Apache Beam is an open source, unified model and set of language-specific SDKs for defining and executing data processing workflows, and also data ingestion and integration flows, supporting Enterprise Integration Patterns (EIPs) and Domain Specific Languages (DSLs). Dataflow pipelines simplify the mechanics of large-scale batch and streaming data processing and can run on a number of runtimes like Apache Flink, Apache Spark, and Google Cloud Dataflow (a cloud service). Beam also brings DSL in different languages, allowing users to easily implement their data integration processes.

The pointer-sized signed integer type.

Traits for conversions between types.

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The intercept attribute defines the intercept of the linear function of color component transfers when the type attribute is set to linear.

Constants for the `f128` quadruple-precision floating point type.

The yield* operator can be used within generator (sync or async) functions to delegate to another iterable object, such as a Generator. Inside async generator functions, it can additionally be used to delegate to another async iterable object, such as an AsyncGenerator.

The try...catch statement is comprised of a try block and either a catch block, a finally block, or both. The code in the try block is executed first, and if it throws an exception, the code in the catch block will be executed. The code in the finally block will always be executed before control flow exits the entire construct.

The maskUnits attribute indicates which coordinate system to use for the geometry properties of the <mask> element.

The `Default` trait for types with a default value.