Abstract: The present disclosure relates to systems and methods for automatically optimizing a reporting architecture of an application. In one implementation, a system for automatically optimizing a reporting architecture of an application may include a memory storing instructions and an automata processor configured to execute the instructions. The instructions may include identifying one or more state transition elements in the application; determining if two or more state transition elements have disjoint character sets; grouping two or more state transition elements having disjoint character sets into one or more groups; merging state transition elements included in the one or more groups; and outputting a merged report configured for disambiguation on a second processor.

Abstract: The present disclosure relates to systems and methods for automatically optimizing a reporting architecture of an application. In one implementation, a system for automatically optimizing a reporting architecture of an application may include a memory storing instructions and an automata processor configured to execute the instructions. The instructions may include identifying one or more state transition elements in the application; determining if two or more state transition elements have disjoint character sets; grouping two or more state transition elements having disjoint character sets into one or more groups; merging state transition elements included in the one or more groups; and outputting a merged report configured for disambiguation on a second processor.

Abstract: Disclosed embodiments include systems, methods, and computer-readable media for generating pseudo-random numbers. Disclosed embodiments may receive, by the at least one processor, range data indicating a range of numbers. Disclosed embodiments may generate, based on the range data and by the at least one processor, a digitized finite state machine configured to produce pseudo-random output within the range of numbers. Further, disclosed embodiments may provide, by the at least one processor to a specialized pattern-matching device, programmable instructions to implement the digitized finite state machine on the specialized pattern-matching device. Disclosed embodiments may transmit, by the at least one processor to the specialized pattern-matching device, a pseudo-random bit stream for processing by the digitized finite state machine. Disclosed embodiments may receive, by the at least one processor from the specialized pattern-matching device, pseudo-random output from the digitized finite state machine.

Abstract: Disclosed embodiments include systems, methods, and computer-readable media for generating pseudo-random numbers. Disclosed embodiments may receive, by the at least one processor, range data indicating a range of numbers. Disclosed embodiments may generate, based on the range data and by the at least one processor, a digitized finite state machine configured to produce pseudo-random output within the range of numbers. Further, disclosed embodiments may provide, by the at least one processor to a specialized pattern-matching device, programmable instructions to implement the digitized finite state machine on the specialized pattern-matching device. Disclosed embodiments may transmit, by the at least one processor to the specialized pattern-matching device, a pseudo-random bit stream for processing by the digitized finite state machine. Disclosed embodiments may receive, by the at least one processor from the specialized pattern-matching device, pseudo-random output from the digitized finite state machine.