How to use valgrind with python?

I found the answer here.

Python also needs to be compiled in debug mode, i.e.

./configure --prefix=/home/dejan/workspace/python --without-pymalloc --with-pydebug --with-valgrind

In addition, numpy has a suppresion file that gets rid of the extra valgrind warnings.

Since python 3.6, there's a PYTHONMALLOC environment variable which is available in release builds, without needing to recompile.

PYTHONMALLOC=malloc python3 foobar.py

This will disable pymalloc and just use the libc malloc directly, making it valgrind-friendly. This is equivalent to --without-pymalloc (and it is just as slow)

If valgrind is too slow, other values can be helpful. PYTHONMALLOC=debug and PYTHONMALLOC=malloc_debug add debug hooks on top of the default and the libc allocators respectively. Their effects, from the docs:

• Newly allocated memory is filled with the byte 0xCB
• Freed memory is filled with the byte 0xDB
• Detect violations of the Python memory allocator API. For example, PyObject_Free() called on a memory block allocated by PyMem_Malloc().
• Detect writes before the start of a buffer (buffer underflows)
• Detect writes after the end of a buffer (buffer overflows)
• Check that the GIL is held when allocator functions of PYMEM_DOMAIN_OBJ (ex: PyObject_Malloc()) and PYMEM_DOMAIN_MEM (ex: PyMem_Malloc()) domains are called.

This will catch some uninitialized reads, some use after free, some buffer under/overflows, etc, but won't report leaks and won't touch memory that isn't allocated through python (When using glibc, the MALLOC_PERTURB_ and MALLOC_CHECK_ environment variables might help there)

See also:

• Details of the available values
• 3.6 release notes with usage notes
• Current location of README.valgrind