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Implement a file parser that drives a state machine to extract the test data
from the .txt files and manages the parsed data. Comments and empty lines are
ignored. The code currently assumes that instruction lines are at the start
of the file (which isn't generally true) and only supports two line types for
now. This is good enough for all the ML-KEM tests but should be easy enough
to extend.
Once all data for a test case is parsed in the expected order, a test handler
is called which can retrieve the test data via a simple API and throw warnings
and errors with information on the test case line number, etc.
Merge the tests into three programs: one parsing the .txt files and running
the corresponding test cases, a unit test and the iteration tests. Deduplicate
the actual test code and let the caller pass in an object containing the
API functions, private keys and arrays that need to be different between the
768 version and the 1024 version. This way we don't have two sets of half a
dozen .c files differing only in 3 or 4 occurrences of 768 and 1024.
All this will also make it a lot easier to hook these tests into portable.
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