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    AngularJS provides animation hooks for common directives such as
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    , as well as custom directives via the $animate service. These animation hooks are set in place to trigger animations during the life cycle of various directives and when triggered, will attempt to perform a CSS Transition, CSS Keyframe Animation or a JavaScript callback Animation (depending on whether an animation is placed on the given directive). Animations can be placed using vanilla CSS by following the naming conventions set in place by AngularJS or with JavaScript code, defined as a factory.

    Note that we have used non-prefixed CSS transition properties in our examples as the major browsers now support non-prefixed properties. If you intend to support older browsers or certain mobile browsers then you will need to include prefixed versions of the transition properties. Take a look at Mens Era Trainers Vans FMHK2FI
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    You may also want to setup a separate CSS file for defining CSS-based animations.

    Animations in AngularJS are completely based on CSS classes. As long as you have a CSS class attached to an HTML element within your application, you can apply animations to it. Let's say for example that we have an HTML template with a repeater like so:

    As you can see, the repeated - item class is present on the element that will be repeated and this class will be used as a reference within our application's CSS and/or JavaScript animation code to tell AngularJS to perform an animation.

    As ngRepeat does its thing, each time a new item is added into the list, ngRepeat will add an ng - enter class to the element that is being added. When removed it will apply an ng - leave class and when moved around it will apply an ng - move class.

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    Chapter24.Concurrent and multicore programming

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    As we write this book, the landscape of CPU architecture is changing more rapidly than it has in decades. Loading...

    Defining concurrency and parallelism

    A concurrent program needs to perform several possibly unrelated tasks at the same time. Consider the example of a game server: it is typically composed of dozens of components, each of which has complicated interactions with the outside world. One component might handle multi-user chat; several more will process the inputs of players, and feed state updates back to them; while another performs physics calculations. Loading...

    The correct operation of a concurrent program does not require multiple cores, though they may improve performance and responsiveness. Loading...

    In contrast, a parallel program solves a single problem. Consider a financial model that attempts to predict the next minute of fluctuations in the price of a single stock. If we want to apply this model to every stock listed on an exchange, for example to estimate which ones we should buy and sell, we hope to get an answer more quickly if we run the model on five hundred cores than if we use just one. As this suggests, a parallel program does not usually depend on the presence of multiple cores to work correctly. Loading...

    Another useful distinction between concurrent and parallel programs lies in their interaction with the outside world. By definition, a concurrent program deals continuously with networking protocols, databases, and the like. A typical parallel program is likely to be more focused: it streams data in, crunches it for a while (with little further I/O), then streams data back out. Loading...

    Many traditional languages further blur the already indistinct boundary between concurrent and parallel programming, because they force programmers to use the same primitives to construct both kinds of program. Loading...

    In this chapter, we will concern ourselves with concurrent and parallel programs that operate within the boundaries of a single operating system process. Loading...

    Concurrent programming with threads

    As a building block for concurrent programs, most programming languages provide a way of creating multiple independent threads of control . Haskell is no exception, though programming with threads in Haskell looks somewhat different than in other languages. Loading...

    In Haskell, a thread is an IO action that executes independently from other threads. To create a thread, we import the Control.Concurrent module and use the forkIO function. Loading...

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    In 2016, the world witnessed augmented reality take center stage in the form of Pokemon Go . The viral sensation that got Pikachu and Charizard out of the Gameboy and onto your front lawn, whether you wanted them there or not! This was the first major example of AR finding mass market acceptance and infiltrating our daily lives.

    Virtual and augmented realities in 2017 are already making dramatic leaps forward as startups find ways to introduce smell and touch to expand your sensory experiences. Technology company Immersion has introduced TouchSense Force, using haptic feedback to bring player's hands into VR worlds , and researchers at Stanford University’s Virtual Human Interaction Lab are having to resist Womens Amy Np ClosedToe Heels Carvela 53gyN38d3
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    Also, beyond the obvious media and entertainment applications for AR/VR technologies, design and engineering companies the likes of Solidworks are demonstrating their commitment to immersive design with AR and VR related partnerships, including NVIDIA, Microsoft, Lenovo, and HTC Vive.

    While both augmented reality and virtual reality are gaining speed, and are more relevant in our current marketplace than ever before as millions of users hunt Pokemon and Oculus Rift becomes a consumer ready device, they are still more than anything a toy for a small minority of marketers and tech enthusiasts.

    The reason is because both are hindered by our ability to render 3D environments in real-time. AR less so, because the environment already exists and you are just adding onto it, but the problem with creating high resolution, life-like objects, still persists.

    We can equate this back to Womens Cevi Trousers Gardeur C5BNg6vIXg
    . Take the Nintendo N64 for example. 007: GoldenEye was a remarkable game for its time - and still has a major fan base today - but it has a very low polygon count. A polygon is the most basic form of 3D, and the more polygons that make up an image, the higher the 3D resolution.

    Now, games have polygon counts in the billions, and they are only getting better. Trailers for new games these days are looking more and more like movies than games, and that bodes well for the future of VR and AR experiences.

    The more life-like these animated realities become, both overlaid and fully-immersive, the more mainstream society will embrace their role as the future of gaming, brand experiences , and communication.

    The reverse_code argument is called when unapplying migrations. This callable should undo what is done in the code callable so that the migration is reversible.

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    You are advised to write the code as a separate function above the Migration class in the migration file, and just pass it to RunPython . Here’s an example of using RunPython to create some initial objects on a Country model:

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    If you’re upgrading from South, this is basically the South pattern as an operation - one or two methods for forwards and backwards, with an ORM and schema operations available. Most of the time, you should be able to translate the orm.Model or orm["appname", "Model"] references from South directly into apps.get_model("appname", "Model") references here and leave most of the rest of the code unchanged for data migrations. However, apps will only have references to models in the current app unless migrations in other apps are added to the migration’s dependencies.

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    By default, RunPython will run its contents inside a transaction on databases that do not support DDL transactions (for example, MySQL and Oracle). This should be safe, but may cause a crash if you attempt to use the schema_editor provided on these backends; in this case, pass atomic=False to the RunPython operation.

    On databases that do support DDL transactions (SQLite and PostgreSQL), RunPython operations do not have any transactions automatically added besides the transactions created for each migration. Thus, on PostgreSQL, for example, you should avoid combining schema changes and RunPython operations in the same migration or you may hit errors like OperationalError: cannot ALTER TABLE "mytable" because it has pending trigger events .

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