DavidFricker

from tqdm import tqdm
from time import sleep
import psutil

with tqdm(total=100, desc='cpu%', position=1) as cpubar, tqdm(total=100, desc='ram%', position=0) as rambar:
    while True:
        rambar.n=psutil.virtual_memory().percent
        cpubar.n=psutil.cpu_percent()
        rambar.refresh()
        cpubar.refresh()

DavidFricker

from keras import backend
from keras.backend import numpy_backend
import numpy as np
import tensorflow as tf


class NPTF(object):

  def __getattr__(self, name):
    if name in dir(numpy_backend) and name in dir(backend):

DavidFricker

var net = require("net");

process.on("uncaughtException", function(error) {
  console.error(error);
});

if (process.argv.length != 5) {
  console.log("usage: %s <localport> <remotehost> <remoteport>", process.argv[1]);
  process.exit();
}

DavidFricker

import sys

def print_loading_bar(complete, total):
    complete_percentage = round((complete/total * 100), 2)
    if complete_percentage % 1 == 0:
        loading_bar  = (['='] * int(complete_percentage)) + (['>']) + (['-'] * (100 - 1 - int(complete_percentage)))
        
        sys.stdout.write("\r" + str(complete_percentage) + "%: "+ ''.join(loading_bar))
        sys.stdout.flush()

DavidFricker

def classification_report(y_true, y_pred, labels):
    '''Similar to the one in sklearn.metrics, reports per classs recall, precision and F1 score'''
    y_true = numpy.asarray(y_true).ravel()
    y_pred = numpy.asarray(y_pred).ravel()
    corrects = Counter(yt for yt, yp in zip(y_true, y_pred) if yt == yp)
    y_true_counts = Counter(y_true)
    y_pred_counts = Counter(y_pred)
    report = ((lab,  # label
               corrects[i] / max(1, y_true_counts[i]),  # recall
               corrects[i] / max(1, y_pred_counts[i]),  # precision

DavidFricker

sudo apt-get update

sudo apt-get install libxcomposite-dev -y
sudo apt-get install libxcursor1 -y
sudo apt-get install libxi6 libgconf-2-4 -y
sudo apt-get install libxtst6 -y
sudo apt-get install libnss3-dev -y
sudo apt-get install libcups -y
sudo apt-get install libxss1
sudo apt-get install libxrandr2

DavidFricker

/**
   Enables alphanumeric encoding and decoding of binary data for easy transportation over any medium
   Works using the GMP extension to avoid PHP's base_convert loss of preceision when working with large numbers e.g. a 256 bit key
   converts the binary to hex then to an arbitrary base, 62 is best in my experince
*/
class BinaryBaseChanger {
   const STORAGE_BASE = 16;

   public static function changeTo($binary_data, $base_to) {
      $hexadecimal = bin2hex($binary_data);