Microsoft Technology Licensing, LLC

Ryan A Byington

Jesse Daniel Kaplan

Shawn Farkas

Richard M Byers

Raja Krishnaswamy

James S Miller

Brian M Grunkemeyer

Anthony J Moore

Ladislav Prosek

Melitta Andersen

Ariel Weinstein

Embodiments are directed to dynamically adapting metadata for use with a native data encoding and to efficiently modifying object model type references. In one scenario, a computer system instantiates a metadata reader over an object model description to access various portions of metadata in the object model description. The metadata reader is configured to read native metadata, where native metadata is metadata represented in an encoding that is expected by the metadata reader. The metadata reader determines that the accessed metadata is encoded in a non-native encoding and then determines which metadata modifications are to be performed to transform the non-native encoding into a native encoding. The computer system then dynamically adapts the metadata of the object model from a non-native encoding to a native encoding according to the determined modifications. As such, the object model is readable by a native runtime.

Efficiently providing multiple metadata representations of the same type

Embodiments are directed to providing a simulation of a type-level construct on an interface instance and to maintaining a token-based event handling system. In one scenario, a computer system instantiates an interface instance that includes an instance object and multiple instance members. The computer system also instantiates a separate typed object which is configured to maintain one or more simulated type-level parameterized constructors. The computer system then associates the instantiated interface instance with the separate typed object. The typed object routes method invocations from the interface instance to various simulated type-level parameterized constructors and static members of the type.

Simulation of static members and parameterized constructors on an interface-based API

Various technologies and techniques are disclosed for providing a numeric tower that represents a structure supporting statically defined numeric data types. The numeric data types each are operable to implement a different but accurate representation of a particular value. Numeric operations are supported for the numeric tower that can be performed with any of the statically defined numeric data types. The numeric tower is extensible, and allows for additional statically defined numeric data types to be added, as well as operations. The numeric tower is also operable to detect overflow situations. For example, suppose a result of an operation will result in an overflow situation because the operation does not fit within a range supported by the particular numeric type. The system converts the numeric type to a different one of the numeric data types when the result does not fit within a range supported by the first one.

Tower of numeric types

Growing community of inventors

Redmond, WA, United States of America

Ryan A Byington