turicas

#!/usr/bin/env python
# coding: utf-8

# You need PIL <http://www.pythonware.com/products/pil/> to run this script
# Download unifont.ttf from <http://unifoundry.com/unifont.html> (or use
# any TTF you have)
# Copyright 2011 Álvaro Justen [alvarojusten at gmail dot com]
# License: GPL <http://www.gnu.org/copyleft/gpl.html>

from image_utils import ImageText

psobot

from Queue import Queue
import subprocess
import threading
import traceback
import logging
import time

log = logging.getLogger(__name__)

"""

tobek

/* open up chrome dev tools (Menu > More tools > Developer tools)
 * go to network tab, refresh the page, wait for images to load (on some sites you may have to scroll down to the images for them to start loading)
 * right click/ctrl click on any entry in the network log, select Copy > Copy All as HAR
 * open up JS console and enter: var har = [paste]
 * (pasting could take a while if there's a lot of requests)
 * paste the following JS code into the console
 * copy the output, paste into a text file
 * open up a terminal in same directory as text file, then: wget -i [that file]
 */

chekunkov

# -*- coding: utf-8 -*-
"""Anki add-on which adds "Notes in CSV format" option of Export desc dialog.

Copyright (c) 2015 Alex Chekunkov

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is

yakovsh

/*
* One of the questions that recently came up is how to remove vowels from Hebrew characters in Unicode
* (or any other similar language). A quick look at Hebrew Unicode chart shows that the vowels are all
* located between 0x0591 (1425) and 0x05C7 (1479). With this and Javascript's charCodeAt function, it
* is trivial to strip them out with Javascript as follows
*
* Live demo is available here:
* https://jsfiddle.net/js0ge7gn/
*/

cburgdorf

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

training_data = np.array([[0,0],[0,1],[1,0],[1,1]], "float32")
target_data = np.array([[0],[1],[1],[0]], "float32")

model = Sequential()
model.add(Dense(32, input_dim=2, activation='relu'))
model.add(Dense(1, activation='sigmoid'))

akiross

jeffg-dev

Install TensorFlow (CPU), Keras, and some other tools to a new anaconda environment.

Open Anaconda Prompt

conda create --name tensorflow35 python=3.5
conda activate tensorflow35
conda install jupyter
conda install scipy
conda install spyder
pip install tensorflow 

ironic-name

fun isEmailValid(email: String): Boolean {
  return Pattern.compile(
    "^(([\\w-]+\\.)+[\\w-]+|([a-zA-Z]|[\\w-]{2,}))@"
    + "((([0-1]?[0-9]{1,2}|25[0-5]|2[0-4][0-9])\\.([0-1]?"
    + "[0-9]{1,2}|25[0-5]|2[0-4][0-9])\\."
    + "([0-1]?[0-9]{1,2}|25[0-5]|2[0-4][0-9])\\.([0-1]?"
    + "[0-9]{1,2}|25[0-5]|2[0-4][0-9]))|"
    + "([a-zA-Z]+[\\w-]+\\.)+[a-zA-Z]{2,4})$"
  ).matcher(email).matches()
}

Pulimet

private var navController: NavController? = null

override fun onCreate(savedInstanceState: Bundle?) {
    super.onCreate(savedInstanceState)
    setContentView(R.layout.activity_main)
    setNavigationAndToolBar()
}

private fun setNavigationAndToolBar() {
    setSupportActionBar(toolbar)