Saren-Arterius

# Maintainer: Saren Arterius <[email protected]>
# Maintainer: Térence Clastres <[email protected]>

# Maintainer: Jan Alexander Steffens (heftig) <[email protected]>
# Maintainer: Ionut Biru <[email protected]>
# Contributor: Michael Kanis <mkanis_at_gmx_dot_de>

pkgname=mutter-performance
pkgver=3.34.0+14+g0e69fe078
pkgrel=1

Saren-Arterius

from selenium import webdriver
from selenium.webdriver.common.desired_capabilities import DesiredCapabilities
from selenium.webdriver.firefox.firefox_binary import FirefoxBinary
from time import sleep
import threading


caps = DesiredCapabilities().FIREFOX
#caps["pageLoadStrategy"] = "normal"  #  complete
caps["pageLoadStrategy"] = "eager"  #  interactive

Saren-Arterius

#!/bin/bash
set -x

echo "#Cloudflare" > /etc/nginx/conf.d/00_real_ip_cloudflare_00.conf;
ips=$(curl https://www.cloudflare.com/ips-v4)

iptables -F cloudflare;
iptables -N cloudflare;
iptables -C INPUT -p tcp -m multiport --dports http,https -j cloudflare || iptables -A INPUT -p tcp -m multiport --dports http,https -j cloudflare
iptables -A cloudflare -p tcp -m multiport --dports http,https -s 127.0.0.0/8 -j ACCEPT;

Saren-Arterius

Links

Question

PDF Version of this solution

Solution

The variables and functions are defined as follows:

import numpy as np

Saren-Arterius

diff --git a/hw/display/qxl.c b/hw/display/qxl.c
index 9087db5dee..f58af5251a 100644
--- a/hw/display/qxl.c
+++ b/hw/display/qxl.c
@@ -1183,6 +1183,10 @@ static const GraphicHwOps qxl_ops = {
     .gfx_update  = qxl_hw_update,
 };
 
+static unsigned long ref_time = 0;
+static unsigned long next_ref_time = 0;

Saren-Arterius

#!/usr/bin/env python3
from multiprocessing import Pool
from math import floor
from PIL import Image
from statistics import median_low
from os import listdir
from time import time

WIDTH = 3840
HEIGHT = 1634

Saren-Arterius

#!/usr/bin/env python3
# from PIL import Image
import subprocess
import uinput

INPUT_EVENT_ID = 13
X_MAX = 1216
Y_MAX = 680
slots = [None] * 10
# 2, 3, 1, 6, 4, 5, 0

Saren-Arterius

#!/usr/bin/env python3
from multiprocessing import Pool
from random import random

samples = 10000000
samples_mul = 8
states_repr = ['sleep', 'code', 'tg']
probs = [
  [0.8, 0.1, 0.1],
  [0.2, 0, 0.8],

Saren-Arterius

#!/usr/bin/env python3
from multiprocessing import Pool
from random import randint

longstr = str(2 ** 1000000) * 1000 # 280mb string
searches = [str(randint(10 ** 8, 10 ** 9)) for i in range(10000)]

def search_fn(s):
  return s, s in longstr

Saren-Arterius

let trainExp = 7;
let datasetSize = 2000;
let printValidateEvery = 100;
let epoches = 1000;
let validateRatio = 0.2;
let accuracyThreshold = 0.99999;
let shouldPassAccuracyThresholdAtLeastEpoch = 300;

let network;