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{ "id":9009104257, "title":"ProScale 555 \"Johnny Five\" Digital Pocket Scale", "handle":"proscale-555-johnny-five-digital-pocket-scale", "description":"\u003cp\u003eThe ProScale 555 Digital Pocket Scale provides everything you need for a low cost scale. The Johnny FiveåÊhas a 555g maximum weighing capacity and is accurate to 0.1g. This pocket scale features a backlit display for easy readability, removable cover that doubles as an expansion tray for weighing larger amounts of product, and a convenient 30 second auto-off feature.\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e555g x 0.1g Capacity\/Precision\u003c\/li\u003e\n\u003cli\u003eWeighing Modes: g, oz, dwt, gn\u003c\/li\u003e\n\u003cli\u003eBacklit LCD Display\u003c\/li\u003e\n\u003cli\u003eCover Doubles as Expansion Tray\u003c\/li\u003e\n\u003cli\u003eDimensions: 3.5\" x 2.25\" x .75\"\u003c\/li\u003e\n\u003cli\u003eCalibration: 300g\u003c\/li\u003e\n\u003cli\u003eTare Range: Full Capacity\u003c\/li\u003e\n\u003cli\u003eAuto Off: 30 Seconds\u003c\/li\u003e\n\u003cli\u003ePower: 2x AAA Batteries (Included)\u003c\/li\u003e\n\u003c\/ul\u003e", "published_at":"2017-03-14T16:16:00-05:00", "created_at":"2017-03-14T16:16:50-05:00", "vendor":"ProScale", "type":"Scales", "tags":["Brand_ProScale","Color_Black","Parts \u0026 Accessories","Price_$10-$25","Product Type_Scales","Smoking Gear","Vendor_HBI","w40"], "price":1400, "price_min":1400, "price_max":1400, "available":true, "price_varies":false, "compare_at_price":null, "compare_at_price_min":0, "compare_at_price_max":0, "compare_at_price_varies":false, "variants":[{"id":31886546177, "title":"Default Title", "option1":"Default Title", "option2":null, "option3":null, "sku":"PS555", "requires_shipping":true, "taxable":true, "featured_image":null, "available":true, "options":["Default Title"], "price":1400, "weight":90, "compare_at_price":null, "inventory_quantity":31, "inventory_management":"shopify", "inventory_policy":"deny", "barcode":"716165162421"}], "images":["\/\/cdn.shopify.com\/s\/files\/1\/1752\/6725\/products\/proscale-scales-proscale-555-johnny-five-digital-pocket-scale-21015638785.jpg?v=1518050393","\/\/cdn.shopify.com\/s\/files\/1\/1752\/6725\/products\/proscale-scales-proscale-555-johnny-five-digital-pocket-scale-21015638977.jpg?v=1518050393","\/\/cdn.shopify.com\/s\/files\/1\/1752\/6725\/products\/proscale-scales-proscale-555-johnny-five-digital-pocket-scale-21015638657.jpg?v=1518050393","\/\/cdn.shopify.com\/s\/files\/1\/1752\/6725\/products\/proscale-scales-proscale-555-johnny-five-digital-pocket-scale-21015638529.jpg?v=1518050393"], "featured_image":"\/\/cdn.shopify.com\/s\/files\/1\/1752\/6725\/products\/proscale-scales-proscale-555-johnny-five-digital-pocket-scale-21015638785.jpg?v=1518050393", "options":["Title"], "content":"\u003cp\u003eThe ProScale 555 Digital Pocket Scale provides everything you need for a low cost scale. The Johnny FiveåÊhas a 555g maximum weighing capacity and is accurate to 0.1g. This pocket scale features a backlit display for easy readability, removable cover that doubles as an expansion tray for weighing larger amounts of product, and a convenient 30 second auto-off feature.\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e555g x 0.1g Capacity\/Precision\u003c\/li\u003e\n\u003cli\u003eWeighing Modes: g, oz, dwt, gn\u003c\/li\u003e\n\u003cli\u003eBacklit LCD Display\u003c\/li\u003e\n\u003cli\u003eCover Doubles as Expansion Tray\u003c\/li\u003e\n\u003cli\u003eDimensions: 3.5\" x 2.25\" x .75\"\u003c\/li\u003e\n\u003cli\u003eCalibration: 300g\u003c\/li\u003e\n\u003cli\u003eTare Range: Full Capacity\u003c\/li\u003e\n\u003cli\u003eAuto Off: 30 Seconds\u003c\/li\u003e\n\u003cli\u003ePower: 2x AAA Batteries (Included)\u003c\/li\u003e\n\u003c\/ul\u003e"}
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The ProScale 555 Digital Pocket Scale provides everything you need for a low cost scale. The Johnny FiveåÊhas a 555g maximum weighing capacity and is accurate to 0.1g. This pocket scale features a backlit display for easy readability, removable cover that doubles as an expansion tray for weighing larger amounts of product, and a convenient 30 second auto-off feature.

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Unfortunately, each list was “hand-maintained” — there were no shared functions to link and unlink elements from these lists; programmers just manually inlined the link and unlink behavior anywhere it was required. And hand-rolled code is far more error-prone than simply using a routine that’s already been debugged.

Some of the link fields were shared among several lists, so it was necessary to know exactly which list an object was linked into in order to safely unlink. And some link fields were even stored in C unions with other data types to keep memory utilization to a minimum.

So the game would blow up all the time. All the time.

Tragically, there was no need for these linked-list problems to exist. Alberto Guardiani Sport Footwear Boots Women g7KIgOuN8S
, who, along with BCBGeneration Marci Shell Leather Womens Shoes Beige mnV9vQuup
, cofounded ArenaNet with me, wrote a library called Storm.DLL, which shipped with Diablo. Among its many features, storm contained an excellent implementation of doubly-linked lists using templates in C++.

During the initial development of StarCraft, that library was used. But early in the development the team ripped out the code and hand-rolled the linked-lists, specifically to make writing save-game files easier.

Let me talk about save games for a second to make this all clearer.

Many games that I played before developing Warcraft had crappy save-game functionality. Gamers who played any game created by Origin will remember how looooooong it took to write save-game files. I mean sure, they were written by slow microprocessors onto hard-drives that — by today’s standards — are as different as tricycles and race cars. But there was no reason for them to suck, and I was determined that Warcraft wouldn’t have those problems.

So Warcraft did some tricks to enable it to write large memory blocks to disk in one chunk instead of meandering through memory writing a bit here and there. The entire unit array (600 units times a few hundred bytes per unit) could be written to disk in one chunk. And all non-pointer-based global variables could similarly be written in one chunk, as could each of the game-terrain and fog-of-war maps.

But oddly enough, this ability to write the units to disk in one chunk wasn’t essential to the speed of writing save game files, though it did drastically simplify the code. But it worked primarily because Warcraft units didn’t contain “pointer” data.

StarCraft units, which as mentioned previously contained scads of pointers in the fields for linked lists, was an entirely different beast. It was necessary to fixup all the link pointers (taking special care of unioned pointer fields) so that all 1600 units could be written at once. And then unfixup the link pointers to keep playing. Yuck.

So after fixing many, many linked list bugs, I argued vehemently that we should switch back to using Storm’s linked lists, even if that made the save-game code more complicated. When I say “argued vehemently”, I should mention that was more or less the only way we knew how to argue at Blizzard — with our youthful brashness and arrogant hubris, there was no argument that wasn’t vehement unless it was what was for lunch that day, which no one much wanted to decide.

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released May 4, 2018 Ethan Miller - Guitar, Vocals, Keys (Track 1) Cyrus Comiskey - Bass (Track 1) Dale Crover - Drums (Tracks 1, 9) Toshi Kasai - Keys (Tracks 1, 4) Christian Eric Beaulieu - Guitar (All tracks), Drums (Tracks 2, 5, 8), Organ (Track 3), Percussion (Tracks 4, 6, 7) Bret Constantino - Vocals (Tracks 2, 9), Keys (Track 9), Harmonica (Track 9) Matt Holliman - Guitar (Tracks 2, 9) Phil Manley - Bass (Tracks 2, 5) Mike Watt - Bass (Track 3) Gregory Rogove - Drums (Track 3) Isaiah Mitchell - Harp (Track 3) Jonathan Hiscke - Bass (Tracks 4, 6, 7, 9) Krist Novoselic - Accordion (Tracks 5, 9) Phil Manley - Bass (Track 2, 5) Cedric Bixler Zavala - Drums (Track 6) Naima Mora - Vocals (Track 8) Larry Boothroyd - Bass (Track 8) Recording Mixing by Toshi Kasai, Phil Manley, Phil Becker Mastering by Phil Becker Artwork by Sonny Kay
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says:
May 3, 2013 at 11:06 am

Cameron, You are 100% correct that we are counting on the ResponseID being random as INDEX() itself doesn’t scatter the marks randomly. That said, I have yet to see a case where ResponseID didn’t work for this type of thing. Steve

says:
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I think it’s mostly (but infrequently, like you said) cases where the data source has been preprocessed for some reason. If I am connecting to an excel workbook, for example, and the client that sent it to me has presorted the worksheet I’m looking at by salary, then it may cause a problem. I just wanted to point out to other readers that they would need to go into the data source itself in order to make the correction.

Similarly, for data generated and therefor pre-sorted by time (i.e. log files), any plot with a time-related field on the y-axis will have a dependency with the index() and won’t give you a random distribution.

says:
July 16, 2013 at 9:07 am

Here’s a good one – plotting total hours worked by index based on employeeID. Should work fine, no? No, a tail is created because (of course) employeeIDs appear later in the data for new employees, so those hired halfway through the data period will have a lower total hours and appear to the right side…

One way I’ve dealt with this is to use a mod function on the index that provides a suitable spread for the width of the data: index()%100 for example

While nowhere near as comprehensive or configurable as the example on Russell’s link, it’s a little simpler.

says:
January 16, 2014 at 7:18 pm

What about using R integration to get some random numbers?

says:
January 17, 2014 at 12:10 am

Damien, I don’t see why in this case (and most cases) we would need to introduce a randomization element. I can see problems if for some reason the data has an inherent sort to it, but I don’t think I’ve ever run into that.

(Famous last words… I’ll probably run into it next week).

says:
January 17, 2014 at 9:39 pm

I agree in this case it’s useless.

Actually, I slept on it and I couldn’t see either why we would need random numbers directly in Tableau. Randomization might mostly be used in some kind of simulations, but it’s likely it would be integrated in some R functions giving only the result we want to visualize.

I’ve also been looking in Tableau Ideas section and found that some people would like a random function for two purposes (I cite): – Filter random sample data when working on a Viz – Generate jitter for placing points on maps in a visible way when multiple data points are geocoded to the same location

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