We moved the literals true and false into one tag
type, so we an extra tag for raw pointer types
(light userdata). These can be used from the C API via
janet_wrap_pointer and janet_unwrap_pointer.
Instead of a int32_t as the length argument, use
size_t to match up better with typearray.c and probably
most idiomatic C libraries.
Janet uses int32_t for length internally for consistency, space
efficiency, ability to fit int32_t in double, and various
other reasons.
Typed arrays used size_t in serialization: C APIs will
also often use it, so it makes sense to add first class support
for it rather than assume it will will fint into an integer.
These changes should quiet some visual studio warnings.
Also make some spacing more consistent.
Leave in issues with calling memcpy with size=0. If these
become a problem, will probably add a janet_memcpy as memcpy
is used so much in the code without 0 checks.
Before, we used a local setjmp/longjmp for error handling.
Using janet_panic means errors can be more easily expressive and
code can be smaller.
However, we still need to make vector memory get gc collected, as
panics can cause the runtime to skip janet_v_frees.
A consistent style should help with contributors and
readability. We use astyle as the formatter as can make a pretty
good approximation of the current style and my preferred style.
Astyle can be found at http://astyle.sourceforge.net/astyle.html
We need to be able to detect tuple type from janet code, otherwise
tuples will contain hidden state. The tuple/type function is able
to detect the flags in the tuple so the programmer can access them
if needed.
This should speed up start time and reduce malloc/free
usage to about 15% of what is what previously for startup.
The current cost is slightly larger binary as the representaion
of the image is currently less compact than source code.
Error handling is implemented with setjmp/longjmp so code
can be more concise. This required a very large but straight forward refactor for all
of the libraries.
remove some complexity and unexpected behavior around numbers in
general as all numbers are the same number type, IEEE 754 double
precision numbers. Also update examples and tests, some of which were
out of date.
Some more testing may be needed for new changes to numbers.
