Found a bug in our toml parser that's difficult to work around:
defines.GC_FLAGS = """ => {
LFS_GC_MKCONSISTENT "GC_FLAGS": "blablabla",
| LFS_GC_LOOKAHEAD } // where did defines go?
"""
This appears to be this bug:
https://github.com/uiri/toml/issues/286
But since it was opened 4 years ago, I think it's safe to say this toml
library is now defunct...
---
Apparently tomllib/tomli is the new hotness, which started as tomli
before being adopt in Python 3.11 as tomllib. Fortunately tomli is still
maintained so we don't have to worry about Python versions too much.
Adopting tomli was relatively straightforward, the only hiccup being
that it doesn't support text files? Curious, but fortunately Python
exposes the underlying binary file handle in f.buffer.
Unfortunately the import sys in the argparse block was hiding missing
sys imports.
The mistake was assuming the import sys in Python would limit the scope
to that if block, but Python's late binding strikes again...
Moved local import hack behind if __name__ == "__main__"
These scripts aren't really intended to be used as python libraries.
Still, it's useful to import them for debugging and to get access to
their juicy internals.
It looks like the failure case in our scripts' subprocess stderr
handling was not tested well during a fix to stderr blocking (a735bcd).
This code was attempting to print stderr only if an error occured, but
with stderr=None this just results in a NoneType TypeError.
In retrospect, completely hiding stderr is kind of shitty if a
subprocess fails, but it doesn't seem possible to read from both stdin
and stderr with Python's APIs without getting stuck when the stderr's
buffer is full.
It might be possible to work around this with either multithreading,
select calls, or a temp file, but I'm not sure slightly less verbose
scripts are worth the added complexity in every single subprocess call.
For now just reverting to unconditionally forwarding stderr from the
child process. This is the simplest/most robust option.
This will probably only have niche uses, but may be useful for small
test sets or for running specific tests with -O-.
Though it is a bit funny that -q -O- turns test.py/bench.py into more or
less just a complicated way to run a C program.
A couple problems:
1. We should probably also support negative ranges, but this is a bit
annoying since we can't tell if the range is negative or positive
until expr evaluation.
2. Evaluating the range exprs at compile-time is inconsistent from other
C exprs in our tests/benches (normal defines, if filters, etc), and
severely limiting since we can't use other defines before the define
system is initialized.
2. Attempting to move these range exprs into their own lazily evaluated
functions does not seem tractable...
We'd need to evaluate defines to know how many permutations there
are, but how can we evaluate defines before knowing which permutation
we're on?
I think this circular dependency would make the permutation count
undecidable?
Even if we could move these exprs to their own lazily evaluated
functions (which would solve the inconsistency issue), the complexity
risks outweighing the benefit. Keep in mind it's useful if external
tools can parse our tests. So reverting for now.
Though I am keeping some of the refactoring in test.py/bench.py. Having
a special DRange type is useful if we ever want to add more define
functions in the future.
This enables full C exprs in test/bench define ranges by simply passing
them on to the C compiler.
So this:
defines.N = 'range(1,20+1)'
Becomes this, in N's define function:
if (i < 0 + ((((20+1)-1-(1))/(1) + 1))) return ((i-(0))*(1) + (1));
Which is a bit of a mess, but generates the correct range at runtime.
This allows for much more flexible exprs in range defines without
needing a full expr parser in Python.
Note though that we need to evaluate the range length at compile time.
This is notably before the test/bench define system is initialized, so
all three range args (start, stop, step) are limited to really only
simple C literals and exprs.
This was the one piece needed to be able to replace amor.py with csv.py.
The missing feature in csv.py is the ability to keep track of a
running-sum, but this is a bit of a hack in amor.py considering we
otherwise view csv entries as unordered.
We could add a running-sum to csv.py, or instead, just include a running
sum as a part of our bench output. We have all the information there
anyways, and if it simplifies the mess that is our csv scripts, that's a
win.
---
This also replaces the bench "meas", "iter", and "size" fields with the
slightly simpler "m" (measurement? metric?) and "n" fields. It's up to
the specific benchmark exactly how to interpret "n", but one field is
sufficient for existing scripts.
This seems like a more fitting name now that this script has evolved
into more of a general purpose high-level CSV tool.
Unfortunately this does conflict with the standard csv module in Python,
breaking every script that imports csv (which is most of them).
Fortunately, Python is flexible enough to let us remove the current
directory before imports with a bit of an ugly hack:
# prevent local imports
__import__('sys').path.pop(0)
These scripts are intended to be standalone anyways, so this is probably
a good pattern to adopt.
A typo meant we were setting all case-level flags to suite-level flags
in bench.py. And because suite-level flags are more-or-less just ored
case-level flags, all case-level flags would end up shared.
Fixed via untypo.
This matches the style used in C, which is good for consistency:
a_really_long_function_name(
double_indent_after_first_newline(
single_indent_nested_newlines))
We were already doing this for multiline control-flow statements, simply
because I'm not sure how else you could indent this without making
things really confusing:
if a_really_long_function_name(
double_indent_after_first_newline(
single_indent_nested_newlines)):
do_the_thing()
This was the only real difference style-wise between the Python code and
C code, so now both should be following roughly the same style (80 cols,
double-indent multiline exprs, prefix multiline binary ops, etc).
Mainly to avoid conflicts with match results m, this frees up the single
letter variables m for other purposes.
Choosing a two letter alias was surprisingly difficult, but mt is nice
in that it somewhat matches it (for itertools) and ft (for functools).
This moves all ckread-related logic behind the new opt-in compile-time
LFS_CKREADS flag. So in order to use ckreads you need to 1. define
LFS_CKREADS at compile time, and 2. pass LFS_M_CKREADS during
lfsr_mount.
This was always the plan since, even if ckreads worked perfectly, it
adds a significant amount of baggage (stack mostly) to track the
ck context of all reads.
---
This is the first non-trivial opt-in define in littlefs, so more test
framework features!
test.py and build.py now support the optional ifdef attribute, which
makes it easy to indicate a test suite/case should not be compiled when
a feature is missing.
Also interesting to note is the addition of LFS_IFDEF_CKREADS, which
solves several issues (and general ugliness) related to #ifdefs in
expression. For example:
// does not compile :( (can't embed ifdefs in macros)
LFS_ASSERT(flags == (
LFS_M_CKPROGS
#ifdef LFS_CKREADS
| LFS_M_CKREADS
#endif
))
// does compile :)
LFS_ASSERT(flags == (
LFS_M_CKPROGS
| LFS_IFDEF_CKREADS(LFS_M_CKREADS, 0)));
---
This brings us way back down to our pre-ckread levels of code/stack:
code stack
before-ckreads: 36352 2672
ckreads: 38060 (+4.7%) 3056 (+14.4%)
after-ckreads: 36428 (+0.2%) 2680 (+0.3%)
Unfortunately, we do end up with a bit more code cost than where we
started. Mainly due to code moving around to support the ckread
infrastructure:
code stack
lfsr_bd_readtag: +52 (+23.2%) +8 (+10.0%)
lfsr_rbyd_fetch: +36 (+5.0%) +8 (+6.2%, cold)
lfs_toleb128: -12 (-25.0%) -4 (-20.0%, cold)
total: +76 (+0.2%) +8 (+0.3%)
But oh well. Note that some of these changes are good even without
ckreads, such as only parsing the last ecksum tag.
code.py, specifically, was getting messed up by inconsequential GCC
objdump errors on Clang -g3 generated binaries.
Now stderr from child processes is just redirected to /dev/null when
-v/--verbose is not provided.
If we actually depended on redirecting stderr->stdout these scripts
would have been broken when -v/--verbose was provided anyways. Not
really sure what the original code was trying to do...
The original idea was to allow merging a whole bunch of different csv
results into a single lfs.csv file, but this never really happened. It's
much easier to operate on smaller context-specific csv files, where the
field prefix:
- Doesn't really add much information
- Requires more typing
- Is confusing in how it doesn't match the table field names.
We can always use summary.py -fcode_size=size to add prefixes when
necessary anyways.
Before, globs that match both the suite name and case name would cause
end up running the case twice. Which is a bit of a problem, since all
cases contain their suite name as a prefix...
test_f* => run test_files
|-> run test_files_hello
|-> run test_files_trunc
...
run test_files_hello
run test_files_trunc
...
Now we only run matching test cases if no suites were found.
This has the side-effect of making the universal glob, "*", equivalent
to no test ids, which is nice:
$ ./scripts/test.py -j -b '*' # equivalent
$ ./scripts/test.py -j -b #
This is useful for running a specific problematic test first before
running the all of the tests:
$ ./scripts/test.py -j -b test_files_trunc '*'
These really shouldn't be used all that often. Test filters are usually
used to protect against invalid test configurations, so if you bypass
test filters, expect things to fail!
But some filters just prevent test cases from taking too long. In these
cases being able to manually bypass the filter is useful for debugging/
benchmarking/etc...
There was no check on context > stdout, so requesting more context than
was actually printed by the test could result in a negative value.
Python "helpfully" interpreted this as a negative index, resulting in
somewhat random context lengths.
This, combined with my tendency to just default to a large number like
--context=100, led to me thinking a test was printing much less than it
actually was...
Don't get me wrong, I love Python, and I think Python's negative indices
are a clever way to add flexibility to slice notation, but the
value-dependent semantics are a pretty unfortunate footgun...
While the -f/--fail logic was correctly terminating the test.py/bench.py
runner thread, it was not terminating the actual underlying test
process. This was causing test.py/bench.py to hang until the test runner
completed all pending tests, which could take quite some time.
This wasn't noticed earlier because test.py/bench.py still reports the
test as failed, and most uses of -f/--fail involve specifying a specific
test case, which usually terminates quite quickly.
What's more interesting is this termination logic was copied from the
handling of ctrl-C/SIGINT/KeyboardInterrupt, but this issue is not
present there because SIGINT would be sent to all processes in the
process tree, terminating the child process anyways.
Fixed by adding an explicit proc.kill() to test.py/bench.py before
tearing down the runner thread.
This is a condition for specifically the -O- pattern. Doing anything
fancier would be too much, so anything clever such as -O/dev/stdout
will still be clobbered.
This was a common enough pattern and the status updates clobbering
stdout was annoying enough that I figured this warranted a special case.
This just tells test.py/bench.py to pretend the test failed and trigger
any conditional utilities. This can be combined with --gdb to easily
inspect a test that isn't actually failing.
Up until this point I've just been inserting assert(false) when needed,
which is clunky.
The main star of the show is the adoption of __builtin_trap() for
aborting on assert failure. I discovered this GCC/Clang extension
recently and it integrates much, _much_ better with GDB.
With stdlib's abort(), GDB drops you off in several layers of internal
stdlib functions, which is a pain to navigate out of to get to where the
assert actually happened. With __builtin_trap(), GDB stops immediately,
making debugging quick and easy.
This is great! The pain of debugging needs to come from understanding
the error, not just getting to it.
---
Also tweaked a few things with the internal print functions to make
reading the generated source easier, though I realize this is a rare
thing to do.
These just take normal paths now, we weren't even using the magic
test/bench suite finding logic since it's easier to just pass everything
explicitly in our Makefile.
The original test/bench suite finding logic was a bad idea anyways. This
is what globs are for, and having custom path chasing logic is
inconsistent and risks confusion.
Motivation:
- Debuggability. Accessing the current test/bench defines from inside
gdb was basically impossible for some dumb macro-debug-info reason I
can't figure out.
In theory, GCC provides a .debug_macro section when compiled with -g3.
I can see this section with objdump --dwarf=macro, but somehow gdb
can't seem to find any definitions? I'm guess the #line source
remapping is causing things to break somehow...
Though even if macro-debugging gets fixed, which would be valuable,
accessing defines in the current test/bench runner can trigger quite
a bit of hidden machinery. This risks side-effects, which is never
great when debugging.
All of this is quite annoying because the test/bench defines is
usually the most important piece of information when debugging!
This replaces the previous hidden define machinery with simple global
variables, which gdb can access no problem.
- Also when debugging we no longer awkwardly step into the test_define
function all the time!
- In theory, global variables, being a simple memory access, should be
quite a bit faster than the hidden define machinery. This does matter
because running tests _is_ a dev bottleneck.
In practice though, any performance benefit is below the noise floor,
which isn't too surprising (~630s +-~20s).
- Using global variables for defines simplifies the test/bench runner
quite a bit.
Though some of the previous complexity was due to a whole internal
define caching system, which was supposed to lazily evaluate test
defines to avoid evaluating defines we don't use. This all proved to
be useless because the first thing we do when running each test is
evaluate all defines to generate the test id (lol).
So now, instead of lazily evaluating and caching defines, we just
generate global variables during compilation and evaluate all defines
for each test permutation immediately before running.
This relies heavily on __attribute__((weak)) symbols, and lets the
linker really shine.
As a funny perk this also effectively interns all test/bench defines by
the address of the resulting global variable. So we don't even need to
do string comparisons when mapping suite-level defines to the
runner-level defines.
---
Perhaps the more interesting thing to note, is the change in strategy in
how we actually evaluate the test defines.
This ends up being a surprisingly tricky problem, due to the potential
of mutual recursion between our defines.
Previously, because our define machinery was lazy, we could just
evaluate each define on demand. If a define required another define, it
would lazily trigger another evaluation, implicitly recursing through
C's stack. If cyclic, this would eventually lead to a stack overflow,
but that's ok because it's a user error to let this happen.
The "correct" way, at least in terms of being computationally optimal,
would be to topologically sort the defines and evaluate the resulting
tree from the leaves up.
But I ain't got time for that, so the solution here is equal parts
hacky, simple, and effective.
Basically, we just evaluate the defines repeatedly until they stop
changing:
- Initially, mutually recursive defines may read the uninitialized
values of their dependencies, and end up with some arbitrarily wrong
result. But as the defines are repeatedly evaluated, assuming no
cycles, the correct results should eventually bubble up the tree until
all defines converge to the correct value.
- This is O(n*e) vs O(n+e), but our define graph is usually quite
shallow.
- To prevent non-halting, we error after an arbitrary 1000 iterations.
If you hit this, it's likely because there is a cycle in the define
graph.
This is runtime configurable via the new --define-depth flag.
- To keep things consistent and reproducible, we zero initialize all
defines before the first evaluation.
I don't think this is strictly necessary, but it's important for the
test runner to have the exact same results on every run. No one wants
a "works on my machine" situation when the tests are involved.
Experimentation shows we only need an evaluation depth of 2 to
successfully evaluate the current set of defines:
$ ./runners/test_runner --list-defines --define-depth=2
And any performance impact is negligible (~630s +-~20s).
Note sure why we weren't hitting this earlier, but I've been hitting
this race condition a bunch recently and it's annoying.
Now every failed process kills the other test processes unconditionally.
It's not clear if this actually _fixes_ the race condition or just makes
it less likely, but it's good enough to keep the test script user
friendly.
This turned out to not be all that useful.
Tests already take quite a bit to run, which is a good thing! We have a
lot of tests! 942.68s or ~15 minutes of tests at the time of writing to
be exact. But simply multiplying the number of tests by some number of
geometries is heavy handed and not a great use of testing time.
Instead, tests where different geometries are relevant can parameterize
READ_SIZE/PROG_SIZE/BLOCK_SIZE at the suite level where needed. The
geometry system was just another define parameterization layer anyways.
Testing different geometries can still be done in CI by overriding the
relevant defines anyways, and it _might_ be interesting there.
The -k/--keep-going option has been more or less useless before this
since it would completely flood the screen/logs when a bug triggers
multiple test failures, which is common.
Some things to note:
- RAM management is tricky with -k/--keep-going, if we try to save logs
and filter after running everything we quickly fill up memory.
- Failing test cases are a much slower path than successes since we need
to kill and restart the underlying test_runner, its state can't be
trusted anymore. This is a-ok since hopefully you usually hope for
many more successes than failures. Unfortunately it can make
-k/--keep-going quite slow.
---
ALSO -- warning this is a tangent rant-into-the-void -- I have
discovered that Ubuntu has a "helpful" subsystem named Apport that tries
to record/log/report any process crash in the system. It is "disabled" by
default, but the way it's disabled requires LAUNCHING A PYTHON
INTERPRETER to check a flag on every segfault/assert failure.
This is what it does when it's "disabled"!
This subsystem is fundamentally incompatible with any program that
intentionally crashes subprocesses, such as our test runner. The sheer
amount of python interpreters being launched quickly eats through all
available RAM and starts OOM killing half the processes on the system.
If anyone else runs into this, a shallow bit of googling suggests the
best solution is to just disable Apport. It is not a developer friendly
subsystem:
$ sudo systemctl disable apport.service
Removing Apport brings RAM usage back down to a constant level, even
with absurd numbers of test failures. And here I thought I had memory
leak somewhere.
1. Being able to inspect results before benchmarks complete was useful
to track their status. It also allows some analysis even if a
benchmark fails.
2. Moving these scripts out of bench.py allows them to be a bit more
flexible, at the cost of CSV parsing/structuring overhead.
3. Writing benchmark measurements immediately avoids RAM buildup as we
store intermediate measurements for each bench permutation. This may
increase the IO bottleneck, but we end up writing the same number of
lines, so not sure...
I realize avg.py has quite a bit of overlap with summary.py, but I don't
want to entangle them further. summary.py is already trying to do too
much as is...
This is mainly to allow bench_runner to at least compile after moving
benches out of tree.
Also cleaned up lingering runner/suite munging leftover from the change
to an optional -R/--runner parameter.
This is based on how bench.py/bench_runners have actually been used in
practice. The main changes have been to make the output of bench.py more
readibly consumable by plot.py/plotmpl.py without needing a bunch of
hacky intermediary scripts.
Now instead of a single per-bench BENCH_START/BENCH_STOP, benches can
have multiple named BENCH_START/BENCH_STOP invocations to measure
multiple things in one run:
BENCH_START("fetch", i, STEP);
lfsr_rbyd_fetch(&lfs, &rbyd_, rbyd.block, CFG->block_size) => 0;
BENCH_STOP("fetch");
Benches can also now report explicit results, for non-io measurements:
BENCH_RESULT("usage", i, STEP, rbyd.eoff);
The extra iter/size parameters to BENCH_START/BENCH_RESULT also allow
some extra information to be calculated post-bench. This infomation gets
tagged with an extra bench_agg field to help organize results in
plot.py/plotmpl.py:
- bench_meas=<meas>+amor, bench_agg=raw - amortized results
- bench_meas=<meas>+div, bench_agg=raw - per-byte results
- bench_meas=<meas>+avg, bench_agg=avg - average over BENCH_SEED
- bench_meas=<meas>+min, bench_agg=min - minimum over BENCH_SEED
- bench_meas=<meas>+max, bench_agg=max - maximum over BENCH_SEED
---
Also removed all bench.tomls for now. This may seem counterproductive in
a commit to improve benchmarking, but I'm not sure there's actual value
to keeping bench cases committed in tree.
These were alway quick to fall out of date (at the time of this commit
most of the low-level bench.tomls, rbyd, btree, etc, no longer
compiled), and most benchmarks were one-off collections of scripts/data
with results too large/cumbersome to commit and keep updated in tree.
I think the better way to approach benchmarking is a seperate repo
(multiple repos?) with all related scripts/state/code and results
committed into a hopefully reproducible snapshot. Keeping the
bench.tomls in that repo makes more sense in this model.
There may be some value to having benchmarks in CI in the future, but
for that to make sense they would need to actually fail on performance
regression. How to do that isn't so clear. Anyways we can always address
this in the future rather than now.
Ended up changing the name of lfsr_mtree_traversal_t -> lfsr_traversal_t,
since this behaves more like a filesytem-wide traversal than an mtree
traversal (it returns several typed objects, not mdirs like the other
mtree functions for one).
As a part of this changeset, lfsr_btraversal_t (was lfsr_btree_traversal_t)
and lfsr_traversal_t no longer return untyped lfsr_data_ts, but instead
return specialized lfsr_{b,t}info_t structs. We weren't even using
lfsr_data_t for its original purpose in lfsr_traversal_t.
Also changed lfsr_traversal_next -> lfsr_traversal_read, you may notice
at this point the changes are intended to make lfsr_traversal_t look
more like lfsr_dir_t for consistency.
---
Internally lfsr_traversal_t now uses a full state machine with its own
enum due to the complexity of traversing the filesystem incrementally.
Because creating diagrams is fun, here's the current full state machine,
though note it will need to be extended for any
parity-trees/free-trees/etc:
mrootanchor
|
v
mrootchain
.-' |
| v
| mtree ---> openedblock
'-. | ^ | ^
v v | v |
mdirblock openedbtree
| ^
v |
mdirbtree
I'm not sure I'm happy with the current implementation, and eventually
it will need to be able to handle in-place repairs to the blocks it
sees, so this whole thing may need a rewrite.
But in the meantime, this passes the new clobber tests in test_alloc, so
it should be enough to prove the file implementation works. (which is
definitely is not fully tested yet, and some bugs had to be fixed for
the new tests in test_alloc to pass).
---
Speaking of test_alloc.
The inherent cyclic dependency between files/dirs/alloc makes it a bit
hard to know what order to test these bits of functionality in.
Originally I was testing alloc first, because it seems you need to be
confident in your block allocator before you can start testing
higher-level data structures.
But I've gone ahead and reversed this order, testing alloc after
files/dirs. This is because of an interesting observation that if alloc
is broken, you can always increase the test device's size to some absurd
number (-DDISK_SIZE=16777216, for example) to kick the can down the
road.
Testing in this order allows alloc to use more high-level APIs and
focus on corner cases where the allocator's behavior requires subtlety
to be correct (e.g. ENOSPC).
So now instead of needing:
./scripts/test.py ./runners/test_runner test_dtree
You can just do:
./scripts/test.py test_dtree
Or with an explicit path:
./scripts/test.py -R./runners/test_runner test_dtree
This makes it easier to run the script manually. And, while there may be
some hiccups with the implicit relative path, I think in general this will
make the test/bench scripts easier to use.
There was already an implicit runner path, though only if the test suite
was completely omitted. I'm not sure that would ever have actually
been useful...
---
Also increased the permutation field size in --list-*, since I noticed it
was overflowing.
Test suites already had the ability to provide suite-level code via the
"code" attribute, but this was placed in the suite's generated source
file, making it inaccessbile to internal tests.
This change allows suite code to be placed in the same place as internal
tests, via the "in" attribute, though this has some caveats:
1. Suite-level code generally declares helper functions in global scope.
We don't parse this code or anything, so name collisions between
helper functions across different test suites is up to the developer
to resolve.
2. Internal suite-level code has access to internal functions/variables/
etc, this means we can't place a copy in our suite's generate source
and expect it to compile. For this reason, internal suite-level code
is unavailable for non-internal tests in the suite.
This also means you only get to place internal suite-level code in a
single source file. Though this is not really an issue since littlefs
is basically a single file...
The previous system of relying on test name prefixes for ordering was
simple, but organizing tests by dependencies and topologically sorting
during compilation is 1. more flexible and 2. simplifies test names,
which get typed a lot.
Note these are not "hard" dependencies, each test suite should work fine
in isolation. These "after" dependencies just hint an ordering when all
tests are ran.
As such, it's worth noting the tests should NOT error of a dependency is
missing. This unfortunately makes it a bit hard to catch typos, but
allows faster compilation of a subset of tests.
---
To make this work the way tests are linked has changed from using custom
linker section (fun linker magic!) to a weakly linked array appended to
every source file (also fun linker magic!).
At least with this method test.py has strict control over the test
ordering, and doesn't depend on 1. the order in which the linker merges
sections, and 2. the order tests are passed to test.py. I didn't realize
the previous system was so fragile.
Instead of iterating over a number of seeds in the test itself, the
seeds are now permuted as a part of normal test defines.
This lets each seed take advantage of other test features, mainly the
ability to test powerlosses heuristically.
This is probably how it should have been done in the first place, but
the permutation tests can't do this since the number of permutations
changes as the size of the test input changes. The test define system
can't handle that very well.
The tradeoffs here are:
- We can't do cross-fuzz checks, such as the balance checks in the rbyd
tests, though those really should be moved to benchmarks anyways.
- The large number of cheap fuzz permutations skews the total
permutation count, though I'm not sure this matters.
before: 3083 permutations (-Gnor)
after: 409893 permutations (-Gnor)
Any conditions in both the suites and cases are anded together to
determine when the test/bench should run.
Accepting a list here makes it easier to compose multiple conditions,
since toml-level elements are a bit easier to modify than strings of
C expressions.
This marks internal tests/benches (case.in="lfs.c") with an otherwise-unused
flag that is printed during --summary/--list-*. This just helps identify which
tests/benches are internal.
Previously no matches would noop, which, while consistent with an empty
test suite that contains no tests but shouldn't really error, this made
it easy to miss when a typo would cause tests to be missed.
Also added a bit of color to script-level errors in test/bench.py
This reworks test.py/bench.py a bit to map arguments to ids as a first
step instead of defering as much as possible. This is a better design
and avoids the hackiness around -b/-B. As a plus, test_id globbing is
easy to add.
I wondered if walking in Python 2's footsteps was going to run into the
same issues and sure enough, memory backed iterators became unweildy.
The motivation for this change is that large ranges in tests, such as
iterators over seeds or permutations, became prohibitively expensive to
compile. This meant more iteration moving into tests with more steps to
reproduce failures. This sort of defeats the purpuse of the test
framework.
The solution here is to move test permutation generation out of test.py
and into the test runner itself. The allows defines to generate their
values programmatically.
This does conflict with the test frameworks support of sets of explicit
permutations, but this is fixed by also moving these "permutation sets"
down into the test runner.
I guess it turns out the closer your representation matches your
implementation the better everythign works.
Additionally the define caching layer got a bit of tweaking. We can't
precalculate the defines because of mutual recursion, but we can
precalculate which define/permutation each define id maps to. This is
necessary as otherwise figuring out each define's define-specific
permutation would be prohibitively expensive.
- Added both uattr (limited to 256) and id (limited to 65535) benchmarks
covering the main rbyd operations
- Fixed issue where --defines gets passed to the test/bench runners when
querying id-specific information. After changing the test/bench
runners to prioritize explicit defines, this causes problems for
recorded benchmark results and debug related things.
- In plot.py/plotmpl.py, made --by/-x/-y in subplots behave somewhat
reasonably, contributing to a global dataset and the figure's legend,
colors, etc, but only shown in the specified subplot. This is useful
mainly for showing different -y values on different subplots.
- In plot.py/plotmpl.py, added --labels to allow explicit configuration
of legend labels, much like --colors/--formats/--chars/etc. This
removes one of the main annoying needs for modifying benchmark results.
- Added support for negative numbers in the leb16 encoding with an
optional 'w' prefix.
- Changed prettyasserts.py rule to .a.c => .c, allowing other .a.c files
in the future.
- Updated .gitignore with missing generated files (tags, .csv).
- Removed suite-namespacing of test symbols, these are no longer needed.
- Changed test define overrides to have higher priority than explicit
defines encoded in test ids. So:
./runners/bench_runner bench_dir_open:0f1g12gg2b8c8dgg4e0 -DREAD_SIZE=16
Behaves as expected.
Otherwise it's not easy to experiment with known failing test cases.
- Fixed issue where the -b flag ignored explicit test/bench ids.
