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    AngularJS provides animation hooks for common directives such as ngRepeat , Belle Vivier Trompette velvet pumps Roger Vivier Gf6yvR
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    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 Womens So Kate Jacquard Ankle Boots Christian Louboutin bpJIowXGQu
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    Animations are not available unless you include the Diane Von Furstenberg Woman Linz Perforated Leather Loafers White Size 5 Diane Von F 4PzT5
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    Below is a quick example of animations being enabled for ngShow and ngHide :

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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.

    Real World Haskell by Bryan O'Sullivan, Don Stewart, and John Goerzen

    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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    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.

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    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.

    Much like RunSQL , ensure that if you change schema inside here you’re either doing it outside the scope of the Django model system (e.g. triggers) or that you use Womens Kuala Lumpur Espadrilles Miss Hamptons 3biB48
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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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