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import json
import subprocess
import pendulum  # pip install pendulum

# Note: This is a hacky, quick solution prototyped in less than an hour, the ideal solution would involve using boto3 and other best practices auth

# ensure that your AWS CLI is configured and has the keys and default region set up. This script works in the default region

instance_cmd = """
aws ec2 describe-instances \

t27

Thanks to u/IAmBeardPerson on https://www.reddit.com/r/Notion/comments/elh20k/videos_on_html_export_not_properly_exported_fix/

<script>
    var videos = document.getElementsByClassName("source");
    for (var i = 0; i < videos.length; i++) {
        var source = videos[i].getElementsByTagName("a");
        if (source[0].href.includes("youtube")) {
            var videoObject = document.createElement('iframe');
            videoObject.src = source[0].href.replace("watch?v=", "embed/");
            videos[i].style.padding = "0";

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for /f "tokens=1 delims=." %a in ('dir /B *.webm') do ffmpeg -i "%a.webm" -c:v copy -crf 0 "%a.mp4"

# here "ffmpeg -i "%a.webm" -c:v copy -crf 0 "%a.mp4" is the command to repeat

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// Code for a bouncing ball animation in p5 Js
function setup() {
  createCanvas(400, 400);
  // frameRate(12)
}
u = 0
x = 200
y = 100
y_top = 100
last_ch = 60

t27

! Ublock Origin rules to hide the Amazon.com Cart sidebar that can't be officially hidden

! hide the sidebar
www.amazon.com###nav-flyout-ewc
www.amazon.com###nav-flyout-anchor

! ensure the rest of the site covers full width
www.amazon.com##body:style(padding-right: 0px !important)

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# ensure you have activated the environment
python -m ipykernel install --user --name my_env --display-name "Python (my_env)"

# this will create a Jupyter kernel called my_env that will use the python binary and the packages from the current project

t27

import numpy as np

q_word_idx = [1,2,4,7,6,2]
a_idx = [1,1,5,6,4,2]
q_word_idx = np.array(q_word_idx)
a_idx = np.array(a_idx)

q_vector_size = 8
a_vector_size = 8

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# Got this from https://linuxhint.com/crop_videos_linux/
ffmpeg -i in.mp4 -filter:v "crop=out_w:out_h:x:y" out.mp4

# Where:

#     “in.mp4” refers to the input file to be converted
#     “out.mp4” is the name of the output file to be saved after conversion
#     out_w is the width of your desired output rectangle to which the original video’s width will be reduced
#     out_h is the height of your output rectangle to which the original video’s height will be reduced
#     x and y are the position coordinates for the top left corner of your desired output rectangle

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# https://trac.ffmpeg.org/wiki/Create%20a%20thumbnail%20image%20every%20X%20seconds%20of%20the%20video
ffmpeg -i input.flv -vf fps=1 out%d.png

# fps is number of images per second

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Dealing with the Linux OOM Killer at the program level

Do this in cases when you dont want to change the os-level settings, but only want to disable the OOM killer for a single process. This is useful when youre on a shared machine/server.

The OOM killer uses the process level metric called oom_score_adj to decide if/when to kill a process. This file is present in /proc/$pid/oom_score_adj. The oom_score_adj can vary from -1000 to 1000, by default it is 0.

You can add a large negative score to this file to reduce the probability of your process getting picked and terminated by OOM killer. When you set it to -1000, it can use 100% memory and still avoid getting terminated by OOM killer.