Package: pytest-valgrind
Valgrind testing helper for pytestThis is much of a hack, but it can help you test a C extension module with
valgrind. In particular if you are interested in checking for memory leaks.When might I want to use this?:You have a non-trivial C-extention and should really check it with valgrind.You have a non-trivial C-extention module that does memory allocations
and might leak memory.You are interested not only in reference count leaks (for which other tools
are probably be better). Or hope valgrind can give you some information on the leak.You are looking for a simple way to get an overview over which tests cause
errors detected by valgrind.Why not just run the test in valgrind?:Memory leak checking on valgrind is normally done only at exit. This
will run a leak check after every test allowing you to narrow down where
a leak occurs without additional effort.This reports which test fails valgrind and the exact error associated
with it. So it may be a bit more convenientWhy should I not use this?:It is a a hack with you passing in the valgrind log file to pytest
(if you want a helpful error summary).The error reporting probably has some quirks and hides normal errors.You want to inspect the full valgrind information and this way you are
more likely to miss errors that only show up between tests (e.g. module
import/teardown).Testing for memory leaks after every test seems to be a bit flaky and
increadibly slow. Also I do not know the details well enough to be sure that
there are no other issues.How to use the pluginTo use this module, you need to first install it usingpip install .orpip install . --user. It currently only supports Python 3 and requires
a C compiler as well as typical valgrind installation (valgrind/valgrind.h).To then use it, use a normal pytest invocation giving the--valgrindoption,
however, you also need to run everything in valgrind itself.The easiest way to do this is (requires python 3.6 I believe) is the sample
invocation below (or similar pytest command). There is an example test in theexamplesubfolder, which includes a similar invocation as documentation:PYTHONMALLOC=malloc valgrind --show-leak-kinds=definite --log-file=/tmp/valgrind-output \
    python -m pytest -vv --valgrind --valgrind-log=/tmp/valgrind-outputNote that thePYTHONMALLOC=malloccommand is crucial (and only works on newer
python versions). Alternatively, a python debug build with the--valgrindoption can be used. If neither is used, the output will be useless due to
false positives by python (suppression could be added, but are less reliable).It is the responsibility of the caller to pass the correct valgrind arguments.
you must pass--show-leak-kinds=definiteand should use--log-fileas above!You should provide a log file in this invocation and pass it into pytest. Otherwisepytest-valgrindwill not be able to provide a nice error report. Any normal failures
will be skipped. For example in numpy, typically the floating point errors
fail to report, which causes test failures.The first version effectively ignored the--errors-for-leak-kindsvalgrind
option. In the current version--errors-for-leak-kinds=definitewill work
(and ignore "indirect" leaks).Any valgrind error or memory leak occuringduringthe test will lead to the
test being recorded asFAILURE. You will have to search the valgrind log
file for the specific error.As a further example, one may run an individual NumPy test file with the following
commend (some of these options are not necessary):PYTHONMALLOC=malloc valgrind --show-leak-kinds=definite --log-file=/tmp/valgrind-output python runtests.py -g -t numpy/core/tests/test_dtype.py -- -vv --valgrind --valgrind-log=/tmp/valgrind-output --continue-on-collection-errorsOptions--valgrindenables the plugin.--valgrind-log=<log_file>Should be given. This is the same file passed to
valgrind as--log-file=<log_file>. If not given, the error reports do not
include any valgrind output.--no-memcheckwill disable checking for memory leaks after every function
call (or actually at all). If you are sure there are no leaks, this might
speed up execution.--memcheck-before-funcwill run a memory check before each test call. This
should not be necessary, so maybe should be removed again.Reported failures and marking testsThis plugin ignores all normal exceptions and replaces them withKNOWNFAIL/xfailright now. It will report failures only for errors/leaks reported by valgrind.
It seems that known failures that produce valgrind errors are also reported as known failure.You can mark tests withpytest.mark.valgrind_known_leak(reason="?!")orpytest.mark.valgrind_known_error(reason="Oooops")(or both) to make the test result
anxfailspecifically for this plugin and specific to either leaks or other errors
reported by valgrind.Not all errors are necessarily due to your own code, sometimes false positives can be reported
from known good functions. For examplestrcmpcan do this if the valgrind suppressions are not
up to date. Such failures should be fixed with a valgrind suppression file and not using
pytest markers.Notes, Caveats, and SolutionsPlease check the valgrind documentation if you wish to modify your output.
Valgrind starts hiding duplicate errors, so if is highlighted as an error
but there is no error in the valgrind output, it might be that the error
is a repetition of a previous one and thus hidden.Furter notes:If valgrind has bad interaction causing errors during test gathering
this may hang pytest. In that case, you may use--continue-on-collection-errorsas a quick workaround.CPython always causes "possible" leaks to implement the garbage
collector/circular reference counting.
Due to this, we perform a sanity check: ifobj = object()reports a "leak" valgrinds--errors-for-leak-kindsis ignored (the
default includes "possible").--errors-for-leak-kinds=definitewill
not be ignored, and possibly there are other ways to make the above
check pass.Testing leaks this often slows down testing even more compared to a
simple run with valgrind.It does not seem too elegant, since a valgrind output file is passed
to the pytest as an argument (I doubt there is a solution for this).If you do not have useful function names in your output maybe you did
not build a debug build?Valgrind has lots of options, please check them!No, I did not check this on different systems/compilers. So if it
breaks, you may have to modify the code or setup.py.By default checks for leaks once before the first test and once after
every test. This means:Leaks occuring before any test is run are not reported!Leaks should not really occur between tests, but if they do they
are reported for the next test.If your program has caches (e.g. numpy has a small array cache) this might
cause leaks to behave non-deterministic, or the object that is being leaked
not correspond to the actual leaked object (since the allocation occured
originally for another object).The tool runs the garbage collector repeatedly after every single test,
this may be very slow.I do not know pytest plugins well (and the documentation is not super
easy at the time), so a lot of how the pytest things are done can and
should probably be much done better.I do not like this or have a better version!Sure, feel free to create pull requests, if you have something better I will
be happy to remove/rename this.