Abstract: Generating a data parser for parsing an input stream of data objects includes receiving information representative of a hierarchical data format defining a plurality of objects organized in a hierarchy. The objects include one or more schema objects representing data objects, and one or more container objects each associated with one or more schema objects. The generating also includes processing the received information to form the data parser. The processing includes determining permissible transitions between successive data objects in the input stream, based at least in part on the information representative of the hierarchical data format. The processing also includes associating one or more data operations with each of the determined permissible transitions.

Abstract: Generating a data parser for parsing an input stream of data objects includes: receiving information representative of a hierarchical data format defining a plurality of objects organized in a hierarchy, the objects including one or more schema objects representing data objects, and one or more container objects each associated with one or more schema objects; and processing the received information to form the data parser.

Abstract: A system and a method provide full visibility to each net of a design under modeling by saving states of the design during modeling and reconstructing waveforms at each net by logic evaluation using the saved states. In one embodiment, primary data input signals and memory output signals ("sample signals") are saved by a logic analyzer, and used in an emulator to generate state vectors from a state snapshot previously recorded. Data compression techniques can be applied to minimize storage requirements, and parallel evaluation of segments of waveforms can be achieved, since saved states for the entire period of interest are available for waveform reconstruction at the time of the logic evaluation.