Fuzzy bsearch is useful for finding an entry in a prefix sum array
(value is >= ele[0], < ele[1]), and the reentrant version is good when
data needs to be passed to the compare function. Adapted from the code
used in pr_resolve.
A bit of a mess for optimized vs unoptimized, but the tests acknowledge
the differences in precision while checking that the code produces the
right results allowing for that precision.
It seems that i686 code generation is all over the place reguarding sse2
vs fp, with the resulting differences in carried precision. I'm not sure
I'm happy with the situation, but at least it's being tested to a
certain extent. Not sure if this broke basic (no sse) i686 tests.
GCC does a fairly nice job of producing code for vector types when the
hardware doesn't support SIMD, but it seems to break certain math
optimization rules due to excess precision (?). Still, it works well
enough for the core engine, but may not be well suited to the tools.
However, so far, only qfvis uses vector types (and it's not tested yet),
and tools should probably be used on suitable machines anyway (not
forces, of course).
I don't know that the cache line size is 64 bytes on 32 bit systems, but
it should be ok to assume that 64-byte alignment behaves well on systems
with smaller cache lines so long as they are powers of two. This does
mean there is some waste on 32-bit systems, but it should be fairly
minimal (32 bytes per memblock, which manages page sized regions).
QF now uses its own configuration file (quakeforge.cfg for now) rather
than overwriting config.cfg so that people trying out QF in their normal
quake installs don't trash their config.cfg for other quake clients. If
quakeforge.cfg is present, all other config files are ignored except
that quake.rc is scanned for a startdemos command and that is executed.
And improve the generated code for MSG_ReadShort
I suspect gcc didn't like all the excess pointer dereferences and so
couldn't assume that the bytes were being read sequentially.
And improve the generated code as well (ie, use a code sequence that gcc
recognizes and optimizes to a single 32-bit read and a byte-swap).
nq uses big-endian for its packet headers (arg, though it is consistent
with IP, it's not with the rest of quake).
I'm not sure that the mismatch between refdef_t and the assembly defines
was a problem (many fields unused), but the main problem was due to
execute permission on the pages: one chunk of asm was in the data
section, and the patched code was not marked as being executable (due to
such a thing not existing when quake was written).
While this caused some trouble for pr_strings and configurable strftime
(evil hacks abound), it's the result of discovering an ancient (from
maybe as early as 2004, definitely before 2012) bug in qwaq's printing
that somehow got past months of trial-by-fire testing (origin understood
thanks to the warning finding it).
Still "some" more to go: a pile to do with transforms and temporary
entities, and a nasty one with host_cbuf. There's also all the static
block-alloc lists :/
Useful for avoiding a pile of wrapper functions that merely pass on
command-specific data to the actual implementation. Used to clean up the
wrappers in nq and qw cl_input.c
This seems to be pretty close to as fast as it gets (might be able to do
better with some shuffles of the negation constants instead of loading
separate constants).
The main purpose is to allow fluent-style:
const char *targetname = PL_String (PL_ObjectForKey (entity, "targetname"));
if (targetname && !PL_ObjectForKey (targets, targetname)) {
PL_D_AddObject (targets, targetname, entity);
}
[note: the above is iffy due to ownership of entity, but the code from
which the above comes works around the issue]
Setting the result type cexpr_exprval tells cexpr to simply return whoe
exprval object rather than the referenced value, thus allowing the
caller to check the type when the expression is context sensitive.
The order in which keys are added to the dictionary object is
maintained. Adding a key after removing an old key adds the new key to
the end of the list rather than reusing the old key's spot.
PL_ParseLabeledArray works the same way as PL_ParseArray, but instead
takes a dictionary object. The keys of the items are ignored, and the
order is not preserved (at this stage), but this is a cleaner solution
to getting an array of objects when the definitions of those objects
need to be accessible by name as well.
This allows plist objects to be accessed directly from cexpr expressions
using struct.field syntax for dictionary objects and array[index] syntax
for array objects.
It now takes a context pointer (opaque data) that holds the buffers it
uses for the temporary strings. If the context pointer is null, a static
context is used (making those uses of va NOT thread-safe). Most calls to
va use the static context, but all such calls have been formatted
consistently so they are easy to find when it comes time to do a full
audit.
The way I wound up using the field meant that exprctx should not "own"
the hashlinks chain, but rather just point to it. This fixes the nasty
access errors I had.
I want to be able to use name references, but that requires string
items, so anything that would normally be dictionary or array (or
binary, even) would also need to accept string. This seemed to be the
cleanest solution. Any custom parser would then need to check the type
and act appropriately, but any inappropriate types have already been
pre-filtered by the standard parsers.
Care needs to be taken to ensure the right function is used with the
right arguments, but with these, the need to use qconj(d|f) for a
one-off inverse rotation is removed.
I forgot to right-shift the value so offsets were becoming 0 or 8
instead of 0-15. This fixes the management of small objects. It turns
out that after this fix, qfvis's problems were caused by fragmentation
in the windings. Need to revisit line allocation and use POT-specialized
pools.
I think the sub-line allocator falling over is the final source of
qfvis's leaks. It certainly causes a mess of the sub-lines. But having
some tests to get working sure beats scratching my head over qfvis :)
They're binned by powers of two (with in between sizes going to the
smaller bin should I make cache-line allocations NPOT (which I think
might be worthwhile). However, there seems to still be a bug somewhere
causing a nasty leak as now my hacked qfvis consumes 40G in less than a
minute.
The idea is to not search through blocks for an available allocation.
While the goal was to speed up allocation of cache lines of varying
cluster sizes, it's not enough due to fragmentation.
They take advantage of gcc's vector_size attribute and so only cross,
dot, qmul, qvmul and qrot (create rotation quaternion from two vectors)
are needed at this stage as basic (per-component) math is supported
natively by gcc.
The provided functions work on horizontal (array-of-structs) data, ie a
vec4d_t or vec4f_t represents a single vector, or traditional vector
layout. Vertical layout (struct-of-arrays) does not need any special
functions as the regular math can be used to operate on four vectors at
a time.
Functions are provided for loading a vec4 from a vec3 (4th element set
to 0) and storing a vec4 into a vec3 (discarding the 4th element).
With this, QF will require AVX2 support (needed for vec4d_t). Without
support for doubles, SSE is possible, but may not be worthwhile for
horizontal data.
Fused-multiply-add is NOT used because it alters the results between
unoptimized and optimized code, resulting in -mfma really meaning
-mfast-math-anyway. I really do not want to have to debug issues that
occur only in optimized code.
The problem is that I needed to support dynamic types on operators (for
bit-field enums), had things working, but a bad edit messed things up
and I had to rebuild that bit of code. Missed one bit :P
It is capable of parsing single expressions with fairly simple
operations. It current supports ints, enums, cvars and (external) data
structs. It is also thread-safe (in theory, needs proper testing) and
the memory it uses can be mass-freed.
This was inspired by
Hoard: A Scalable Memory Allocator
for Multithreaded Applications
Emery D. Berger, Kathryn S. McKinley, Robert D. Blumofe, Paul R.
Wilson,
It's not anywhere near the same implementation, but it did take a few
basic concepts. The idea is twofold:
1) A pool of memory from which blocks can be allocated and then freed
en-mass and is fairly efficient for small (4-16 byte) blocks
2) Tread safety for use with the Vulkan renderer (and any other
multi-threaded tasks).
However, based on the Hoard paper, small allocations are cache-line
aligned. On top of that, larger allocations are page aligned.
I suspect it would help qfvis somewhat if I ever get around to tweaking
qfvis to use cmem.
The calculation fails (produces NaN) if the vectors are anti-parallel,
but works for all other combinations. I came up with this implementation
when I discovered Unity's Quaternion.FromToRotation could did not work
with very small angles. This implementation will produce a usable
quaternion below 0.00255 degrees (though it will be slightly larger than
unit). Unity's failed such that I could see KSP's skybox snap while it
rotated around my test vessel.
The array has to be allocated using byte elements and thus the size of
the array is the number of bytes, but it needs to be the actual number
of elements in the array. Problem caused by not knowing the actual type
(and C not having type variables anyway).
PL_ParseDictionary itself does only one level, but it takes care of the
key-field mappings and property list item type checking leaving the
actual parsing to a helper specified by the field. That helper is free
to call PL_ParseDictionary recursively.
The first line of the parsed item is stored and can be retrieved using
PL_Line. Line numbers not stored for dictionary keys yet. Will be 0 for
any items generated by code rather than parsed from a file or string.
There's still some cleanup to do, but everything seems to be working
nicely: `make -j` works, `make distcheck` passes. There is probably
plenty of bitrot in the package directories (RPM, debian), though.
The vc project files have been removed since those versions are way out
of date and quakeforge is pretty much dependent on gcc now anyway.
Most of the old Makefile.am files are now Makemodule.am. This should
allow for new Makefile.am files that allow local building (to be added
on an as-needed bases). The current remaining Makefile.am files are for
standalone sub-projects.a
The installable bins are currently built in the top-level build
directory. This may change if the clutter gets to be too much.
While this does make a noticeable difference in build times, the main
reason for the switch was to take care of the growing dependency issues:
now it's possible to build tools for code generation (eg, using qfcc and
ruamoko programs for code-gen).
When I ported SEB to python, I discovered that I apparently didn't
really understand the paper's description of the end condition and the
usage of the affine and convex sets for center testing. This cleans up
the test and makes SEB more correct for the cases that have less than 4
supporting points (especially when there are less than 4 points total).
They take a pointer to a free-list used for hashlinks so the hashlink
pools can be per-thread. However, hash tables that are not updated are
always thread-safe, so this affects only updates. progs_t has been set
up such that it is easy for multiple progs within one thread can share
hashlinks.
Other than consistency with printf(), I'm not sure why we went with the
printed size as the return value; returning the resultant strings makes
much more sense as dsprintf() (etc) can then be used as a safe va()
The initial code was pretty much a port of the code in the editor I
wrote 25 years ago. Either I didn't think of the optimization back then,
or I tried to implement it, failed, and figured it wasn't worth it
(despite using it on a 386dx33). However, I noticed it now and it was
easy enough to get working, and it's always good to not do something
that's not needed.
The better accuracy is for specific cases (90 degree rotations around a
main axis: the matrix element for that axis is now 1 instead of
0.99999994). The speedup comes from doing fewer additions (multiply
seems to be faster than add for fp, at least in this situation).
After messing with SIMD stuff for a little, I think I now understand why
the industry went with xyzw instead of the mathematical wxyz. Anyway, this
will make for less pain in the future (assuming I got everything).
While scan-build wasn't what I was looking for, it has proven useful
anyway: many of the sizeof errors were just noise, but a few were actual
bugs (allocating too much or too little memory).
Ionen Wolkens
Bill Currie