Israel Teixeira israelst

## setup_manjaro.md

      
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                israelst
                / setup_manjaro.md
            
            
              Created
              August 1, 2023 14:48
            
              
                Setup Manjaro with dual boot and SSD Encryption
              
          
    Pre-install

First, I resized the Windows partition using the native Windows disk partition tool. Then, I've disabled the secure boot, so I can boot using the USB drive.
First attempt

This happened probably because the /boot folder was encrypted, and the passphrase happens before grub loads. At this point, the additional keyboard layout is not set up, so I probably typed the wrong password.
After a few seconds (as the grub decryption is slower than the root decryption), I received the following error and was left in the grub rescue state. This behavior is described here.
Workaround

As I'm using dual boot in the same storage device, I naively installed Manjaro entirely within a single encrypted partition by choosing the "Replace partition" option during the partition installation step.

  
## plot.awk
#!/usr/bin/awk -f

# This program is a copy of guff, a plot device. https://github.com/silentbicycle/guff
# My copy here is written in awk instead of C, has no compelling benefit.
# Public domain. @thingskatedid

# Run as awk -v x=xyz ... or env variables for stuff?
# Assumptions: the data is evenly spaced along the x-axis

# TODO: moving average

## getAllColors.js
const els = document.querySelectorAll('*');
const isColorProperty = property => property.toLowerCase().indexOf('color') > -1;
colors = new Set();
for(el of els)
  for(property in getComputedStyle(el))
    if(isColorProperty(property))
      colors.add(getComputedStyle(el)[property])

console.dir(colors.entries())

## overlay.css
.overlay{
  position: relative;
}

.overlay > *{
  position: relative;
  z-index: 1;
}

.overlay:before{

## chunk_indexes.py
def chunk_indexes(size, chunk_size):
    start = (size % chunk_size) or chunk_size
    upper_boundary = list(range(start, size + 1, chunk_size))
    lower_boundary = [0] + upper_boundary[:-1]
    return zip(lower_boundary, upper_boundary)

## GNIP_Historical_parse.py
# coding: utf-8
import json
fd = open('all.json')
lines = fd.readlines()
tweets = map(json.loads, lines)
ptBR_tweets = filter(lambda l: l['language']=='pt', tweets)

## keys_from_dicts.py
def keys_from_dicts(dicts):
    all_keys = sum(map(dict.keys, dicts), [])
    return list(set(all_keys))

## mini-gitflow-example.sh
(master) $ # starting a new task
(master) $ git pull --ff-only upstream master
(master) $ git checkout -b feature/new-task
(feature/new-task) $ # some coding
(feature/new-task) $ git add -p
(feature/new-task) $ git commit -m "The answer of all questions of the universe"
(feature/new-task) $ git push origin feature/new-task
(feature/new-task) $ # Do a pull request from feature/new-task to master and wait for coworker acceptance
(feature/new-task) $ git checkout master
(master) $ git pull --ff-only upstream master

## preprocess.js
function preprocess(post){
    var flatPost = post.insights.data.reduce(function(post, insight){
        post[insight.name] = insight.values[0].value;
        return post;
    }, {});

    flatPost.likes = post.likes.summary.total_count;
    flatPost.comments = post.comments.summary.total_count;
    flatPost.shares = (post.shares || {'count': 0}).count;


## insights.html
<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8" />
    <title>Curto Café Facebook Page</title>
    <script src="preprocess.js" charset="utf-8"></script>
    <script src="http://d3js.org/d3.v3.min.js" charset="utf-8"></script>
    <script src="http://syntagmatic.github.io/parallel-coordinates/d3.parcoords.js" charset="utf-8"></script>
    <link href="http://syntagmatic.github.io/parallel-coordinates/d3.parcoords.css" rel="stylesheet" />
</head>
	#!/usr/bin/awk -f

	# This program is a copy of guff, a plot device. https://github.com/silentbicycle/guff
	# My copy here is written in awk instead of C, has no compelling benefit.
	# Public domain. @thingskatedid

	# Run as awk -v x=xyz ... or env variables for stuff?
	# Assumptions: the data is evenly spaced along the x-axis

	# TODO: moving average
	const els = document.querySelectorAll('*');
	const isColorProperty = property => property.toLowerCase().indexOf('color') > -1;
	colors = new Set();
	for(el of els)
	for(property in getComputedStyle(el))
	if(isColorProperty(property))
	colors.add(getComputedStyle(el)[property])

	console.dir(colors.entries())
	.overlay{
	position: relative;
	}

	.overlay > *{
	position: relative;
	z-index: 1;
	}

	.overlay:before{
	def chunk_indexes(size, chunk_size):
	start = (size % chunk_size) or chunk_size
	upper_boundary = list(range(start, size + 1, chunk_size))
	lower_boundary = [0] + upper_boundary[:-1]
	return zip(lower_boundary, upper_boundary)
	# coding: utf-8
	import json
	fd = open('all.json')
	lines = fd.readlines()
	tweets = map(json.loads, lines)
	ptBR_tweets = filter(lambda l: l['language']=='pt', tweets)
	def keys_from_dicts(dicts):
	all_keys = sum(map(dict.keys, dicts), [])
	return list(set(all_keys))
	(master) $ # starting a new task
	(master) $ git pull --ff-only upstream master
	(master) $ git checkout -b feature/new-task
	(feature/new-task) $ # some coding
	(feature/new-task) $ git add -p
	(feature/new-task) $ git commit -m "The answer of all questions of the universe"
	(feature/new-task) $ git push origin feature/new-task
	(feature/new-task) $ # Do a pull request from feature/new-task to master and wait for coworker acceptance
	(feature/new-task) $ git checkout master
	(master) $ git pull --ff-only upstream master
	function preprocess(post){
	var flatPost = post.insights.data.reduce(function(post, insight){
	post[insight.name] = insight.values[0].value;
	return post;
	}, {});

	flatPost.likes = post.likes.summary.total_count;
	flatPost.comments = post.comments.summary.total_count;
	flatPost.shares = (post.shares \|\| {'count': 0}).count;
	<!DOCTYPE html>
	<html lang="en">
	<head>
	<meta charset="UTF-8" />
	<title>Curto Café Facebook Page</title>
	<script src="preprocess.js" charset="utf-8"></script>
	<script src="http://d3js.org/d3.v3.min.js" charset="utf-8"></script>
	<script src="http://syntagmatic.github.io/parallel-coordinates/d3.parcoords.js" charset="utf-8"></script>
	<link href="http://syntagmatic.github.io/parallel-coordinates/d3.parcoords.css" rel="stylesheet" />
	</head>