able to receive.

Use Standard SQL if you want to receive records no matter you succeed to find geolocation or not.

Please refer to the following post for more detail.

https://cloudplatform.googleblog.com/2014/03/geoip-geolocation-with-google-bigquery.html

eduncan911

Revert / Undo a Gist Commit

It was not exactly obvious. Here's how to revert a Gist commit!

Checkout the gist like a normal git repo:

# replace the Gist ID with your own
git clone git@github.com:cc13e0fcf2c348cc126f918e4a3917eb.git

Treat it like a normal repo. Edit, force push, etc.