Decoding is the action of converting from one sequence of encoded information to a sequence of decoded information. The formula given for Decoding is effectively just the first half of the diagram shown in the main Lucky 7 documentation, reproduced here with emphasis added:
In particular, we are interested in the operation that helps us go from the encoded input to the decoded output, which is the top half of the diagram. The output we are interested in is labeled as an “intermediate”, because that is often what it is. But, there are many uses for working directly with the decoded data. Many Unicode algorithms are specified to work over unicode code points or unicode scalar values. In order to identify Word Breaks, classify Uppercase vs. Lowercase, perform Casefolding, Regex over certain properties properly, Normalize text for search + other operations, and many more things, one needs to be working with code points as the basic unit of operation.
Thusly, we use the algorithm as below to do the work. Given an
code_units with an
encoding, a target
output, and any necessary additional
state, we can generically bulk convert the input sequence to a form of
code_points in the
⏩ Is the
inputvalue empty? Return the current results with the the empty
state, everything is okay ✅! Otherwise,
end()) into the
🛑 If it failed, return with the current
input(unmodified from before this iteration, if possible),
begin()value to point to after what was read by the
⤴️ Go back to the start.
This involves a single encoding type, and so does not need any cooperation to go from the
code_units to the
code_points. Notably, the encoding’s
code_point type will hopefully be some sort of unicode code point type (see: ztd::text::is_code_point for a more code-based classification). Though, it does not have to be for many different (and very valid) reasons.
Check out the API documentation for ztd::text::decode to learn more.