leostera

from selenium import webdriver
from selenium.webdriver.common.keys import Keys

usr = ""
pwd = ""

driver = webdriver.Firefox()
# or you can use Chrome(executable_path="/usr/bin/chromedriver")
driver.get("http://www.facebook.org")
assert "Facebook" in driver.title

lelandbatey

Description

This simple script will take a picture of a whiteboard and use parts of the ImageMagick library with sane defaults to clean it up tremendously.

The script is here:

#!/bin/bash
convert "$1" -morphology Convolve DoG:15,100,0 -negate -normalize -blur 0x1 -channel RBG -level 60%,91%,0.1 "$2"

Results

def-

import getch

let ch = getch()
echo ch

hasherezade

%{
#include "brainfuck.tab.h"
#include <string.h>
#include <stdlib.h>

void error()
{
  fprintf(stdout, "Plik niepoprawny pod wzglêdem leksykalnym. Linia: %d\n", yylineno);
  exit(1);
}

josyb

'''
Created on 29 Dec 2015

@author: Josy
'''
from __future__ import print_function

import random

import myhdl

josyb

There is a web-page where Adam Taylor lists 10 alternative FPGA development languages: http://www.eetimes.com/document.asp?doc_id=1329857 On some languages the OO-word was used ... I commented that the only thing I have seen so far from these languages is that they are (truly) class based but that I haven't seen any real example. Yet, as I did not study them to their deepest extent, having not enough time and too much other work ...

I already use class-based design for my MyHDL work, see my gist https://gist.github.com/josyb/afd84c9a06fdec77f2fd, but this is not OO as none of these classes have been subclassed.

In stead of doing some real work today (Sat Oct 22nd 2016), I decided to give OO in MyHDL a try. You can see the results in the two next files.

ericjang

def sample_gumbel(shape, eps=1e-20): 
  """Sample from Gumbel(0, 1)"""
  U = tf.random_uniform(shape,minval=0,maxval=1)
  return -tf.log(-tf.log(U + eps) + eps)

def gumbel_softmax_sample(logits, temperature): 
  """ Draw a sample from the Gumbel-Softmax distribution"""
  y = logits + sample_gumbel(tf.shape(logits))
  return tf.nn.softmax( y / temperature)

christopher-beckham

from lasagne.nonlinearities import *
from lasagne.layers import Layer

class SpatialSoftmaxLayer(Layer):
    """
    Softmax layer that computes the softmax over pixels in the same location,
    i.e., over the channel axis. This layer will automatically use the CuDNN
    version of this softmax if it is available.
    
    Parameters

mshkrebtan

Run Cisco Webex on 64-bit Ubuntu 16.04

With Audio and Screen Sharing Enabled

Enable support for 32-bit executables

Add the i386 architecture to the list of dpkg architectures :

sudo dpkg --add-architecture i386

kevinzakka

"""
Create train, valid, test iterators for CIFAR-10 [1].
Easily extended to MNIST, CIFAR-100 and Imagenet.

[1]: https://discuss.pytorch.org/t/feedback-on-pytorch-for-kaggle-competitions/2252/4
"""

import torch
import numpy as np