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The alternative to runtime reflection is compile-time source generation. In .NET 6, we are including a new source generator as part of System.Text.Json. The JSON source generator works in conjunction with JsonSerializer and can be configured in multiple ways.
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By default, the JSON source generator emits serialization logic for the given serializable types. This delivers higher performance than using the existing JsonSerializer methods by generating source code that uses Utf8JsonWriter directly. In short, source generators offer a way of giving you a different implementation at compile-time in order to make the runtime experience better.
The source generator can be configured to generate serialization logic for instances of the example JsonMessage type. Note that the class name JsonContext is arbitrary. You can use whichever class name you want for the generated source.
The source generator also emits type-metadata initialization logic that can benefit deserialization as well. To deserialize an instance of JsonMessage using pre-generated type metadata, you can do the following:
In the preceding example, the logging method is static and the log level is specified in the attribute definition. When using the attribute in a static context, the ILogger instance is required as a parameter. You may choose to use the attribute in a non-static context as well. For more examples and usage scenarios, visit the compile-time logging source generator documentation.
Enables support for very fast iterative builds by caching target data. Turning this on causes Unreal Build Tool to emit 'UBT Makefiles' for targets when they are built the first time. Subsequent builds will load these Makefiles and begin outdatedness checking and build invocation very quickly. The caveat is that if source files are added or removed to the project, UBT will need to gather information about those in order for your build to complete successfully. Currently, you must run the project file generator after adding/removing source files to tell UBT to re-gather this information.
Note that if you want to create a 3D LUT for a display that is directly connected (e.g. for Resolve's GUI viewer), you should not use the Resolve pattern generator, and select the actual display device instead which will allow for quicker measurements (Resolve's pattern generator has additional delay).
The Tiny Code Generator (TCG) aims to remove the shortcoming of relying on a particular version of GCC or any compiler, instead incorporating the compiler (code generator) into other tasks performed by QEMU at run time. The whole translation task thus consists of two parts: basic blocks of target code (TBs) being rewritten in TCG ops - a kind of machine-independent intermediate notation, and subsequently this notation being compiled for the host's architecture by TCG. Optional optimisation passes are performed between them, for a just-in-time compiler (JIT) mode.
In Python 2, next() as a method of generator object, is allowed. In Python 2, the next() function, to iterate over generator object, is also accepted. In Python 3, however, next(0 as a generator method is discontinued and raises AttributeError.
When a generator function is called, it returns a generator object without even beginning execution of the function. When the next() method is called for the first time, the function starts executing until it reaches the yield statement, which returns the yielded value. The yield keeps track i.e. remembers the last execution and the second next() call continues from previous value.