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Spirit science is a relatively new term, but it is making more and more sense in both the spiritual and scientific communities. As science sheds light on the.
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Parents Guide. External Sites. User Reviews. User Ratings. External Reviews. Metacritic Reviews. Photo Gallery. Trailers and Videos. Crazy Credits. Alternate Versions. Rate This. A rare behind-the-curtain look at the Earth Liberation Front, the radical environmental group that the FBI calls America's 'number one domestic terrorist threat. Directors: Marshall Curry , Sam Cullman co-director.

Writers: Marshall Curry , Matthew Hamachek. Available on Amazon. Added to Watchlist. From metacritic. Our Favorite Trailers of the Week. Double Take: Biopic Look-alikes. Watched Documentaries. Use the HTML below. You must be a registered user to use the IMDb rating plugin.

User Polls Environmentally minded docs. Nominated for 1 Oscar. Photos Add Image. Learn more More Like This. GasLand Hell and Back Again Documentary Action History. The Weather Underground Documentary History War.

Waiting for 'Superman' An examination of the current state of education in America today. The Invisible War Documentary Crime. An investigative documentary about the epidemic of rape of soldiers within the US military. Street Fight Project Nim A Night at the Garden Documentary Short History. No End in Sight Documentary War. The Square Documentary News. Spellbound Documentary Comedy Thriller.

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Spellbound follows eight teenagers on their quest to win the National Spelling Bee. I tried to transport my two kittens in a box, but they quickly escaped and crawled underneath of the brake pedal, so cats not in boxes almost made us all die. Instead, what I'm getting out of this is that cats need to be looked after by humans or other cats, as long as a human is watching a cat somewhere. I'm not watching my cat chew an electrical wire right now, I hope that it doesn't die.

I completely empathize with the desire to automate everything.

I'd like to automate as much of my life as possible. Clearly, the important thing to consider is that the automation process if easily made fallible, and that someone is going to notice eventually. Problems are better noticed by a jittery bodybuilder in the office, than a run over cat on the street. Antiguru: if performance isn't measured, it becomes crap; I'm not saying that it can't become crap otherwise or that sometimes it's OK when it's crap, just that it will become crap if not measured.

A well-used door needs no oil on its hinges. A swift-flowing stream does not grow stagnant.


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Neither sound nor thoughts can travel through a vacuum. Software rots if not used. Of course sometimes dead cats were simply put on top of leaky drainpipes; especially it seems when it isn't your code and sometimes because it IS your code [or mine :P]. I would always hesitate before touching anything that's been running for years [profiled badly or not]….

Well, I'm conservative enough to hesitate to touch anything that's been running for weeks if not days, it's just that sometimes you have to. Not using a profiler doesn't mean never measure performance.

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It just means that you don't get sucked a false idea of how optimization is supposed to work which seems to be the case for everyone I personally know using them. A argument I got into recently was against virtual methods being slow. My idea was to use pure virtual methods to accomplish some tasks in a sort of base node object. Mr scruples just couldn't allow the word virtual to pass his fingers, let alone a pure virtual.

He even made up a case and executed it a billion times or so to prove his point. It was a little faster, not not a lot. But I knew for a fact it was actually faster in a real world app. The virtual lookup is static data. Instead there's this dumb 'control' object that is an object with its own function pointer. So it's not static but there for every single listener. So I make a realworld case and tahdah! It's obvious the virtual method is faster in the case we actually care about. The reason is as the bits fly none of this crap is in cache any more, and what's worse is it's not together in memory and it has some bizarre indirection, so you wind up doing cache mishes every single lookup when things are not in chache.

Plus, it takes up more cache and pretty much everything is a node, so this was also degrading the whole system by helping choke the cache out. Of course not everyone just knows off the top of their head, but you are going to solve X more perfomance issues by knowing than by just measuring and coming to an obvious conclusion. Of course you need some mental model of why things could take the time they take to make sense of measurements; and, when you write optimized code, obviously you're not doing measurement-driven iteration change, measure, change, measure… but rather have some overall plan of an optimized implementation, having weighed alternatives in your head rather than done measurements for N implementations.

All I'm saying is that on top of that, when you have an app coded by reasonable people, where performance isn't then continuously measured, it becomes crap. One phrase I found sadly true is that if everything works then it's just because you didn't look closely enough. PS: For code efficiency is even worse… especially when people starts doing "optimizations" without using a decent i. After the change computation in one use case went down from 25 minutes to 3 seconds and those were mostly the update of the progress bar that was added to inform users that the system wasn't indeed dead.

If a tree falls in a forest, it kills Schrödinger's cat

Yes, profilers are useless in most cases. Problem is that good programmer will use correct and efficient method from the start and bad programmer can't improve by only using a profiler or come other tool, instead of reading some good books. Existence of profilers and optimizing compilers is being used as excuse for writing sloppy code. Today many students are taught: "write working code first, think about speed later usually never ".

Sorry for bad english. People are taught this for a good reason. If you try to write "correct and efficient" code from the start as you recommend, you are making your task artificially more difficult, and therefore increasing the likelihood of making errors. This is not to say that you should purposely write "sloppy" code or reject all thoughts of performance, just that the focus should not be on writing optimal code in the first pass.

To presume that you can write correct and well-optimised code on the first attempt is optimistic and rather dangerous. Going back to profilers, I don't buy the idea that they only help people to solve trivial optimisation problems. A more important use is to justify where optimisation is worthwhile. Someone raises their hand and asks how much time this would save. Nobody answers, so the programmer does a profiling run and discovers that the "slow" algorithm currently takes 50ms, which is dwarfed by the slow network queries that are performed immediately afterwards.

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