Flashkard Printed Output
I tested the PostScript part with some sample data, and it worked fine. So, on to the next step, which is translating the XML from FlashKard into what is needed to drive the PostScript code. Two pieces are needed here. First, I need the XSL that I have to write. Second, I need a program to read the XSL and the XML files from FlashKard and then output the PostScript to send to the printer.
The easy part was finding the program; xsltproc is exactly this program. One thing down. It now was time to write something in a language I had never seen before. But, could it be worse than writing in an RPN language?
As it turns out, there really isn't much to do. After some XSL boilerplate (<xsl:stylesheet ...>), I needed to define the output format to be text, as HTML is the default. What text means is "anything else". This is done with
<xsl:output method="text">
The first thing I want to output is the PostScript program itself. This is done by including it immediately after a <xsl:template match="/"> tag. The match of / matches the whole XML, so it is processed at the start of the file. Note that I have put the %!PS on the same line as the XSL tag. This is necessary so that the printer can see this as the beginning of the first line of data. Otherwise, the print spooler thinks this is more text and prints rather than interprets the PostScript.
There is one other XSL tag before the matching </xsl:template> tag, which is <xsl:apply-templates/>. This tells xsltproc that any other matching template is to be applied here.
One other template has a match expression of match="e". This matches the block describing an individual card, and it is explained in a comment to the FlashKard article. Within that block is an o block for the original language entry and a t block for the translation. Using the value-of feature, I grab these values, put them in parenthesis and follow them with either front or back.
That's it folks. Assuming the XSL in in ks.xsl, entering the command
xsltproc ks.xsl creatures.kvtml | lpr
gives you your first set of flashcards.
As I mentioned before, this is a proof of concept. Generalizing the PostScript, dealing with line folding and writing a shell script wrapper for this command line would clean things up and make a useful program.
Copyright (c) 2004, Phil Hughes. Originally published in Linux Gazette issue 98. Copyright (c) 2004, Specialized Systems Consultants, Inc.
Phil Hughes, Group Publisher of SSC, likes to get his hands dirty every now and then. But, you won't find him driving a car with an automatic transmission or using Emacs.
Phil Hughes
Realizing the promise of Apache® Hadoop® requires the effective deployment of compute, memory, storage and networking to achieve optimal results. With its flexibility and multitude of options, it is easy to over or under provision the server infrastructure, resulting in poor performance and high TCO. Join us for an in depth, technical discussion with industry experts from leading Hadoop and server companies who will provide insights into the key considerations for designing and deploying an optimal Hadoop cluster.
Sponsored by AMD
If you already use virtualized infrastructure, you are well on your way to leveraging the power of the cloud. Virtualization offers the promise of limitless resources, but how do you manage that scalability when your DevOps team doesn’t scale? In today’s hypercompetitive markets, fast results can make a difference between leading the pack vs. obsolescence. Organizations need more benefits from cloud computing than just raw resources. They need agility, flexibility, convenience, ROI, and control.
Stackato private Platform-as-a-Service technology from ActiveState extends your private cloud infrastructure by creating a private PaaS to provide on-demand availability, flexibility, control, and ultimately, faster time-to-market for your enterprise.
Sponsored by ActiveState
| Non-Linux FOSS: libnotify, OS X Style | Jun 18, 2013 |
| Containers—Not Virtual Machines—Are the Future Cloud | Jun 17, 2013 |
| Lock-Free Multi-Producer Multi-Consumer Queue on Ring Buffer | Jun 12, 2013 |
| Weechat, Irssi's Little Brother | Jun 11, 2013 |
| One Tail Just Isn't Enough | Jun 07, 2013 |
| Introduction to MapReduce with Hadoop on Linux | Jun 05, 2013 |
- Containers—Not Virtual Machines—Are the Future Cloud
- Non-Linux FOSS: libnotify, OS X Style
- Validate an E-Mail Address with PHP, the Right Way
- RSS Feeds
- Lock-Free Multi-Producer Multi-Consumer Queue on Ring Buffer
- Introduction to MapReduce with Hadoop on Linux
- Help with Designing or Debugging CORBA Applications
- New Products
- Returning Values from Bash Functions
- Linux Systems Administrator
Featured Jobs
| Linux Systems Administrator | Houston and Austin, Texas | Host Gator |
| Senior Perl Developer | Austin, Texas | Host Gator |
| Technical Support Rep | Houston and Austin, Texas | Host Gator |
| UX Designer | Austin, Texas | Host Gator |
| Web & UI Developer (JavaScript & j Query) | Austin, Texas | Host Gator |
Free Webinar: Hadoop
How to Build an Optimal Hadoop Cluster to Store and Maintain Unlimited Amounts of Data Using Microservers
Realizing the promise of Apache® Hadoop® requires the effective deployment of compute, memory, storage and networking to achieve optimal results. With its flexibility and multitude of options, it is easy to over or under provision the server infrastructure, resulting in poor performance and high TCO. Join us for an in depth, technical discussion with industry experts from leading Hadoop and server companies who will provide insights into the key considerations for designing and deploying an optimal Hadoop cluster.
Some of key questions to be discussed are:
- What is the “typical” Hadoop cluster and what should be installed on the different machine types?
- Why should you consider the typical workload patterns when making your hardware decisions?
- Are all microservers created equal for Hadoop deployments?
- How do I plan for expansion if I require more compute, memory, storage or networking?



18 min 41 sec ago
1 hour 55 min ago
1 hour 57 min ago
3 hours 50 min ago
6 hours 39 min ago
11 hours 52 min ago
11 hours 54 min ago
11 hours 56 min ago
11 hours 58 min ago
12 hours 24 min ago