In preparation for my PyCon talk on HTML I thought I’d do a performance comparison of several parsers and document models.
The situation is a little complex because there’s different steps in handling HTML:
- Parse the HTML
- Parse it into something (a document object)
- Serialize it
Some libraries handle 1, some handle 2, some handle 1, 2, 3, etc. For instance, ElementSoup uses ElementTree as a document, but BeautifulSoup as the parser. BeautifulSoup itself has a document object included. HTMLParser only parses, while html5lib includes tree builders for several kinds of trees. There is also XML and HTML serialization.
So I’ve taken several combinations and made benchmarks. The combinations are:
- lxml: a parser, document, and HTML serializer. Also can use BeautifulSoup and html5lib for parsing.
- BeautifulSoup: a parser, document, and HTML serializer.
- html5lib: a parser. It has a serializer, but I didn’t use it. It has a built-in document object (simpletree), but I don’t think it’s meant for much more than self-testing.
- ElementTree: a document object, and XML serializer (I think newer versions might include an HTML serializer, but I didn’t use it). It doesn’t have a parser, but I used html5lib to parse to it. (I didn’t use the ElementSoup.)
- cElementTree: a document object implemented as a C extension. I didn’t find any serializer.
- HTMLParser: a parser. It didn’t parse to anything. It also doesn’t parse lots of normal (but maybe invalid) HTML. When using it, I just ran documents through the parser, not constructing any tree.
- htmlfill: this library uses HTMLParser, but at least pays a little attention to the elements as they are parsed.
- Genshi: includes a parser, document, and HTML serializer.
- xml.dom.minidom: a document model built into the standard library, which html5lib can parse to. (I do not recommend using minidom for anything — some reasons will become apparent in this post, but there are many other reasons not covered why you shouldn’t use it.)
I expected lxml to perform well, as it is based on the C library libxml2. But it performed better than I realized, far better than any other library. As a result, if it wasn’t for some persistent installation problems (especially on Macs) I would recommend lxml for just about any HTML task.
You can try the code out here. I’ve included all the sample data, and the commands I ran for these graphs are here. These tests use a fairly random selection of HTML files (355 total) taken from python.org.
Parsing
The first test parses the documents. Things to note: lxml is 6x faster than even HTMLParser, even though HTMLParser isn’t doing anything (lxml is building a tree in memory). I didn’t include all the things html5lib can parse to, because they all take about the same amount of time. xml.dom.minidom is only included because it is so noticeably slow. Genshi is fairly fast, but it’s the most fragile of the parsers. html5lib, lxml, and BeautifulSoup are all fairly similarly robust. html5lib has the benefit of (at least in theory) being the correct parsing of HTML.
While I don’t really believe it matters often, lxml releases the GIL during parsing.
Serialization
Serialization is pretty fast across all the libraries, though again lxml leads the pack by a long distance. ElementTree and minidom are only doing XML serialization, but there’s no reason that the HTML equivalent would be any faster. That Genshi is slower than minidom is surprising. That anything is worse than minidom is generally surprising.
Memory
The last test is of memory. I don’t have a lot of confidence in the way I made this test, but I’m sure it means something. This was done by parsing all the documents and holding the documents in memory, and using the RSS size reported by ps to see how much the process had grown. All the libraries should be imported when calculating the baseline, so only the documents and parsing should cause the memory increase.
HTMLParser is a baseline, as it just keeps the documents in memory as a string, and creates some intermediate strings. The intermediate strings don’t end up accounting for anything, since the memory used is almost exactly the combined size of all the files.
A tricky part of this measurement is that the Python allocator doesn’t let go of memory that it requests, so if a parser creates lots of intermediate strings and then releases them the process will still hang onto all that memory. To detect this I tried allocating new strings until the process size grew (trying to detect allocated but unused memory), but this didn’t reveal much — only the BeautifulSoup parser, serialized to an lxml tree, showed much extra memory.
This is one of the only places where html5lib with cElementTree was noticeably different than html5lib with ElementTree. Not that surprising, I guess, since I didn’t find a coded-in-C serializer, and I imagine the tree building is only going to be a lot faster for cElementTree if you are building the tree from C code (as its native XML parser would do).
lxml is probably memory efficient because it uses native libxml2 data structures, and only creates Python objects on demand.
In Conclusion
I knew lxml was fast before I started these benchmarks, but I didn’t expect it to be quite this fast.
 You can use it in ways you couldn’t use other systems. You can parse, serialize, parse, serialize, and repeat the process a couple times with your HTML before the performance will hurt you. With high-level constructs many constructs can happen in very fast C code without calling out to Python. As an example, if you do an XPath query, the query string is compiled into something native and traverses the native libxml2 objects, only creating Python objects to wrap the query results. In addition, things like the modest memory use make me more confident that lxml will act reliably even under unexpected load.
I also am more confident about using a document model instead of stream parsing. It is sometimes felt that streamed parsing is better: you don’t keep the entire document in memory, and your work generally scales linearly with your document size. HTMLParser is a stream-based parser, emitting events for each kind of token (open tag, close tag, data, etc). Genshi also uses this model, with higher-level stuff like filters to make it feel a bit more natural. But the stream model is not the natural way to process a document, it’s actually a really awkward way to handle a document that is better seen as a single thing. If you are processing gigabyte files of XML it can make sense (and both the normally document-oriented lxml and ElementTree offer options when this happens). This doesn’t make any sense for HTML. And these tests make me believe that even really big HTML documents can be handled quite well by lxml, so a huge outlying document won’t break a system that is appropriately optimized for handling normal sized documents.
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Followed your twitter to this post. Looks like Genshi doesn’t do so bad, except for the serialization. That’s cool about lxml.
Ian, thanks for posting these, they are very useful. We’ve been fretting about what to do with our ever-slower developer test suite for launchpad.net, which does a LOT of BeautifulSoup parsing of generated pages for testing. Looks like lxml deserves some serious consideration.
BTW, for acceptance testing [WebTest](http://pythonpaste.org/webtest/) already includes lxml support (admittedly trivial to implement). You can do
assert app.get('/some_page').lxml.xpath('//div[contains(., 'something')]')
. I think XPath would be quite useful for doing testing-related queries. (There’s also BeautifulSoup support with.html
, and etree XML parsing with.xml
, so WebTest is fairly agnostic.)Not really surprising that lxml does so well, it’s been very good for quite some time. I would have personally found interesting that you analyzed a bit more the set of random HTML files you used. Were they mainly well-formed, XHTML possibly, big files, containing lots of nested structures? The results would’ve be even more meaningful had we known that kind of information I think. Any chance you comment there?
I would be very curious about the part on memory allocation. I’ve been working on XMPP lately and therefore have used a sax parser baseline for the XML stream exchanged but have indeed found the fact the memory was not freed was a big issue on the long run. Any tips? That’d help.
The results aren’t all that much of a surprise, but I do have to wonder in the case of beautifulsoup how much of the performance difference is traded off (quite happily) in exchange for ability to successfully parse broken html.
Can I ask if you have a pointer to some discussion of why minidom sucks? (Apart from this speed issue, that is, which is illuminating but not disastrous.) I’ve used it in the past because it was in the stdlib and I assumed that was a vote of confidence, but now I’m worried that it’ll come back to bite me….
Ian: what do you mean elementtree (c or otherwise) doesn’t include a parser? What’s your definition of a parser? Do you mean it hasn’t got an HTML parser? (It clearly parses XML to an ET object …)
> Genshi is fairly fast, but it’s the most fragile of the parsers.
Details? The HTML parser in Genshi is based pretty much directly on HTMLParser, only with some added fixups for bad nesting.
For the serialization, the quality of the results seems to vary wildly. minidom and ElementTree simply produce XML output, which you would not be able to simply use as HTML on the web without things breaking (for example,
[script src]
elements without a closing tag, or escaping the contents of[script]
elements.) Genshi produces HTML you can use in the wild, and I assume lxml does that too.(BTW you’re comment system is stripping out script tags even in code spans)
Reproducing the serialization tests with Genshi trunk, I see 2.99s for serialization versus 3.21s for html5_minidom. So at least it doesn’t seem to be slower anymore :P But the real improvement comes from disabling whitespace stripping, which I guess none of the other serializers do:
That reduces the time taken to 1.78s on my machine. Probably still a bit slower than the rest, but at least it should produce good HTML ;)
One last minor comment about the memory use test: for Genshi, your test keeps the entire parsed document in memory. You ”could” set the Genshi test up in a way that would parse and serialize in a completely streaming fashion (using
genshi.input.HTMLParser
). That would take some tweaks to the test infrastructure, so that the test types would be passed file objects that would be closed externally.Anyway, just saying this test in no way demonstrates the advantage of streaming on memory use. On the other hand, I’m not arguing that there is an advantage for most use cases, either.
An interesting post, Ian! I think I’ll try the code out with libxml2dom (http://www.python.org/pypi/libxml2dom) and see if the performance is in line with lxml.html, since they should both use the same bits of libxml2.
More on the suckishness of minidom, please.
I’ve never been able to make much sense of the SAX-style “event” parsing, and always create a document tree. I’ve done it with and without minidom. Parsing without minidom is sometimes painful because I have to invent a class structure for the document, and some types of documents (HTML, XML representations of spreadsheets) have so many tags that I get dizzy trying to work out the classes. Parsing with minidom means struggling with their ineffective and brain-dead search capabilities; but at least I’ve got a structure that I can visit.
Thanks for showing these results Ian! It’s nice to see lxml (my baby too) do so well here. Stefan Behnel has been doing awesome work for the last few years in making lxml rock, and thanks for your HTML work too, which already was quite useful in a few of my own projects. Nothing could be done without all the great work by the libxml2 hackers, of course.
Anyway, people asked why minidom sucks. The answer would be to look at Ian’s benchmarks. :) Anyway, I don’t know the details as I never did the analysis, but I’ll give you the lore:
minidom for years has been doing very bad in various Python/XML benchmarks. It tends to gobble up inordinate amounts of memory compared to the competition, and in exchange it gives you DOM access that is relatively slow. It also doesn’t offer much in the way of other features (say, xpath). Finally, the DOM API isn’t a great API in the first place, especially from a Python perspective.
In general, excepting the ElementTree bits that are now in the library, the Python XML support in the standard library is inferior to some of what’s out there outside the standard library, in the API, feature and performance departments all. In addition, the Python XML project which theoretically works on this code base has been dead for some time now. If you’re going to do XML parsing with just the standard library, I’d recommend using the ElementTree bits. That’s not to say the other bits are absolutely useless – I’ve built quite a bit on the SAX support over the years, and while it’s low-level it’s reasonable for what it does (but again there ElementTree offers iterparse).
Remember that there are things in the standard library like xml.dom.pulldom which can be very useful. However, it’s a shame that PyXML has been more or less abandoned, since it could have fed things like XPath into the standard library. Instead, we’ve now got a lot of code which isn’t seeing very much maintenance, but which may be seeing a fair amount of use.
Bryan: these are all tests of HTML parsers, and ElementTree doesn’t include an HTML parser.
Josef, Christopher Lenz: I haven’t done any thorough tests, but from a couple examples I tried lxml seemed to parse a bit better than BeautifulSoup, and generally lxml parsed documents the same way as html5lib. In order to get HTMLParser to parse the pages from python.org (which themselves are relatively clean, but many were written by hand) I had to delete some doctypes that had bad syntax, as I remember, and a couple other things (some weird tags, I think, like
<a<p>
). Then when I added Genshi I also had to delete some conditional comments in a Word export (like<![if something]>...<![endif>
). The other parsers all at least ignored that. Of course, Genshi isn’t really intended to be used to parse random content on the web, so I don’t know if this really matters.Finally, on minidom:
I haven’t used minidom a great deal. When I have used it, it does technically work. It has methods like
getElementById
which doesn’t work (but pretends to work). When I asked about it I got some vague answer about DTDs and document modes. The packages aren’t very well maintained. There used two be two implementations, the standard library, and PyXML which provided the same packages but on a faster release cycle. This pretty much killed the standard library advantage, because you couldn’t rely on the libraries working in a consistent way. Now that PyXML is basically dead, at least the code is stable. But the code itself is also dead. Given that minidom has no particularly good attributes, I don’t think it’s worth using. And now with ElementTree in the standard library it’s an even clearer choice.While lxml used to be hard to get installed on a Mac, I haven’t had trouble with it recently. OK, as I was typing that, I decided to fact-check myself. Running “easy_install lxml” with the system Python (2.5 on Leopard) tried to build lxml-2.1alpha1 and failed with a variety of errors. Changing that to ‘easy_install “lxml==1.0″‘ worked fine.
I think Fredrik would tell you that ElementTree leaves you the task to write the parser that fits your need and that’s why there is no HTML parser per se in its core. I think I recall him saying something along those lines anyway.
The current cElementTree implementation falls back on the Python serializer, but the next release will use an internal fast serializer for most cases.
As for HTML parsing, that’s a huge topic, and lots of folks have worked hard on that, pretty much all without getting it entirely right (but once HTML5 stabilizes, I’m sure we’ll see fast C/C++ implementations of that approach). But if someone wants to contribute a fast, self-contained HTML parser in C or Python that’s on par with BeautifulSoup but produces a SAX-style event stream instead, be my guest ;-)
(where’s Tidy, btw? Benchmarking a tidy->xhtml->xml parser pipeline could be somewhat interesting, I think.)
I think it’s fine that ElementTree doesn’t include a parser, it’s totally legitimate to choose that partitioning. And right now I don’t think an HTML parser belongs in the standard library.
There is a pure-Python parser that generates a SAX-style event stream: html5lib. It’s accurate but for now slow. Not surprising since it is a reference implementation. (There seems to be an incomplete C parser in the html5lib project too?)
There is a fast C implementation of HTML parsing available: lxml. Or using just the simpler underlying libxml2 Python bindings (which I believe are rather unsafe, but as long as you use them carefully I guess they’d be okay). It would be very easy to write an lxml to ElementTree translator, but so far no one has bothered (which is unsurprising, really).
Tidy would be interesting, maybe I’ll try coding that up. However, it is by far the least accurate parser. In the Bad Old Days I used to use it, and it chewed up HTML quite badly. It isn’t just a tool for interpreting the ambiguities of HTML, it’s a tool to “fix” both the ambiguities and style problems. Even if you give it conservative options I would be reluctant to trust it. I would not recommend it as a parsing tool.
Congratulations on making the front page of del.icio.us.
It seems like a thoroughly researched piece!
> There seems to be an incomplete C parser in the html5lib project too?
Indeed, there is the very beginning of a pure-C HTML5 parser in the html5lib project. This has stalled recently as I have had other things to keep me busy and my total inexperience as a C developer makes it a tough project to dip into intermittently. If anyone fancies picking it up and giving it a push, they are most welcome to; you should be able to catch me in #whatwg on irc.freenode.net if you have any questions.
“I would recommend lxml for just about any HTML task.”
You’re missing a crucial qualification here – I’d say “for just about any HTML task where performance matters“. 90% of the time when I’m parsing HTML, differences in speed and memory usage are totally insignificant. I’d certainly trade off an order of magnitude speed difference for even a slight benefit in ease-of-use.
Still, it’s good to see numbers on how big the performance difference is, and I’ll probably look into using lxml with BeautifulSoup some time in the future.
Dan: no, no qualification, I would recommend lxml for just about any HTML task.
Hi,
Some time ago I was looking for a fast html parse that could handle ‘bad html’ and the winner was libxml2. I just wanted a SAX parsing, because instead of a generic tree, we use other kind or data structures.
Excelent article,
Cesar
… and I wasn´t able to find an article like this. This post can save time to a lot of people.
Really nice article. Thanks.
Great overview of HTML parsers & friends! Very useful indeed.
Just one point about Mac OS X (10.4): I had no problem installing lxml! Just did a simple “sudo easy_install lxml”. libxml2 and Python were both installed in a quite standard way and without any pain (through Fink).
Hi
Is there any way to interpret javascript in Python?
example input:
document.write(‘<a href=”mailto:biuro’); document.write(‘@inprofi.pl”>biuro’); document.write(‘@inprofi.pl</a>’);
Sorry, but the website formatted example input into html. It was a code in javascript that concatenates some variables to generate an email address.
Well, hopefully you aren’t considering scraping email addresses…? You could look at python-spidermonkey, but the task isn’t all that easy, especially getting document.write to work.
Hi Ian Bicking
I like your posting on the lxml timing, however I have been working on some parsing with another programmer, however we are having some timing issues. Average 3 sec.
May I ask if you are a god on these type of scripts since I am aiming for a lower speed in which to process the data, if you are availible to assit can you please email me.
Many thanks Wayne
Hi Ian Bicking
I like your posting on the lxml timing, however I have been working on some parsing with another programmer, however we are having some timing issues. Average 3 sec.
May I ask if you are a god on these type of scripts since I am aiming for a lower speed in which to process the data, if you are availible to assit can you please email me.
Correction for the above post, Ian Bicking did not post at June 17, 2009 at 3:57 am for some reason the field auto filled and I did not notice it..
Many thanks Wayne
Like your other readers, I was surprised by your results.
I was also struck by my difficulty recognizing that your first graph was not meant to suggest a Gaussian (“Normal”) distribution, and then trying to match the graphs to your text.
Following Edward Tuft (htp://www.edwardtufte.com/), they would be easier to interpret if the values were sorted before creating the graphs. I hope you’ll excuse the character graphics, something like:
……………..Sec
..lxml.html 0.6|X
.MLParser 2.9|XXXX
.de.htmlfill 4.5|XXXXXXX
……Genshi 7.3|XXXXXXXXXXXX
.tifulSoup 10.6|XXXXXXXXXXXXXXXXX
mentTree 30.2|XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
..minidom 35.2|XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
………………………….+___________+___________+___________+___________+___________+________
given my inexperience with / incomprehension of “Markdown;” how DO you get an unordered list?
Thanks, and best wishes.
its not hard to install on ubuntu.
after you get the two components,
lxml can be done by
sudo apt-get install lxml-python
BAM!
I think you should invest some time in learning XPath. Parse the html string with lxml.html and then run xpath queries on that etree object. I bet it would simplify the code a lot (especially when you look for more information then just a node).
Wow, awesome tutorial, I was reading an out dated guide using xml.dom.ext.reader HtmlLib, I’m really happy I was able to find this ^__^
I finally got round to running the benchmarks with libxml2dom. Here are my results:
Parsing
[Chart](http://chart.apis.google.com/chart?chxl=0%3A|html5lib+simpletree+(38.5+sec)|html5lib+ElementTree+(39.7+sec)|HTMLParser+(4.1+sec)|libxml2dom+(0.7+sec)|&cht=bhs&chs=400×120&chd=e%3ABFGp..-E&chxt=y)
Serialising
(htmlparser omitted since it doesn’t serialise)
[Chart](http://chart.apis.google.com/chart?chxl=0%3A|html5simple+(2.2+sec)|html5et+(3.5+sec)|libxml2dom+(0.3+sec)|&cht=bhs&chs=400×90&chd=e%3AFf..oj&chxt=y)
Memory Usage
(“sec” in output manually changed to “MB”)
[Chart](http://chart.apis.google.com/chart?chxl=0%3A|html5lib+simpletree+(99.2+Mb)|html5lib+ElementTree+(64.0+Mb)|HTMLParser+(4.5+Mb)|libxml2dom+(26.3+Mb)|&cht=bhs&chs=400×120&chd=e%3AQ-C3pT..&chxt=y)
DeGroot points out that, while customers and suppliers may have their own ways of calculating dielectric constant, having a standardized IPC methodology will allow for better benchmarking of such attributes as frequency, classes of material types, and standardized test structures that are similar to practical signal traces.
I try to soup but it was very slow. So that I recomend eveyone to use lxml
Regards
what html parsing engine is used in Google Chrome?
This results are pretty much what I expected, but thanks anyway.


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Mimi 5.10.0 ChangeLog:
- Claim a post as your own
- Gallery grid keeps up with the latest image viewed
- Add board names to list of boards
- Sending feedback includes device info
- Fix unread dot showing up too often
- Library updates
You can now make a post somewhere else and claim it on Mimi so replies to that post show the (You) indicator
Mimi 5.9.13 ChangeLog:
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Mimi 5.9.11 ChangeLog:
- Attempt to fix thread jitter
- More stability fixes
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- Update libraries
Mimi <IP_ADDRESS> ChangeLog:
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- Update libraries
Mimi <IP_ADDRESS> ChangeLog:
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- Update libraries
Mimi <IP_ADDRESS> ChangeLog:
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Mimi <IP_ADDRESS> ChangeLog:
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Saving from the gallery should be a lot more reliable. If saves to the SD card are corrupted, make sure your SD card is still good. To test, try saving to internal memory.
Mimi <IP_ADDRESS> ChangeLog:
- Fix batch downloads
- Gallery loading more reliable
- Attempt to fix random crashes
This release has a big overhaul to the gallery. At worst, things should work the same. I'm hoping that gallery preloading was worth the effort.
Mimi <IP_ADDRESS> ChangeLog:
- Fix crash when clicking links to boards from within a thread
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- Re-added the option to close the gallery when an image is clicked
This release has a big overhaul to the gallery. At worst, things should work the same. I'm hoping that gallery preloading was worth the effort.
Mimi 5.9.8 ChangeLog:
- Media is preloaded when on wifi. Cell data will work the same as it always has.
- Added setting to always turn on or off preloading or keep the default of enabled on wifi
- Muting/unmuting a video will no longer restart the video
- Gallery preview grid is now square instead of waterfall
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- Attempted to fix the issue where images would stop loading in the gallery after browsing for a while
- Replaced legacy components in the gallery with more modern ones
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- Changed the logic on when unread posts notification is displayed
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This release has a big overhaul to the gallery. At worst, things should work the same. I'm hoping that gallery preloading was worth the effort.
Mimi 5.9.7 ChangeLog:
- Fixed crash when selecting files from the downloads folder
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- Update libraries
The Android system has a tendency to delete directories on the SD card after a reboot. If that happens to you, try saving to internal storage instead.
Mimi 5.9.6 ChangeLog:
- Batch download should open directory chooser more reliably
- Hopefully corrupted directories are a thing of the past
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Mimi 5.9.5 ChangeLog:
- Fixed issue where saved media would only show up after a device reboot (again)
- Fixed batch download notification sticking around forever
- Update libraries
Mimi 5.9.4 ChangeLog:
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Mimi 5.9.3 ChangeLog:
- Fixed duplicate file extensions when saving to your device
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Mimi 5.9.2 ChangeLog:
- Fixed potential issue with SSL connections
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Mimi 5.9.1 ChangeLog:
- Images and videos can be saved to the SD card (if available)
- Removed the option to turn off SSL
- Removed option for legacy captcha since it is no longer supported
- Fixed crashes with the free version
- Updated libraries


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About
I am a Computer Science Grad Student at Thakur College of engineering and technology. I enjoy problem-solving and coding. Always strive to bring 100% to the work I do. I have worked on technologies like Python, Django, Flask, MySQL, Reactjs, MongoDB, HTML5, CSS, Java, C++ during my bachelor's. I am passionate about developing complex applications that solve real-world problems impacting millions of users.
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Looking for an opportunity to work in a challenging position combining my skills in Software Engineering, which provides professional development, interesting experiences and personal growth.
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Education
Thakur College of engineering and technology, Mumbai University
Mumbai, India
Degree: Bachelor of Engineering in Computer Engineering
CGPA: 9.86
- Data Structures and Algorithms
- Database Management Systems
- Operating Systems
- Machine Learning
- Computer Networks
Relevant Courseworks:


PERMANENT MIDNIGHT (Artisan) Starring: Ben Stiller, Elizabeth Hurley, Maria Bello, Owen Wilson, Peter Greene. Screenplay: David Veloz, based on the memoir by Jerry Stahl. Producers: Jane Hamsher and Don Murphy. Director: David Veloz.  Reviewed by Scott Renshaw.
In the last few minutes of PERMANENT MIDNIGHT, writer/director David Veloz introduces a jarring element of irony to what had been a fairly straightforward dark night of the soul drama. It's the true story of Jerry Stahl (Ben Stiller), a successful television writer during the 1980s for such programs as "ALF" and "thirtysomething" who bottomed out as the result of heroin and cocaine addiction. The film's coda shows Stiller-as-Stahl, having written his confessional autobiography, appearing on a series of television talk shows to promote the book and bare his soul. In one of the film's best lines, Stahl explains in voice-over that the most humiliating thing he ever did as the result of his addiction was "appearing on 'Maury'."
A good gag, but also a pretty self-serving one. In an era when celebrity mea culpas are just another part of the public relations landscape, a film like PERMANENT MIDNIGHT has to work extra hard to function as an honest cautionary tale rather than a plea to love me, feel sorry for me, let me back into your hearts. The film makes sure we know about Stahl's troubled family life, including two suicidal parents, which already suggests that Stahl and/or writer/director David Veloz is pointing fingers outward as much as inward. That five minute montage of chat show appearances, however, acts almost as a slap in the face. Watching the character pitch his book -- which, of course, became the movie we're watching -- takes every harrowing moment which preceded and makes it cheap and exploitative. Instead of learning from his experience, we learn that a really good salesman can turn his tragedy into dollars.
That's truly a shame, because Stahl's story is given a harrowing conviction by Ben Stiller's performance. Though best known as a comic in films like the hit THERE'S SOMETHING ABOUT MARY, Stiller is a versatile performer who makes heroin addiction about as ugly as we've ever seen it.  What's fascinating about Stiller's performance is that there's never a moment when his character appears to be functional as an addict. He disappears instantly into a world of excuses and frantic searches for his next high.
Unfortunately, there's nothing besides Stiller's performance to make us care about PERMANENT MIDNIGHT. The two romantic angles which are supposed to give resonance to the story -- Stahl's marriage to a mid-level television executive (Elizabeth Hurley) and his post-rehab infatuation with fellow recovering addict Kitty (Maria Bello) -- are both undercut by the circumstances of their relationships. The marriage, though it produces a child, is primarily a way for his British wife to get a green card, and the romance with Kitty serves primarily as a device for Stahl to tell his story in flashback. There's not much at stake as we watch Stahl disintegrate, nor is there a particular reason to care if he's earned his second chance at love. He's just another cleaned-up Hollywood junk-head with a tale to tell, probably one of a thousand. The last five minutes of PERMANENT MIDNIGHT are as ill-conceived as any five minutes of film this year, because they make it look like Stahl is just a different kind of self-absorbed now. You're left with the uncomfortable feeling that for him, addiction is just a marketing hook.
On the Renshaw scale of 0 to 10 junk men: 5.
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Related links: index of all rec.arts.movies.reviews reviews


Files CCore/inc/task/ResSem.h CCore/src/task/ResSem.cpp
ResSem is used to control a resource usage. This class is a hybrid of the AntiSem and Sem. It has an internal counter, which remains in the range [0,max_count], where max_count is a ResSem counter limit. Initially the counter equals max_count. Like a usual semaphore, ResSem has take() and give() operations, but it has the additional "gateway" operation wait(), which blocks the calling thread until the counter gets back to its maximum value.
Return back to the basket with apples. Initially basket contains a number of apples. When somebody takes an apple, it must give it back after time. I.e. an apple is not consumed, but is borrowed. Basket host is waiting until all apples are returned.
class ResSem : public Funchor_nocopy
{
....
public:
// constructors
explicit ResSem(ulen max_count);
ResSem(TextLabel name,ulen max_count);
~ResSem();
// give
void give();
// take
bool try_take();
void take();
bool take(MSec timeout);
bool take(TimeScope time_scope);
// wait
bool try_wait();
void wait();
bool wait(MSec timeout);
bool wait(TimeScope time_scope);
// functions
Function<void (void)> function_give() { return FunctionOf(this,&ResSem::give); }
};
The constructor argument max_count is the maximum ResSem counter. It cannot be zero. Initially the counter is at that maximum.
give() increments the counter. If the counter is at maximum, the Abort() is called. This method may release threads, blocked by the method wait(). It also may release a thread, blocked by the method take(). These two situations cannot happens simultaneously.
try_take() tries to decrement the counter. This method never blocks. The return value is true, if the method was successful.
take() decrements the counter. It may block the calling thread indefinitely, until the operation becomes possible.
take(MSec) and take(TimeScope) are timed variants of the take(). These methods wait up to the specified timeout is expired, then operation failed. The return value is true, if the method was successful.
try_wait() checks, if the the counter is at maximum. This method never blocks.
wait() blocks the calling thread indefinitely until the the counter gets at maximum.
wait(MSec) and wait(TimeScope) are timed variants of the wait(). These methods wait up to the specified timeout is expired, then operation failed. The return value is true, if the method was successful.
HCore ResSem has the common interface.
class ResSem : public Funchor_nocopy
{
....
public:
// constructors
explicit ResSem(ulen max_count);
ResSem(TextLabel name,ulen max_count);
~ResSem();
// give
void give();
// take
bool try_take();
void take();
bool take(MSec timeout);
bool take(TimeScope time_scope);
// wait
bool try_wait();
void wait();
bool wait(MSec timeout);
bool wait(TimeScope time_scope);
// functions
Function<void (void)> function_give() { return FunctionOf(this,&ResSem::give); }
};
XCore ResSem is essentially the same, but has give() method variants for different execution contexts.
class ResSem : public Funchor_nocopy
{
....
public:
// constructors
explicit ResSem(ulen max_count);
ResSem(TextLabel name,ulen max_count);
~ResSem();
TextLabel getName() const { return name; }
// give
void give();
void give_int();
void give_any();
// take
bool try_take();
void take();
bool take(MSec timeout);
bool take(TimeScope time_scope);
// wait
bool try_wait();
void wait();
bool wait(MSec timeout);
bool wait(TimeScope time_scope);
// functions
Function<void (void)> function_give() { return FunctionOf(this,&ResSem::give); }
Function<void (void)> function_give_int() { return FunctionOf(this,&ResSem::give_int); }
Function<void (void)> function_give_any() { return FunctionOf(this,&ResSem::give_any); }
};


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IN COURT
Three teenagers murdered Edinburgh pensioner leaving him with 100 wounds because they were ‘out their nut’
by Dave FinlayTHREE teenagers were facing life sentences today after brutally murdering a pensioner in his home in a frenzied attack.
Keirin McMillan, 19, and his two accomplices, who were aged 16 and 15 at the time, inflicted over 100 injuries on Alasdair Forsyth in the fatal assault on the victim, who they had planned to rob.
One of the teenagers later said in a phone call recorded at a young offenders' institution: "It was for money.".
He added: "We were all just out our nut."
Advocate depute Stewart Ronnie told jurors at the High Court in Edinburgh: "This was a brutal, sustained attack on a 67-year-old man in his own home, involving weapons.
"And involving all three accused."
The trio had denied murdering Mr Forsyth on February 21 this year at his flat in Clearburn Road, in the Prestonfield area of Edinburgh, but all were found guilty of the offence.
They repeatedly struck the victim on the head and body with a screwdriver, hammer and wrench, his walking stick and picture frames.
They also kicked and stamped on him and robbed him of a tablet and a phone.
One of the youths, who is under 18 and cannot be named for legal reasons, was freed on bail at Edinburgh Sheriff Court the previous month.
The two younger killers were also found guilty of committing further attacks at a McDonalds at Sharpdale Loan, in Edinburgh and at the city's Cameron Toll shopping centre days before the
murder.
The trial judge, Lord Uist, told them: "You have each been convicted by the jury of a scandalous murder."
"The penalty for murder is fixed by law. In the case of you, Keirin McMillan, it will be that you will be detained in a young offenders' institution and liable to be detained for life," he said.
He told the two younger killers that they would be detained without limit of time.
The judge said he could not pass sentence on the trio today because he required background reports on them before fixing the minimum terms they must serve before they become eligible to apply
for parole.
Lord Uist told jurors after the youths were led off to cells that it had been "a very distressing case".

She said he had repeatedly talked about there being money in books in Mr Forsyth's home.
She said the 16-year-old had returned to her home "pretty wasted" and she asked McMillan if he had given him tablets, but he just laughed.
McMillan had originally faced a further charge of supplying diazepam to the teenager, but that was withdrawn during the trial.
McMillan later revealed he had taken street valium before the murder.
The three killers set off armed with weapons for Mr Forsyth's flat and emergency services were alerted because of a disturbance.
The first police officers on the scene went into the stairwell and could hear "excited" male voices coming down the stairs.
Before they met the blood-stained, youthful killers McMillan later told police: "The blood on my cottons is from my nosebleed and the blood on my trainers is from what happened there."
He did not appear to have a nose bleed. McMillan said of the victim that he could "handle himself" and did not need a walking stick.
He later went on to claim that he had tried to act as a peacemaker and intervened to help the victim as he was attacked by the two younger killers using the hammer and screwdriver.
The youngest killer said to an officer: "Do you know who I am?" He squared up to the policeman in a fighting stance but was handcuffed.
He later asked about his iPhone which he had lost.
Pathologists who examined the victim concluded that his death was caused by severe chest trauma, which was most likely because of the extensive rib fractures he suffered.
The victim sustained multiple broken ribs and extensive bruising and cuts in the fatal attack in his home.
All three youths were remanded in custody ahead of sentencing in January.


Filter
Filter component as the name suggests selects specific records from the input based on a filter condition. Filter is present under the Transform category in the component palette. It contains only one input,one output port and one unused port. All the records that satisfy the filter condition are available at the output port. Those records that do not satisfy the condition are transmitted through the unused port.
User is provided with options to create Java class or specify expressions. Java class includes the specified filter condition which is then applied on the input records. Optionally, user can also use the pre-defined standard Operation Classes, more details are provided in the Operation Class section Operation Class User can manually create Expressions or use the Predefined Expressions provided in the Expression Editor. Based on the expression provided the records are filtered by the Filter component.
The Filter component can be easily distinguished in the component palette.
An enlarged version of the same is depicted when dragged on the canvas.
For further reference click on the links below:


| Sr. No. | Employee Id | Employee Name | Employee Role | Manager Id | Joining Date | Salary | Commision | Department | Delete Data |
|---|---|---|---|---|---|---|---|---|---|
| {{$index+1}} | {{i.empId}} | {{i.empName}} | {{i.empRole}} | {{i.empManagerID}} | {{i.empJoiningDate}} | {{i.empSalary}} | {{i.empCommision}} | {{i.empDepartName}} |


This application was made as a project for the Learn-verified curriculum. This project is a MVC CRUD application using Ruby on Rails back-end, SQLite DB, Angular front-end, Sass, HTML5, and CSS3. The code can be found on Github Right Here


MDB Frunt
Welcome to my Webpack project template
Thank you for using my product.
Roman Frunt
Built on the technologies of tomorrow
slick-slider


| Module Name | Last Release Tag Date | Commits Since Then | Number of downloads | ||||
|---|---|---|---|---|---|---|---|
| puppetlabs/cisco_ios | 2020-08-06 09:47:35 UTC | 3 | 1 | 1 | 0 | 0 | Error number of downloads cisco_ios |
| puppetlabs/device_manager | 2019-08-14 14:52:31 UTC | 36 | 7 | 1 | 5 | 0 | Error number of downloads device_manager |
| puppetlabs/puppetlabs-accounts | 2020-04-30 14:58:06 UTC | 20 | 8 | 1 | 0 | 0 | 7113 |
| puppetlabs/puppetlabs-acl | 2020-04-08 15:18:57 UTC | 15 | 6 | 1 | 0 | 0 | 7496 |
| puppetlabs/puppetlabs-apache | 2020-07-03 09:36:43 UTC | 19 | 8 | 1 | 1 | 0 | 9365 |
| puppetlabs/puppetlabs-apt | 2020-08-12 13:05:16 UTC | 2 | 1 | 0 | 0 | 0 | 5386 |
| puppetlabs/puppetlabs-chocolatey | 2020-01-16 10:44:31 UTC | 28 | 10 | 1 | 0 | 0 | 36858 |
| puppetlabs/puppetlabs-concat | 2020-01-21 13:15:48 UTC | 41 | 15 | 3 | 0 | 0 | 546328 |
| puppetlabs/puppetlabs-docker | 2020-08-11 08:55:06 UTC | 2 | 1 | 0 | 0 | 0 | 1563 |
| puppetlabs/puppetlabs-dsc | 2019-12-11 11:39:31 UTC | 18 | 9 | 1 | 0 | 0 | 13383 |
| puppetlabs/puppetlabs-dsc_lite | 2020-01-16 08:23:33 UTC | 18 | 6 | 1 | 1 | 0 | 3217 |
| puppetlabs/puppetlabs-facter_task | 2020-01-03 11:20:38 UTC | 34 | 14 | 1 | 0 | 0 | 7154 |
| puppetlabs/puppetlabs-firewall | 2020-07-28 13:26:56 UTC | 8 | 3 | 1 | 0 | 0 | 10518 |
| puppetlabs/puppetlabs-haproxy | 2020-05-19 11:33:19 UTC | 13 | 4 | 2 | 0 | 0 | 5875 |
| puppetlabs/puppetlabs-helm | 2020-03-18 18:38:54 UTC | 12 | 4 | 1 | 0 | 0 | 4777 |
| puppetlabs/puppetlabs-ibm_installation_manager | 2020-06-26 11:54:45 UTC | 5 | 1 | 1 | 0 | 0 | 653 |
| puppetlabs/puppetlabs-iis | 2020-07-08 10:13:44 UTC | 2 | 2 | 1 | 0 | 0 | 1191 |
| puppetlabs/puppetlabs-inifile | 2020-04-27 08:54:51 UTC | 21 | 5 | 2 | 0 | 0 | 112262 |
| puppetlabs/puppetlabs-java | 2020-05-27 14:46:26 UTC | 10 | 3 | 2 | 0 | 0 | 587075 |
| puppetlabs/puppetlabs-java_ks | 2020-07-01 17:13:43 UTC | 4 | 1 | 1 | 0 | 0 | 5112 |
| puppetlabs/puppetlabs-kubernetes | 2020-05-13 14:43:02 UTC | 30 | 6 | 5 | 1 | 0 | 3693 |
| puppetlabs/puppetlabs-motd | 2020-05-19 09:33:14 UTC | 17 | 4 | 2 | 0 | 0 | 3713 |
| puppetlabs/puppetlabs-mysql | 2020-08-12 18:04:34 UTC | 2 | 1 | 0 | 0 | 0 | 701 |
| puppetlabs/puppetlabs-ntp | 2020-04-01 14:43:56 UTC | 21 | 8 | 2 | 0 | 0 | 268409 |
| puppetlabs/puppetlabs-package | 2020-06-26 09:11:42 UTC | 4 | 1 | 1 | 0 | 0 | 931 |
| puppetlabs/puppetlabs-panos | 2019-07-29 16:56:30 UTC | 24 | 7 | 1 | 1 | 0 | 6788 |
| puppetlabs/puppetlabs-postgresql | 2020-06-02 12:59:04 UTC | 18 | 6 | 1 | 0 | 0 | 22586 |
| puppetlabs/puppetlabs-powershell | 2020-07-09 14:50:26 UTC | 5 | 2 | 1 | 0 | 0 | 11034 |
| puppetlabs/puppetlabs-puppet_conf | 2019-12-09 14:30:00 UTC | 43 | 17 | 1 | 0 | 0 | 15527 |
| puppetlabs/puppetlabs-reboot | 2020-02-27 09:14:27 UTC | 28 | 8 | 1 | 0 | 0 | 70682 |
| puppetlabs/puppetlabs-registry | 2020-08-12 14:46:28 UTC | 0 | 1 | 0 | 0 | 0 | 1710 |
| puppetlabs/puppetlabs-resource_api | 2019-06-17 10:43:24 UTC | 25 | 6 | 1 | 0 | 0 | 20145 |
| puppetlabs/puppetlabs-rook | 2020-03-16 12:04:31 UTC | 15 | 6 | 1 | 0 | 0 | 1137 |
| puppetlabs/puppetlabs-satellite_pe_tools | 2019-12-09 13:58:12 UTC | 20 | 5 | 1 | 0 | 0 | 2956 |
| puppetlabs/puppetlabs-scheduled_task | 2020-07-24 13:42:18 UTC | 15 | 5 | 2 | 0 | 0 | 1094 |
| puppetlabs/puppetlabs-service | 2020-07-31 11:59:16 UTC | 3 | 0 | 1 | 0 | 0 | 2210 |
| puppetlabs/puppetlabs-sqlserver | 2020-01-21 11:11:08 UTC | 17 | 6 | 1 | 1 | 0 | 5269 |
| puppetlabs/puppetlabs-stdlib | 2020-04-16 09:49:48 UTC | 22 | 8 | 2 | 1 | 0 | 883548 |
| puppetlabs/puppetlabs-tagmail | 2020-07-01 11:56:36 UTC | 4 | 1 | 1 | 0 | 0 | 636 |
| puppetlabs/puppetlabs-tomcat | 2020-07-07 17:03:54 UTC | 6 | 1 | 1 | 1 | 0 | 3539 |
| puppetlabs/puppetlabs-translate | 2020-03-23 13:04:11 UTC | 12 | 4 | 1 | 0 | 0 | 243584 |
| puppetlabs/puppetlabs-vcsrepo | 2020-06-26 15:34:12 UTC | 6 | 0 | 1 | 1 | 0 | 39597 |
| puppetlabs/puppetlabs-vsphere | 2020-06-25 14:36:31 UTC | 4 | 1 | 1 | 0 | 0 | 571 |
| puppetlabs/puppetlabs-websphere_application_server | 2020-07-28 11:53:11 UTC | 4 | 1 | 1 | 0 | 0 | 393 |
| puppetlabs/puppetlabs-windows | 2018-11-21 21:01:32 UTC | 33 | 11 | 1 | 0 | 1 | 15129 |
| puppetlabs/puppetlabs-wsus_client | 2020-01-06 13:47:09 UTC | 19 | 9 | 1 | 0 | 0 | 3454 |


Every experience built with the very best design.
From App Stores to Clouds, we deliver.
Google Cardboard, Oculus Gear VR, and more.
We love VR/AR, and it's at the heart of everything we build.


Class that is used for retrieving
all the Email Lists from Constant Contact and all Registered Email Addresses
Located in /cc_class.php (line 136)
CC_Utility | --CC_List
Inherited from CC_Utility
CC_Utility::$actionBy
CC_Utility::$apikey
CC_Utility::$apiPath
CC_Utility::$contact_lists
CC_Utility::$curl_debug
CC_Utility::$doNotIncludeLists
CC_Utility::$force_lists
CC_Utility::$lastError
CC_Utility::$login
CC_Utility::$password
CC_Utility::$requestLogin
CC_Utility::$show_contact_lists
Method that retrieves all Registered Email Addresses.
Recursive Method that retrieves all the Email Lists from ConstantContact.
Inherited From CC_Utility
CC_Utility::__construct()
CC_Utility::doServerCall()
CC_Utility::getCountries()
CC_Utility::getStates()
CC_Utility::isValidEmail()
Documentation generated on Mon, 14 Nov 2011 23:15:09 -0500 by phpDocumentor 1.4.1


This example demonstrates how to customize the appearance of Custom element Schedulers' appointments


How much do workers in Switzerland earn - and which jobs are the best paid?
by The LocalWages are high in Switzerland - which is just as well due to the sometimes prohibitive cost of living. But how much on average do Swiss people actually earn - and which jobs are the best paid?
Switzerland has the second-highest average salary in Europe - and the third best in the world. Organisation for Economic Co-operation and Development (OECD) figures confirm Switzerland’s status as one of the best countries in the world to earn a salary.
The OECD Better Life Index ranks Switzerland behind the United States and Luxembourg for average salary - while pay in Switzerland is also well above the average across all the OECD countries.
Switzerland number three globally
According to 2019 OECD figures, the Swiss annual disposable income ranks at CHF37,072 per household.
That’s well above the average of CHF33251 across all OECD countries per household - and is only behind Luxembourg (CHF39,264) and the United States (CHF45,284) on a global scale.
Due to cost of living concerns, the best option is to earn a Swiss salary but live abroad. Image: Depositphotos
Disposable income is considered by the OECD as a better metric than gross income, as it more accurately reflects the amount of money that an individual or a household has to spend - thereby giving a better indication as to overall quality of life and spending power.
Disposable income is money taken home after taxes and other compulsory contributions are paid.
READ: How much people earn in Switzerland (2018)
Read More: How disposable income is falling in Switzerland
While Switzerland may have one of the world’s highest averages, not everyone in Switzerland benefits.
The OECD findings also show that income inequality is also a concern, with Switzerland ranking 14th out of 40 OECD countries for its wealth gap.
As noted by the authors, in Switzerland “there is a considerable gap between the richest and poorest – the top 20% of the population earn nearly five times as much as the bottom 20%.”
Which jobs rank the best?
Although the OECD doesn’t rank earnings per job, the 2019 Swiss Wage Book (Lohnbuch Schweiz 2019) provides an occupation-by-occupation break down.
The highest average wage for a common job - i.e. not a specialist positions or as CEO - is CHF110,000-130,000 gross per year.
Earning slightly less are people in IT, where the average is 117,000 francs per annum.
Lawyers in Switzerland earn an average of 111,600 per year, coming in at third place.
 Diplomats in Switzerland earn around CHF162,660 on average - good work if you can get it.
Diplomats. Well paid. Image: Depositphotos
And the rest?
Teachers in Switzerland earn an average of CHF87,500 gross - although this varies widely between cantons.
In Geneva, a teacher earns an average of CHF97,000 - while in Ticino that amount is CHF66,000.
Civil servants average CHF85,800, which is roughly the same as a journalist or editor.
Towards the lower end of the scale, taxi drivers are one of the lowest paid in Switzerland - earning 38,000 per month gross.
That’s a a decrease of 15 percent over the past decade, the biggest decline of any job in Switzerland.
Taxi drivers have seen a massive decline in average salary - 15 percent in the past decade. Image: Depositphotos


Troubleshooting
Here are a few suggestions to try before reporting the problem to the developers...
- Make sure your Finch robot is plugged into your computer correcly.
- Try running Finch Controller with sudo/admin permissions
If these don't fix the problem, please open an issue on the GitHub Issue Tracker.


Notes
If this function is called on a vector v on a distributed communicator only the local part is written in output. To get a single MatrixMarket file with the whole vector when appropriate, e.g. for debugging purposes, one could gather the whole vector on a single rank and then write it. Consider the following example for a double precision vector
real(psb_dpk_), allocatable :: vglobal(:) call psb_gather(vglobal,v,desc,info) if (iam == psb_root_) then call mm_array_write(vglobal,vtitle,info,filename) end if call deallocate(vglobal, stat=info)
To simplify this procedure in C, there is a utility function
psb_i_t psb_c_<s,d,c,z>global_vec_write(vh,cdh);
that produces exactly this result.


{% extends "base_layout.html" %} {% block title %}Tables{% endblock %} {% block head %} {{ super() }} {% endblock %} {% block content %}
| # | Username | Role | Status | Actions | |
|---|---|---|---|---|---|
| 1 | Mark Otto | @mdo | Admin | Active | |
| 2 | Jacob Thornton | @fat | Manager | Active | |
| 3 | Larry the Bird | Manager | Active | ||
| 4 | Natasha Kruschev | @ntkrusch | User | Active | |
| 5 | Natalie Lane | @ntlane | User | Active | |
| 6 | Aaron Camel | @acam | User | Active |


current_predicate/[1,2]
[ISO]current_predicate(
?PredSpec)
Unifies PredSpec with a predicate specifications of the form Name/Arity.
current_predicate(
?Name,
?Term)
Unifies Name with the name of a user-defined predicate, and Term with the most general term corresponding to that predicate.
If you have loaded the predicates foo/1
and foo/3
into Prolog,
current_predicate/2
would return the following:
| ?- current_predicate(foo, T). T = foo(_A) ; T = foo(_A,_B,_C) ; no
| ?- current_predicate(Name, Module:Term). | ?- current_predicate(Module:PredSpec).
current_predicate/[1,2]
only succeeds for those predicates that are
defined in the module. It fails for those predicates that are imported
into a module.
| ?- current_predicate(m:P).
will backtrack through all predicates P
that are defined in module m
.
To backtrack through all predicates imported by a module use
predicate_property/2
(see ref-lps-ove).
To find out whether a predicate is built-in, use
predicate_property/2
.
% Is there a callable predicate named gc
?
| ?- current_predicate(gc, Term).
no
| ?- predicate_property(gc, Prop)
Prop = built_in
instantiation_error
type_error
predicate_property/2
, ref-lps-ove.


This test category is meant to verify the processing/update requirements associated with the weather server. This verifies that the server updates weather information at a rate consistent the API's update rate and processes it such that it can be displayed when an HTTP client attaches to the server.


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+++ title = "Arica" lat = -18.483000 lon = -70.333000 +++
Arica is Chile's northernmost city, almost touching the nation's Peruvian border. It's quite a big place, although not the most exciting city in the world. Bit of a funny mix between Chilean orderliness, and Peruvian chaos. Spent a bit of time here in transit, on my way north to Arequipa in Peru.


How to play
Blackjack Game with Tony
Let's play!!
You:
0
Tony:
0
Hit
Stand
Deal
Wins
Losses
Draws
0
0
0


1. Frequently Asked Questions¶
This is a list of Frequently Asked Questions about Shiboken. Feel free to suggest new entries!
1.1. General¶
1.1.1. What is Shiboken?¶
Shiboken is a GeneratorRunner plugin that outputs C++ code for CPython extensions. The first version of PySide had source code based on Boost templates. It was easier to produce code but a paradigm change was needed, as the next question explains.
1.1.2. Why did you switch from Boost.Python to Shiboken?¶
The main reason was the size reduction. Boost.Python makes excessive use of templates resulting in a significant increase of the binaries size. On the other hand, as Shiboken generates CPython code, the resulting binaries are smaller.
1.2. Creating bindings¶
1.2.1. Can I wrap non-Qt libraries?¶
Yes. Check Shiboken source code for an example (libsample).
1.2.2. Is there any runtime dependency on the generated binding?¶
Yes. Only libshiboken, and the obvious Python interpreter and the C++ library that is being wrapped.
1.2.3. What do I have to do to create my bindings?¶
Most of the work is already done by the API Extractor. The developer creates a typesystem file with any customization wanted in the generated code, like removing classes or changing method signatures. The generator will output the .h and .cpp files with the CPython code that will wrap the target library for python.
1.2.4. Is there any recommended build system?¶
Both API Extractor and generator uses and recommends the CMake build system.
1.2.5. Can I write closed-source bindings with the generator?¶
Yes, as long as you use a LGPL version of Qt, due to runtime requirements.
1.2.6. What is ‘inject code’?¶
That’s how we call customized code that will be injected into the generated at specific locations. They are specified inside the typesytem.


The Quest Team consists of 10 members from all of the diffrent Computer Science subdivisions. Together working together to develop an adventure game called Quest. A Game that we hope will entertain and bring together the gaming community.
Quest is an Adventure game that is designed to get players attention in the magical world of monsters, wizards and magic
Here is a download of our game in its earliest form.
Watch out for our next betas and our official release in 2019.
We have used graphically pleasing content to make the game look appealing.
We have health that can be replenished, so don't die to keep playing for longer.
We have designed the outside to be as bright and appealing.
We have designed variable world and they are all differnt sceneries and difficulties.
We have designed more detailed sprites and better designs with more colour and details in their shape.
We now have many more weapons and potions to be chosen from after passing levels and unlocking them.
There are many more fights, challenges and adventures to unlock coming in the release. Be prepared.


public final class WinPcapRmtAuth
extends java.lang.Object
pcap_rmtauth
structure. Provides
authentication data for establishing remote capture and lookup operations
using WinPcap extensions.
| ���������� | �ֶκ�˵�� |
|---|---|
private java.lang.String |
password
The password.
|
static int |
RMT_AUTH_NULL
It defines the NULL authentication.
|
static int |
RMT_AUTH_PWD
It defines the username/password authentication.
|
private int |
type
The type.
|
private java.lang.String |
username
The username.
|
| ��������˵�� |
|---|
WinPcapRmtAuth()
Allocates an empty authentication object so that it may be
setup.
|
WinPcapRmtAuth(int type,
java.lang.String username,
java.lang.String password)
Allocates and configures authentication object.
|
| ���������� | ������˵�� |
|---|---|
java.lang.String |
getPassword()
Gets the string containing the password that has to be used on
the remote
machine for authentication.
|
int |
getType()
Gets the type of the authentication required.
|
java.lang.String |
getUsername()
String containing the username that has to be used on the remote
machine
for authentication.
|
private static void |
initIDs()
Inits the i ds.
|
void |
setPassword(java.lang.String password)
Sets the string containing the password that has to be used on
the remote
machine for authentication.
|
void |
setType(int type)
Type of the authentication required.
|
void |
setUsername(java.lang.String username)
Sets the string containing the username that has to be used on
the remote
machine for authentication.
|
public static final int RMT_AUTH_NULL
public static final int RMT_AUTH_PWD
private int type
private java.lang.String username
private java.lang.String password
public WinPcapRmtAuth()
public WinPcapRmtAuth(int type, java.lang.String username, java.lang.String password)
type
- authentication type; values of 0 or 1 permittedusername
- string containing the username that has to be used on
the remote
machine for authentication
password
- string containing the password that has to be used on
the remote
machine for authentication
private static void initIDs()
public final int getType()
public final void setType(int type)
type
- the type to setpublic final java.lang.String getUsername()
public final void setUsername(java.lang.String username)
username
- the username to setpublic final java.lang.String getPassword()
public final void setPassword(java.lang.String password)
password
- the password to set


Meet the Team
Who We Are
Museum of Survival: Project Z is constructed by a group of ambitious students from the California Academy of Mathematics and Science (CAMS) for their Junior year Interdisciplinary Project (IDP). The IDP incorporates skills from every core subject into a final culminating project.
What We Did
This year, we designed a museum for IDP that revolves around emergency preparedness. We created over twelve different exhibits and ten different interactive to teach visitors the importance of preparing for an emergency by using the metaphor Zombie Apocalypse.


|
product code(001122)
|
[goods no.] goods name
season / details: |
size (drop down) |
|
product code(001122)
|
[goods no.] goods name
season / details: |
size (drop down) |
|
product code(001122)
|
[goods no.] goods name
season / details: |
size (drop down) |
|
product code(001122)
|
[goods no.] goods name
season / details: |
size (drop down) |
|
product code(001122)
|
[goods no.] goods name
season / details: |
size (drop down) |


rpm
RPM Package Manager.
For equivalent commands in other package managers, see home page
More information: home page
- Show version of httpd package:
rpm --query httpd
- List versions of all matching packages:
rpm --query --all 'mariadb*'
- Forcibly install a package regardless of currently installed versions:
rpm --upgrade package_name.rpm --force
- Identify owner of a file and show version of the package:
rpm --query --file /etc/postfix/main.cf
- List package-owned files:
rpm --query --list kernel
- Show scriptlets from an RPM file:
rpm --query --package --scripts package_name.rpm
- Show changed, missing and/or incorrectly installed files of matching packages:
rpm --verify --all 'php-*'
- Display the changelog of a specific package:
rpm --query --changelog package_name


{% extends "application/layout.html" %} {% block page_title %}{{ serviceName }} - Start{% endblock %} {% block c_content %}
Back
300 characters left
You could be prosecuted or have to pay a penalty if you deliberately give wrong or incomplete information or don't report changes. Your Carer's Allowance may also be stopped or reduced.


The files in this directory are a rewrite of the code used in the paper. The results from the code seem to match that from the original. There are classes referenced in the code that are not included in this directory. Some documentation (but not source code) for those classes is available. For the most part, the unavailable classes do pretty much what you would expect them to do. The code here may change somewhat over time. The atmospheric perspective code had a faster rewrite and less error checking than the rest.
All standard disclaimers and limits on liability apply. There is no guarantee the code works and there is no guarantee that it is equivalent to the code used in the paper.
Last modified: Tue Aug 17 09:37:44 MDT 1999


Oh hello there. I dabble in design and code.
This corner of the internet showcases some of the clients I’ve worked with and projects I’ve learned from.
When I am not coding up a storm, you can find me on my bike, reading a book, eating ice cream, or perhaps on an adventure somewhere in the world. Most likely, I am petting the cat. All photographs you see are snippets of those adventures.
Looks rad. Sam Parr, CEO of the Hustle


Previewing Editor Content
How to preview the current content in the Editor using the HTML module. This allows you to preview the content before updating it and/or publishing it.
- Select Edit Content from the module actions menu.
- Click the Preview button located below the Editor to expand the Preview section below (unless it is already expanded) and displays the content currently displayed in the Editor. Note: The state of the version being previewed is displayed at the Workflow State field. I.e. Edit Preview.
- You can now return to editing the content, or save/cancel this content.
Tip: Each time you modify the content in the Editor, you must re-click the Preview link to see the changes.
Previewing Current Content in Editor


{% extends "base.html" %} {% load compress humanize staticfiles %} {% block containers %}
View a list of your checks, one for each Cron job, daemon or periodically running task you want to monitor.
Ensure right people are notified with easy integrations like Slack, Email or Webhook.
Each check has configurable Period and Grace Time parameters. A user can as well set a prefered schedule as defined in the DOCS
You can create a new cron job monitor using your cron schedule. You will be given a unique ping URL.
You do not have to worry since right people receive alerts with easy integrations like Slack, Webhook and Email.
As a team you can as well set a prefered schedule as defined in the DOCS


About Flaburst
Flaburst aims to bring a new level of vaping experience with their rich and flavorful products that comes in 60 ml bottles.
Made from the Philippines, Flaburst adheres to its local safety and health policies which assures all products are mixed in our facility, and e-juices are tested by and MSDS certified by a licensed chemist. The team assures not just the unique taste but also the safety of consumers in every bottle.
Quality ejuices suit every consumer's need while keeping the VG-PG ratio, Nicotine level, and flavor content in mind. With this, Flaburst came up with these premium e-juices: Icy Dew, Milky Snow and Straw Belt.


Copyright 2005-2006 by The BioBike Team (contact<EMAIL_ADDRESS>Introduction
BioBike is the environment in which you write and execute BioLisp
code, and BioLisp is a dialect of Common Lisp (which is, I'll bet you
can guess, a dialect of Lisp). Before you can interact with BioBike,
you need to know a few basic facts about Lisp. There are various web
sites dedicated to Lisp and learning Lisp. You can find some of these
through the Association of Lisp
Users (ALU) web site, the Franz web
site (a commercial Common Lisp vendor), or the BioLisp.org site, but you don't
need to learn much Lisp to begin working in the BioBike environment;
knowing just a few basics will get you jump started. In this tutorial
we'll do some very simple things with BioLisp in order to get you
comfortable with both interaction with the BioBike "listener" (the web
interface, aka the 'Weblistener'), and at the same time we'll see a
little bit of what BioLisp is about.
Nearly everything you do in BioLisp will involve sets of nested, balanced, parentheses. These are variously called "lists", "trees", or "exprs" ("expressions"). When you tell BioLisp to do something, The operation or function always comes first. For example, if you want to add two numbers in other programming languages you'd usually type something like: 3 + 4, but in BioLisp you type: (+ 3 4).
(this one does not have a close parentheses this one does not have an open parenthesis) ((this (one has) too many close parentheses)))))You have to be careful that you've balanced the parentheses correctly, and that you've put them where you want them! Most Lisp editors, including the BioBike Listener, have some way of helping you balance your parens, but it's important to understand that although you can usually make the parens balance by just adding or removing some parens at the end of the expression, this isn't always what you want! We'll see some example of this soon.
(function arg1 arg2 arg3 ...)[The 'arguments' are the things that the function operates on, so, with respect to the '+' function, the 'arguments' are the numbers being added up.]
At first this will seem a little weird to you; Why not just write: 1+2, or 1+2+3+4? But if you think about it a little, you'll see that Lisp syntax (which is called "prefix" notation), can be clearer and more useful than the way you learned it (you learned: 1 + 2, which is called "infix" notation). When you use infix, you have to worry about operator precedence -- that is, what gets done first. (Like, does 1+2*3 = 7 or 9?, that is: (1+2)*3 or 1+(2*3)???.) You have to disambiguate infix using parentheses. Also, in infix you can't operate on more than two arguments at a time -- to add four numbers you need 3 operations (a + b + c + d), while with prefix you just need one operation (+ a b c d). So in the long run prefix turns out to be both less ambiguous and in many cases shorter.
I have to admit that for simple math prefix is kind of clunky, but it has many other advantages. One is that prefix more like the way you actually think. Think about what you say when you talk about math: You say something like: "three plus five" (this is infix), but you could also say: "add three and five" (this is prefix). For non-mathematical things prefix is the more common way to say things, and infix is quite rare! When you give commands in English you don't say: "ball give John" (infix -- weird!), you say: "Give John the ball" (prefix -- normal!). If you're describing what's happening, you might use infix: "The ball is given to John". But for commands, the verb usually comes first: "Give John the ball." "Give the ball to John." "Eat the sticky rice with the wooden chipsticks." "Add 3, 4, 2, and 12." "Multiply the result of adding 1 and 2, to the result of adding 3 and 4." Etc.
As we get more into Lisp we'll come across more and more advantages of prefix notation; for the moment, just bear with me on this.
This last sentence: "Multiply the result of adding 1 and 2, to the result of adding 3 and 4." is how we read the third example, above:
>> (* (+ 1 2) (+ 3 4)) :: 21Where there are both multiplication and addition combined. In infix you could write: (1+2)*(3+4), except that in Lisp, by the above rule, the function always comes before the arguments, so you write each addition as: (+ 1 2) and (+ 3 4), as in the first example, and then in order to multiply those together, you put them in as the arguments to a multiplication, that is: (* (+ 1 2) (+ 3 4)), which is the same as: (* 3 7) = 21.
The way to read exprs, and figure out what they're going to do -- that
is, how they evaluate -- is to read them from the front, and
ask at each level what the function is, and then what the values of it
arguments are. Let's try that with the first expression: (+ 1 2):
This is called "recursive evaluation". Now let's do exactly the same
thing with (* (+ 1 2) (+ 3 4)):
This seems complex (or at least verbose!), but when you get used to it
you'll find that it's actually very easy to follow, and
incredibly convenient in many ways. Here are some others to
try out. See if you can figure out what they evaluate to before
trying them::
(If you got -133 for the last one, you're better than me! I did
something wrong when I was running through that one by hand and got
152; Oh well, that's why we actully let computers do this sort of
thing most of the time! Go ahead and try it out by entering the last
one into Biobike!)
Now, let's look at a couple of problem cases. The most common problem
that you'll run into is incorrectly parenthesized lists. We saw some
simple examples above where there were just missing parens at the
beginning or end, but now you can see what I was saying about it not
being enough to just balanced the parens -- you have to balance them
CORRECTLY or else you'll get something that doesn't mean what you want
it to mean!
Watch this! Try each of these in BioBike:
Yow! All of those have exactly the same characters, and the
parens are all balanced, and the functions and arguments are in
exactly the same order! But by just changing where the
parentheses go, you can get completely different results!
Moreover, it's easy to make things that just don't make any sense,
like:
Oops! This time by leaving out a set of parentheses we tried to add a
non-number -- the plus sign! -- together with a bunch of numbers.
So far we've been working entirely with numbers, but there are three
other basic types of data in Lisp: strings, symbols, and
lists. (So that makes four, including numbers.)
Numbers are the obvious things: 1, 3.141, 1e-10, 3.5d-35, etc. (The
'e' and 'd' notations are two different ways to denote scientific
notation. Although you're probably more used to the 'e' form, the 'd'
form will be useful for writing extremely small numbers. This will be
clear later on when we're talking about blast e-values. For now, just
get that 'e' and 'd' are both ways to specify scientific notation.)
Strings are quoted sets of characters: "This is a string", "So is
this", etc. Note that we use double quotes, not single quotes --
single quotes mean something else to Lisp that we'll get to in a
moment, and just like lists (and exprs) the quotes have to balance!
Symbols are a sort of like strings, except that they don't have
double quotes, and they aren't just a set of characters; rather, they
are used to symbolize something else (which is why they are called
symbols). Generally, symbols are used to store stuff, and the names of
functions are symbols. Any name without special characters in it can
be a symbol. Here are some okay symbols:
Here are some invalid symbols:
The last one above is a list. Lists are like exprs, but since
they are data, not to be evaluated, you don't have to worry about the
(function arg arg arg ...) syntax. You can make lists of any of
these, or of any combination. Here's a complex list:
Now, as you might well imagine, there are a number of Lisp functions
that deal with lists instead of just doing math. The most important
among these are: FIRST, REST, NTH, LIST, and CONS. Let's look at a
couple of examples of these in action. You'll see a new piece of
syntax (the single quote) that I'll explain in a minute:
This is a very important thing about Lisp: Quote blocks evaluation.
What's that mean? Well, recall our old example:
Watch:
Aha! So in the last case we forgot the quote (well, actually, of
course, I left it out on purpose for the benefit of your education!
:-), and Lisp evaluated (+ 3 4), giving 7, and then tried to get the
first element in the number 7, but FIRST only applies to lists; It
doesn't make sense to get the first element out of a number, and Lisp
is perfectly happy to tell us so!
Now, there are two functions that I mentioned above that I haven't
explained yet: LIST and CONS. Whereas FIRST, REST, and ELT extract
the parts of a list, LIST and CONS build lists! Watch:
Look carefully at the last two examples. Notice that whereas LIST
puts things together in a new list, CONS (which is short for
"construct") jams one thing into the front of another, already
existing list. This is a subtle but important distinction, and if you
think about it, you'll see why you need two different functions to
make lists, both LIST and CONS; There's no way to make (THIS AND THAT)
from: THIS and (AND THAT) unless you have CONS.
While you're looking at the above example, notice the use of quotes to
block evaluation in some places, and not in others. We don't need to
block evaluation of numbers, because Lisp understands that the value
of a number is just the number itself. But we did have to block it
for 'THIS and '(AND THAT). Why? What happens if you try evaluating
(AND THAT), that is, leaving out the quote? Remember (function arg
arg arg...) and recursive evaluation: It'll think that AND is a
function -- which, as it turns out, it is!  So just like our
previous examples, it's going to look at its arguments and compute
their values, then do its things. But THAT doesn't have any value, so
you'll get an error. Watch:
Here's yet another example of a slightly different sort of error:
This is called "DWIMing" -- DWIM stands for "Do What I Meant"; it's a
sort of spelling checker and corrector, but it lets you tell it when
you want the correction made. Here's a good example of DWIMing (and
we'll learn a new function while we're at it):
Here's a challenge: What single expression, using just LIST, CONS,
FIRST, REST, and APPEND will do this:
[Hint: Build the complete expression in the EVAL box (the larger one),
and try out parts of it as you work in the ENTER box (the smaller
one).]
Copyright 2005-2006 by The BioBike Team (contact<EMAIL_ADDRESS>Evaluation
How to read: (+ 1 2):
The function is + (addition), so what are its arguments?
The first argument is 1. Okay, that's just a number.
The second argument is 2. Okay, that's just a number.
No more arguments; we can evaluate the + with it's arguments: (+ 1 2)
The result is 3
and we're done!
Recursive evaluation of: (* (+ 1 2) (+ 3 4)):
The function is * (multiply), so what are its arguments?
The first argument is actually another expression: (+ 1 2),
so we do just like above:
The function is + (addition), so what are its arguments?
The first argument is 1. Okay, that's just a number.
The second argument is 2. Okay, that's just a number.
No more arguments; we can evaluate the + with it's arguments: (+ 1 2)
= 3
and we're done!... at least with the first argument to *, which is 3.
The second argument is another expression: (+ 3 4), so as above,
we go through the evalauation of this sub-expression:
The function is + (addition), so what are its arguments?
The first argument is 3. Okay, that's just a number.
The second argument is 4. Okay, that's just a number.
No more arguments; we can evaluate the + with it's arguments: (+ 3 4)
= 7
and we're done with the second argument to *, which is 7.
So now we've evaluated both of the arguments to *, which are
expressions that evaluate to 3 and 7, so we can complete the
multiplication: (* 3 7)
= 21
and we're done!
>> (* (+ 3 4) (* 2 3))
>> (- (- 3 4) (- 2 3))
>> (+ (* (+ 2 3) (* (+ 3 4) 2 (- 1 3))) (+ 3 4))
>> (+ (* (+ 2 3) (* (+ 3 4) 2 (- 1 3))) (+ 3 4))
:: -133
>> (+ (* (+ 2 3) (* (+ 3 4 2 (- 1 3)))) (+ 3 4))
:: 42
>> (+ (* (+ 2 3) (* (+ 3 4 2 (- 1 3 (+ 3 4))))))
:: 0
>> (* (+ 1 2) (+ 3 4))
:: 21
>> (* (+ 1 2 + 3 4))
:: Error: `+' is not of the expected type `NUMBER'
Strings
"This is a string"
"So is this"
"this isn't a string because there's no end quote
this isn't a string because there's no start quote"
'this isn't a string because we used the wrong kind of quote'
Symbols
symbol
a-symbol
this-is-a-symbol
the-4th-symbol
This has blanks in it
(This has blanks, and other bad stuff)!
12345.6789 <- This one's really a number, not a symbol!
"This is a string, not a symbol!" <- I'll bet you can tell what this really is!
(this 1 is "a proper list containing" (numbers like 3.141) (symbols
like these) and ("some Strings" "like these"))
More List Functions
(this list (combines 3.141 and ("This string" with)
(another 2.718 (numbers))))
>> (first '(this (is a) list of symbols))
:: THIS
>> (rest '(this (is a) list of symbols))
:: ((IS A) LIST OF SYMBOLS)
>> (elt '(this (is a) list of symbols) 0)
:: THIS
>> (elt '(this (is a) list of symbols) 1)
:: (IS A)
>> (elt '(this (is a) list of symbols) 4)
:: SYMBOLS
Notice that in the fourth example the second element (that is, the ELT
1 element, since ELT starts at zero!) is actually a list, so
when we do ELT 1 (that is, get the second element) we get a whole
list instead of just one word! Aside from that, it's probably
pretty obvious from those examples what these function do. However,
as promised, there's new syntax: The single quote (') that appears
before each of the data lists in the above examples.
>> (* (+ 1 2) (+ 3 4))
We did the complex "recursive evaluation" above by going into each of
the arguments of *, and evaluating them, and then using the results of
those sub-evaluations to finish the evaluation of the multiplication.
But what if we don't want Lisp to do that sub-evaluation at all; what
if we have a list that we want treated as a data list instead of as an
expr? That's single-quote's job: It tells Lisp: Just use this list as
a list, not as an expr; don't evaluate it, just give it up! (When
lispers say "quote" they always mean "single quote" -- the
things around strings are always called "double quotes". It's not our
fault that English gave these both the same name!)
>> (+ 3 4)
:: 7
>> '(+ 3 4)
:: (+ 3 4)
>> (first '(+ 3 4))
:: +
>> (first (+ 3 4))
:: Error: Attempt to take the car of 7 which is not listp.
>> (list 3.141 2.783)
:: (3.141 2.783)
>> (list 'this 'and 'that)
:: (THIS AND THAT)
>> (list 'this '(and that))
:: (THIS (AND THAT))
>> (cons 'this '(and that))
:: (THIS AND THAT)
>> (cons 'this (and that))
:: <<< Evaluation failed. Actual error: >>>
<<< Attempt to take the value of the unbound variable `THAT'.>>>
Okay, so it was okay with AND, but THAT is unbound. We'll see in a
moment what "unbound" means. Now compare that error with this one:
>> (cons 'this (will create a different error))
:: ; While compiling (:ANONYMOUS-LAMBDA 494):
Warning: While compiling these undefined functions were referenced:
WILL.
> <<< Evaluation failed. Actual error: >>>
<<< Attempt to take the value of the unbound variable `CREATE'.>>>
That happened because whereas AND is a lisp function, WILL
is not a lisp function, so the recursive evaluator tries to do the
function WILL and gets immediately confused, and yells at you, but it
pushes on anyway (for an obscure reason), and, again hits the unbound
symbol CREATE.
Do What I Meant! (DWIM)
>> (cons 'this (will cause a "DWIM" correction))
:: ; While compiling (:ANONYMOUS-LAMBDA 509):
Warning: While compiling these undefined functions were referenced:
WILL.
> <<< Unbound variable: CAUSE >>>
Maybe you meant one of these? CASE [f] [show modified form] [execute modified form]
Notice that this time, even though it didn't understand CAUSE, it
thought that maybe you just made a slight typo, and mean CASE instead
-- You didn't, so don't select either of the offered correction options!
>> (appned '(this list) '(that list))
Warning: While compiling these undefined functions were referenced:
APPNED.
> <<< Unbound function: APPNED >>>
Maybe you meant one of these? APPEND [f] [show modified form] [execute modified form]
This time we really did mean APPEND, so click on: [show
modified form], and you should see: (append '(this list) '(that list))
in the EVAL window (the big one), which you can execute by pressing on
the [EVAL] button, and get the right answer:
:: (THIS LIST THAT LIST)
Notice that APPEND puts two lists together end-to-end.
Input: '(grateful are those who are not dead)
Output: (grateful dead)
Here's another, harder one:
Input: '(I think that (I shall never see) (a list (as lovely (as a tree))))
Output: ((I shall never see) (a tree) (as lovely (as a list)))
(Answers at the end!)
1. Create an arithmetic expression using only the numbers 1 through
9 each EXACTLY ONCE, and the operators +, -, *, and EXPT (you can use
these as many times as you like) to create an expression that
evaluates to exactly 2006. [EXPT raises one number to the power of
another number, so, for example: (expt 10 2) => 100.]
Example:
(+ 3 4) => 8
Corrected: (+ 3 4) => 7
or:
Corrected: (+ 3 5) => 8
Your turn:
(+ 3 4 => 7
3+4 => 7
"this is a string
this is a symbol
"this is a symbol"
this-is-a-string
(list 1 2 3) => (3 2 1)
(list (list 1 2 3)) => 1 2 3
(list (list 1 2 3)) => (1 2 3)
(list (1 2 3)) => ((1 2 3))
(list list 1 2 3) => 1 2 3
(cons 3.141 (1 2 3)) => (3.141 1 2 3)
(cons a-symbol '(some more symbols)) => (a-symbol some more symbols)
(append (this list) (that list)) => ((this list) that list)
(append '(this list) '(that list)) => ((this list) that list)
Example:
In: (setf in '(grateful are those who are not dead))
Out: (grateful dead)
Method: (list (first in) (first (reverse in)))
Your turn:
In: '(the rain in spain falls mainly on the plain)
Out: (in spain the rain on falls the plain mainly)
In: '((the rain) (in spain) (falls mainly) (on the plain))
Out: ((in spain) (the rain) (falls on) (the plain) mainly)
In: '(the rain in spain falls mainly on the plain)
Out: (plain the on mainly falls spain in rain the)
Hint: This is easier than it looks.
In: '((the rain) (in spain) (falls mainly) (on the plain))
Out: ((on the plain) (falls mainly) (in spain) (the rain))
Hint: This is MUCH easier than it looks!
In: '((((((((the (((rain)))) (in spain))))))) (((((falls mainly) ((((on the plain)))))))))
Out: ((((((falls mainly) ((((on the plain)))))))) (((((((the (((rain)))) (in spain))))))))
Hint: This one is INCREDIBLY easy (given how complex it looks)!!
In: '((((the ((rain))) (in spain))) (((falls (mainly)) (on ((the) plain)))))
Out: ((mainly ((on the) plain) falls (the (rain in))) spain)
Hint: Oops... Well, so much for easy problems!


Widget
class to create a simple, re-usable spinner control. The Spinner
class created in the example is not intended to be a fully featured spinner. It is used here as a concrete example, to convey some of the key concepts to keep in mind when extending the Widget
class.
Click the buttons, or the arrow up/down and page up/down keys on your keyboard to change the spinner's value


Attitudes regarding Syrian Refugees: Sentiment Analysis Using Twitter
Click to View Static Charts
Welcoming
Neutral
Hostile


I first bought 24 ounces of poppy seeds from this Indian marketplace for about $10. I then got about a quart of concentrated lemon juice. When I got home my boyfriend was laughing hysterically because he couldn't believe we were actually going to try this. (Oh ya, I forgot to mention we take oxycontin on the regular so he wasn't too convinced a spice was going to get us high.)
At 7pm we poured the poppy seeds in a large pot, then in went the whole bottle of lemon juice. It was really thick so I put some hot water in with it. I let them soak in this mixture for half an hour, mixing every 5 minutes.
After the half hour was over we strained the seeds through a t-shirt (a trick which I got from this site.)  Then I remebered reading you could put sugar in it to make it taste somewhat like lemonade. So we put some sugar in it, still vile! We realized there was nothing we could do to make it taste any better. So we just suffered through it and swallowed it all. All the while thinking this tea better work to go through this shit!
Now that the tea was all gone I felt relief that I didn't have to drink any more but I did feel very nauseous. (I almost yacked while drinking it.)
It's now 8:30pm, I feel very relaxed but my boyfriend just feels exhausted. We decide this stuff doesn't work. At around 9pm I look in the mirror and my eyes are so heavy and bloodshot, it looks like I just smoked a bone. But still no real effects.
It's now 11pm and we're not as messed up as our expectations had us thinking but we are very relaxed, no withdrawals from the oc's, and we both slept really well on this. I would say the effects were the same as if you take some sleeping pills and force yourself to stay awake on them. So pretty much it sucked.

Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


My name is Paxton. I am a full-stack web developer, specializing in user experience and the front end.
I enjoy creating web applications that are fast and visually appealing. I have used Angular for a number
of projects and am excited to be using React in a few of my current projects.
I have a diverse background that includes strip-mining, graduate work in Ancient Greek, mountain climbing,
and world travel, all of which inform the work I do in the web space. Coding has become
the platform to apply my love of learning and passion for creativity.
Skills
Angular.js
CSS3
React
gulp
git
JavaScript
HTML5
bootstrap
jQuery
PostgreSQL
Node.js
express.js
Projects
Riley's Farm Fresh
This is the first iteration of a project I am still working on
for a farming operation based in northern Utah. It is a full-stack, single-page
application, built with Angular, Node, Postgres, and other technologies.
Airbnb Clone
This was a project taken on by a group of four of us. The objective was to
clone as much as we could of airbnb.com in a two-week span. We also used the project
as an opportunity to learn the React framework.
Hebrews One
This was an early project of mine. The objective was to create
a platform for a commentary on an ancient Greek text. It was built
without a server and used the Angular framework.
Integrated Healthcare
I used React JS to create a healthcare application
that helps to diagnose certain mental disorders and provide a treatment plan suited to those disorders.
It is a utility designed by a Ph.D. candidate and will be used by her in her ongoing work.
It is built to run on an iPad, and will be linked to a Wordpress back-end.
Smartcare Docs
The objective of this project was to make docs for the in-house components and
styling of a healthcare software startup. I used React JS, and modeled the layout
on the Material UI docs.