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Had to change the hundreds and hundreds of places such values were
used. However this now lets us automatically prove cheri-concentrate
properties. Such as showing
function prop_cap_round_trip(cap: bits(128)) -> bool = {
let cap_rt = capToBits(capBitsToCapability(true, cap));
cap == cap_rt
}
is always true.
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Add a function Jib_optimize.inline which can inline functions. To make
this more efficient, we can make identifiers unique on a per-function
basis.
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Add a CL_void l-expression so we don't have redundant unit-typed
variables everywhere, and add an optimization in Jib_optimize called
optimize_unit which introduces these.
Remove the basic control-flow graph in Jib_util and add a new mutable
control-flow graph type in Jib_ssa which allows the IR to be converted
into SSA form. The mutable graph allows for more efficient updates,
and includes both back and forwards references making it much more
convenient to traverse.
Having an SSA representation should make some optimizations much
simpler, and is also probably more natural for SMT generation where
variables have to be defined once using declare-const anyway.
Debug option -ddump_flow_graphs now outputs SSA'd graphs of the
functions in a specification.
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