Data encoding with system RPL: a new approach
In my continuous exploration of the HP48 GX’s potential, I’ve developed a robust routine for encoding objects in System RPL. This routine represents a significant enhancement in how data types are manipulated and stored on the device. It’s not about cutting-edge technology but about building a reliable method that stands the test of complex requirements and usage scenarios.
The genesis of the idea
While working with the HP48 GX, I realized the need for a more efficient way to encode and store various data types. The device, known for its computational prowess, lacked a method that could seamlessly handle real, complex, string, and other data types in a unified manner. This led me to devise a routine that could not only encode these data types effectively but also ensure their integrity through a checksum mechanism.
The routine explained
The routine takes any string input and encodes it by converting each character into a binary integer representation, ensuring that each encoded character is exactly three characters long by adding a base value of 100. It then calculates a basic checksum for added reliability. This method is particularly useful for scenarios requiring data to be stored or transmitted in a compact and consistent format.
Tested with Jazz assembler
To ensure the robustness of this routine, I tested it using the “Jazz” assembler, a popular tool among HP48 developers for its efficiency and effectiveness in compiling System RPL programs. The testing phase was crucial in refining the routine, allowing me to adjust and optimize it for better performance.
Available on GitHub
I’ve published the routine on GitHub, making it accessible to other enthusiasts and developers interested in expanding the capabilities of their HP48 GX devices. The decision to share this work stems from my belief in the power of community collaboration and open-source development.
For those interested in exploring this routine further or incorporating it into their projects, I invite you to visit my GitHub repository here. Your feedback and contributions are highly welcomed as we continue to explore the possibilities of System RPL together.