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This is the table that stores information about tags associated with an entity. Table A-38. field_data_field_tags

TIP To really get under the hood of Media Player, download TweakMP. This PowerToy (capable of working on all Media Player versions since 9) enables you to get into all the hidden Media Player settings, whereby you obtain total control over everything Media Player could possibly be configured to do.

The Stitch language runtime provides execution modes for running Stitch code in either a sequential manner or in parallel. Later in this chapter, you will see that the implementation of the Stitch language runtime uses .NET Parallel Extension to run Stitch code in parallel. For now, let s just see an example that shows the parallel execution feature of Stitch in action. The code in Listing 9-6 has three Stitch functions task1, task2, and task3. Each of the functions consists of a block of Python code that prints a message to the screen and calls Thread.SpinWait to simulate some busy work. The three Stitch functions don t have any dependency among them and therefore are perfectly ideal for parallel execution. Listing 9-6. Three Python Scripts with no Dependency among Themselves <task1 () Python> import clr from System.Threading import Thread print "Task1 runs on thread id " + Thread.CurrentThread.ManagedThreadId.ToString() Thread.SpinWait(1000000000) <return()> <task2 () Python> import clr from System.Threading import Thread print "Task2 runs on thread id " + Thread.CurrentThread.ManagedThreadId.ToString() Thread.SpinWait(1000000000) <return()> <task3 () Python> import clr from System.Threading import Thread print "Task3 runs on thread id " + Thread.CurrentThread.ManagedThreadId.ToString() Thread.SpinWait(1000000000) <return()>

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The field_data_taxonomy_foirums table stores information about taxonomy terms associated with forums. Table A-39. field_data_taxonomy_forums

Finally, under Now Playing Plug-Ins Options, you can alter the properties (where possible) of installed plug-ins and visualizations. With the Options dialog box, you can perform much of the advanced media player configuration that we cover later in the Using the Advanced Library Options section.

The revision ID The language associated with the entity The sequence number for this data item, used for multi-value fields

We just looked at using a static language s code in a dynamic language, now we ll look at the reverse using a dynamic language s code in a static language. One major difference between this scenario and the previous is that dynamic language code does not need to be compiled until run time. Because dynamic language code is not compiled into an assembly at compile time, we don t get a hold of the code by adding an assembly reference to our C# project. Instead, the C# code directly references the dynamic language source code, as in Listing 6-3. The example in Listing 6-3 makes use of the DLR Hosting API only to a limited extent. It calls the CreateEngine static method of the IronPython.Hosting.Python class to create a script engine for running IronPython code. IronPython.Hosting.Python is an IronPython-specific class in the IronPython.dll assembly. In order for the code in Listing 6-3 to compile, we need to add a reference to the IronPython.dll assembly. Had we used the language-neutral DLR Hosting API to create the script engine, we wouldn t need to add the reference to the C# project. The type of the script engine instance is ScriptEngine, which is a class in the DLR Hosting API. The example in Listing 6-3 uses some features of the DLR Hosting API and some features specific to the IronPython implementation. Later in this chapter, you ll see examples that use only the DLR Hosting API. Listing 6-3. Running IronPython Code in C# private static void CSHostsIronPython() { ScriptEngine engine = Python.CreateEngine(); engine.Execute("print \"hello\""); }

serial, unsigned varchar(128) No int:tiny No int No int Yes varchar(32) No int No text:big Yes text:big Yes int Yes

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