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import gzip
import json
import requests
try:
    from cStringIO import StringIO
except:
    from StringIO import StringIO

# Let's fetch the Common Crawl FAQ using the CC index
resp = requests.get('http://index.commoncrawl.org/CC-MAIN-2015-27-index?url=http%3A%2F%2Fcommoncrawl.org%2Ffaqs%2F&output=json')

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pure:
nothrow:

// T[] = T[] op T[]
void arrayOp(string op, T)(T[] res, in T[] a, in T[] b)
in
{
    assert(res.length == a.length);
    assert(res.length == b.length);
}

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Latency Comparison Numbers
--------------------------
L1 cache reference                            0.5 ns
Branch mispredict                             5   ns
L2 cache reference                            7   ns             14x L1 cache
Mutex lock/unlock                            25   ns
Main memory reference                       100   ns             20x L2 cache, 200x L1 cache
Compress 1K bytes with Zippy              3,000   ns
Send 1K bytes over 1 Gbps network        10,000   ns    0.01 ms
Read 4K randomly from SSD*              150,000   ns    0.15 ms

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// NOTE: This class is now part of vibe.d, see http://vibed.org/api/vibe.stream.stdio/StdFileStream

class StdFileStream : ConnectionStream {
	private {
		std.stdio.File m_file;
		TaskPipe m_readPipe;
		TaskPipe m_writePipe;
		Thread m_readThread;
		Thread m_writeThread;
	}

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class PipedProcess {
	import stdfilestream;

	private {
		ProcessPipes m_pipes;
		StdFileStream m_stdout;
		StdFileStream m_stdin;
		Thread m_waitThread;
		SysTime m_startTime;
		SysTime m_endTime;

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Using Google Cloud Vision API's OCR to extract text from photos and scanned documents

Just a quickie test in Python 3 (using Requests) to see if Google Cloud Vision can be used to effectively OCR a scanned data table and preserve its structure, in the way that products such as ABBYY FineReader can OCR an image and provide Excel-ready output.

The short answer: No. While Cloud Vision provides bounding polygon coordinates in its output, it doesn't provide it at the word or region level, which would be needed to then calculate the data delimiters.

On the other hand, the OCR quality is pretty good, if you just need to identify text anywhere in an image, without regards to its physical coordinates. I've included two examples:

####### 1. A low-resolution photo of road signs

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#!/usr/bin/env bash

# Loads and mounts an ISO over SMB via the
# SuperMicro IPMI web interface
#
# usage: supermicro-mount-iso.sh <ipmi-host> <smb-host> <path>
#  e.g.: supermicro-mount-iso.sh 10.0.0.1 10.0.0.2 '\foo\bar\windows.iso'

set -x

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#!/bin/bash

# Root Check
if [ $(whoami) != 'root' ]; then
        echo "ERROR: Must be root to run $0"
        exit 1;
fi

TRUSTED_PORTS=( swp1 swp3 )

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Running Windows software on the Raspberry Pi (and other ARM devices) with Wine

Contents

• Introduction
• Configuring a 3G/1G VM split (32-bit distros only)
• Installing Wine
  • Building Wine
• Running Windows software
• Build using Winelib

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ALL
      All messages in the mailbox; the default initial key for
	ANDing.

ANSWERED
	Messages with the \Answered flag set.

BCC 
	Messages that contain the specified string in the envelope
	structure's BCC field.