Kyle McDonald kylemcdonald

## download-cpra.py
import requests
import json
from itertools import count
import os
import sys
import urllib3
from multiprocessing.dummy import Pool
from tqdm import tqdm
from ratelimit import limits, sleep_and_retry

## tumbleword.py
"""
For Tumbleword by Jer Thorp
https://tumbleword.glitch.me/
"""

from collections import defaultdict
from time import time
import random

start_word = 'charade'

## Audio Normalizer.ipynb

      
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                kylemcdonald
                / Audio Normalizer.ipynb
            
            
              Created
              November 16, 2022 07:59
            
              
                Normalize audio based on local peaks.
              
          
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## split.py
import subprocess

track_fn = 'audio.wav'
timestamps_fn = 'timestamps.csv'

with open(timestamps_fn) as f:
    lines = f.read().splitlines()
lines = [e.split(',')[2] for e in lines]

cmd_string = 'ffmpeg -hide_banner -loglevel error -i {tr} -acodec copy -ss {st} -to {en} {nm}'

## compare.sh
#!/bin/bash -x
python get_block_speed_sync_ipc.py
python get_block_speed_async_http.py
node get_block_speed_sync_ipc.js
python get_block_speed_sync_ipc_raw.py
node get_block_speed_async_ipc.js

## droplet-setup.md

      
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                kylemcdonald
                / droplet-setup.md
            
            
              Created
              September 14, 2021 04:26
            
              
                Setting up a Digital Ocean droplet for node.js
              
          
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    Get the $IP from Digital Ocean and use the same $USERNAME as your main computer.
ssh root@$IP
adduser $USERNAME
usermod -aG sudo $USERNAME
ufw allow OpenSSH
ufw enable
rsync --archive --chown=$USERNAME:$USERNAME ~/.ssh /home/$USERNAME


## long_run_gray_codes.frag
// Generated using code from https://stackoverflow.com/a/66555635/940196
// More info on LRGC http://emis.impa.br/EMIS/journals/EJC/Volume_10/PDF/v10i1r27.pdf
const int lrgc_2[4] = int[](0,1,3,2);
const int lrgc_3[8] = int[](0,1,3,2,6,7,5,4);
const int lrgc_4[16] = int[](0,1,3,7,15,11,9,8,12,13,5,4,6,14,10,2);
const int lrgc_5[32] = int[](0,1,3,7,15,31,29,25,17,16,18,2,10,14,12,28,20,21,23,19,27,11,9,13,5,4,6,22,30,26,24,8);
const int lrgc_6[64] = int[](0,1,3,7,15,31,63,62,58,42,40,32,36,37,5,21,17,25,27,11,10,14,46,38,54,50,48,49,33,41,9,13,29,28,30,26,18,2,34,35,39,55,53,61,57,56,24,8,12,4,6,22,23,19,51,59,43,47,45,44,60,52,20,16);
const int lrgc_7[128] = int[](0,32,33,35,39,103,111,127,125,93,89,81,80,16,18,2,10,42,46,44,60,124,116,117,119,87,83,91,75,11,9,13,5,37,36,38,54,118,126,122,120,88,72,64,65,1,3,7,15,47,63,61,57,121,113,112,114,82,66,74,78,14,12,28,20,52,53,55,51,115,123,107,105,73,77,69,68,4,6,22,30,62,58,56,40,104,96,97,99,67,71,79,95,31,29,25,17,49,48,50,34,98,106,110,108,76,92,84,85,21,23,19,2

## Search SMAT Data.ipynb

      
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                kylemcdonald
                / Search SMAT Data.ipynb
            
            
              Created
              February 9, 2021 23:09
            
              
                Build plots of term frequency on Parler using SMAT data collected by Aliapoulios, et al.
              
          
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## setup.sh

CV_VERSION=4.5.1

cd ~

sudo apt update
sudo apt-get install -y \
    build-essential \
    cmake \
    gfortran \

## make-multithumbnails.py
"""
This file reads a list of Parler video IDs and generates "multithumbnails" (a sequence of 9 evenly-spaced thumbnails).
The multithumbnails are stored in the multithumbnails/linear and multithumbnails/rect directories.
linear/ puts the thumbnails side-by-side in a linear sequence.
rect/ puts the thumbnails in a 3x3 rectangle.
To run, download this script from GitHub then:
git clone https://github.com/kylemcdonald/python-utils.git utils
sudo apt install python3 python3-pip
pip3 install --user --upgrade pip
pip3 install --user numpy ffmpeg-python opencv-python pillow
	import requests
	import json
	from itertools import count
	import os
	import sys
	import urllib3
	from multiprocessing.dummy import Pool
	from tqdm import tqdm
	from ratelimit import limits, sleep_and_retry
	"""
	For Tumbleword by Jer Thorp
	https://tumbleword.glitch.me/
	"""

	from collections import defaultdict
	from time import time
	import random

	start_word = 'charade'
	import subprocess

	track_fn = 'audio.wav'
	timestamps_fn = 'timestamps.csv'

	with open(timestamps_fn) as f:
	lines = f.read().splitlines()
	lines = [e.split(',')[2] for e in lines]

	cmd_string = 'ffmpeg -hide_banner -loglevel error -i {tr} -acodec copy -ss {st} -to {en} {nm}'
	#!/bin/bash -x
	python get_block_speed_sync_ipc.py
	python get_block_speed_async_http.py
	node get_block_speed_sync_ipc.js
	python get_block_speed_sync_ipc_raw.py
	node get_block_speed_async_ipc.js
	// Generated using code from https://stackoverflow.com/a/66555635/940196
	// More info on LRGC http://emis.impa.br/EMIS/journals/EJC/Volume_10/PDF/v10i1r27.pdf
	const int lrgc_2[4] = int[](0,1,3,2);
	const int lrgc_3[8] = int[](0,1,3,2,6,7,5,4);
	const int lrgc_4[16] = int[](0,1,3,7,15,11,9,8,12,13,5,4,6,14,10,2);
	const int lrgc_5[32] = int[](0,1,3,7,15,31,29,25,17,16,18,2,10,14,12,28,20,21,23,19,27,11,9,13,5,4,6,22,30,26,24,8);
	const int lrgc_6[64] = int[](0,1,3,7,15,31,63,62,58,42,40,32,36,37,5,21,17,25,27,11,10,14,46,38,54,50,48,49,33,41,9,13,29,28,30,26,18,2,34,35,39,55,53,61,57,56,24,8,12,4,6,22,23,19,51,59,43,47,45,44,60,52,20,16);
	const int lrgc_7[128] = int[](0,32,33,35,39,103,111,127,125,93,89,81,80,16,18,2,10,42,46,44,60,124,116,117,119,87,83,91,75,11,9,13,5,37,36,38,54,118,126,122,120,88,72,64,65,1,3,7,15,47,63,61,57,121,113,112,114,82,66,74,78,14,12,28,20,52,53,55,51,115,123,107,105,73,77,69,68,4,6,22,30,62,58,56,40,104,96,97,99,67,71,79,95,31,29,25,17,49,48,50,34,98,106,110,108,76,92,84,85,21,23,19,2

	CV_VERSION=4.5.1

	cd ~

	sudo apt update
	sudo apt-get install -y \
	build-essential \
	cmake \
	gfortran \
	"""
	This file reads a list of Parler video IDs and generates "multithumbnails" (a sequence of 9 evenly-spaced thumbnails).
	The multithumbnails are stored in the multithumbnails/linear and multithumbnails/rect directories.
	linear/ puts the thumbnails side-by-side in a linear sequence.
	rect/ puts the thumbnails in a 3x3 rectangle.
	To run, download this script from GitHub then:
	git clone https://github.com/kylemcdonald/python-utils.git utils
	sudo apt install python3 python3-pip
	pip3 install --user --upgrade pip
	pip3 install --user numpy ffmpeg-python opencv-python pillow