MrYakobo

# based on https://github.com/wzell/mann/blob/master/models/maximum_mean_discrepancy.py
# that didn't work for me on tensorflow

import tensorflow as tf

def gaussian_kernel(x1, x2, beta = 1.0):
    r = tf.transpose(x1)
    r = tf.expand_dims(r, 2)
    return tf.reduce_sum(K.exp( -beta * K.square(r - x2)), axis=-1)
  

MrYakobo

#!/usr/bin/env python3

import base64
import json
import fileinput

for jwt in fileinput.input():
    parts = jwt.split(".")

    # '==' is padding

MrYakobo

#!/usr/bin/env python3

# takes text on stdin and stores it in the clipboard
# depends on gtk (i.e. a gnome desktop or something alike)

import gi
gi.require_version('Gtk', '3.0')
from gi.repository import Gtk, Gdk
import fileinput

MrYakobo

#!/usr/bin/env python3

import subprocess
import json
import os
import math
import sys

def human_readable_size(size_bytes):
    """Convert bytes to human-readable file size."""