The PyThread_start_new_thread function takes a void (*)(void *) as the function argument, which does not match with the pthread_create callback which has type void *(*)(void *).  I've got a fix for this that adds a wrapper function of the right type that subsequently calls the function passed to PyThread_start_new_thread.

PR coming up.

Can't we just fix the cast? We shouldn't have to do heap allocations for this.

gcc8.1 throws this warning irrespective of the cast since converting function pointers may result in undefined behaviour unless it is cast back to its original type.

In this case, we know the behaviour is okay and the warning is wrong. We should suppress the warning around the offending line, rather than adding significant code that may introduce genuine bugs.

Actually it is not; the parameter passed to Pythread_start_new_thread has a different type (void (*)(void *)) from what's accepted (and executed by) pthread_create (void *(*)(void *)).  That is undefined behaviour.

Ah okay, fair enough. Knowing that, I'll take another look at the PR. I'd really like to simplify this as much as possible to avoid risk of regression.

> gcc8.1 throws this warning irrespective of the cast since converting function pointers may result in undefined behaviour unless it is cast back to its original type.

Do you have a reference explaining this issue? I dislike adding a memory allocation to call a function just to fix a compiler warning. From my point of view, at the end, the function pointer is just an integer. I don't understand how an additional memory allocation solves the issue.

"Fix function cast warning in thread_pthread.h"

Can you please paste the warning?

func_cast.c: C program reproducing the issue. Using an additional (void*) cast, it's possible to workaround the cast warning.

/* Test GCC 8.1 -Wcast-function-type for https://bugs.python.org/issue33015
 *
 * Compiled on Linux with:
 * gcc x.c -o x -Wall -Wextra -lpthread
 *
 * Workaround the cast:
 * gcc x.c -o x -Wall -Wextra -lpthread -D UGLY_CAST
 */


/* No result value */
typedef void (*python_callback) (void *);

/* Result type: "void*" (untyped pointer) */
typedef void* (*pthread_callback) (void *);

int test_cast(python_callback func)
{
    ...
#ifdef UGLY_CAST
    pthread_callback func2 = (pthread_callback)(void *)func;
#else
    pthread_callback func2 = (pthread_callback)func;
#endif
    ...
}

The GCC warning is:

func_cast.c:34:30: warning: cast between incompatible function types from 'python_callback' {aka 'void (*)(void *)'} to 'void * (*)(void *)' [-Wcast-function-type]
     pthread_callback func2 = (pthread_callback)func;
                              ^

I wrote a different fix for the compiler warning using a temporary cast to "void*": PR 10057.

Right, so one PR is a real fix, the other PR is a workaround (avoids the warning without fixing the underlying problem).

The underlying problem is: if a platform has incompatible ABIs for the two function types, casting one function type to another may produce bugs (memory corruptions, crashes, etc).  We can however decide to consider those platforms unlikely, as the current code has been working for years or decades.

It would be nice to have an opinion from C specialists.

Unfortunately, this isn't really a safe cast, as we're going from void to non-void return value.

On x86 with current calling conventions, this is okay, since the return value is in a register that does not change or require cleanup by the caller. However, I wouldn't want to assume that all future calling conventions on other architectures would also permit this - returning a pointer value on the stack or in some way that requires cleanup is entirely possible, and is the sort of problem that would likely only be detectable by this warning or very careful memory measurements (or possibly a very confusing crash due to invalid stack modifications). 

It's also possible that returning an invalid pointer could cause a compiler to one day invoke its undefined behavior clause. Even though *we* don't use the return value, it still gets returned somewhere.

I'm not thrilled about the memory allocation here either, but there isn't really much of an option in my opinion.

Such casts will also trigger a CFI violation if somebody tries to build Python (and the libc, in this case) with a signature-based CFI [1, 2]. It checks that the compile-time callee signature matches the signature of the actually called function in runtime. 

[1] https://clang.llvm.org/docs/ControlFlowIntegrity.html
[2] https://android-developers.googleblog.com/2018/10/control-flow-integrity-in-android-kernel.html

I left comments on the github PRs with reasons why, but PR 6008 seems correct.  PR 10057 would leave us with undefined behavior.

This is presumably also present in 3.6 and 2.7 so I've tagged those on the issue, but for this kind of change i'd leave it up to release managers to see if they want to backport something of this nature that late in those release cycles.

Observable side effect: It adds a small memory allocation & free around every thread creation and an additional small C stack frame.  I do not expect that to be observable performance wise given CPython threading not being a high performer thanks to the GIL anyways.

Shall we introduce a new thread-starting API that takes a function with the "correct" pthread signature? It seems like Windows already allocates.

> Shall we introduce a new thread-starting API that takes a function with the "correct" pthread signature?

Do we need it? I don't think saving a single memory allocation is worth the bother.

"Shall we introduce a new thread-starting API that takes a function with the "correct" pthread signature?"

Extract of my PR:

"Python uses pthread_detach() and doesn't use pthread_join(), the thread return value is ignored."

Python doesn't give access to the return value.

I closed my PR 10057: "Control Flow Integrity killed my PR :-)
https://bugs.python.org/issue33015#msg328325 "

New changeset 9eea6eaf23067880f4af3a130e3f67c9812e2f30 by Victor Stinner (Siddhesh Poyarekar) in branch 'master':
bpo-33015: Fix UB in pthread PyThread_start_new_thread (GH-6008)
https://github.com/python/cpython/commit/9eea6eaf23067880f4af3a130e3f67c9812e2f30

New changeset b1355352d14a0a67107aba7ec6f233336f17716a by Miss Islington (bot) in branch '3.7':
bpo-33015: Fix UB in pthread PyThread_start_new_thread (GH-6008)
https://github.com/python/cpython/commit/b1355352d14a0a67107aba7ec6f233336f17716a

New changeset 8f83c2fb19c45350c2161d9e75dab4cd2bcaee28 by Victor Stinner in branch '2.7':
bpo-33015: Fix UB in pthread PyThread_start_new_thread (GH-6008) (GH-10823)
https://github.com/python/cpython/commit/8f83c2fb19c45350c2161d9e75dab4cd2bcaee28

New changeset 03b1200dfd03061e9ad0bff8199967bd80b9b900 by Victor Stinner in branch '3.6':
bpo-33015: Fix UB in pthread PyThread_start_new_thread (GH-6008) (GH-10822)
https://github.com/python/cpython/commit/03b1200dfd03061e9ad0bff8199967bd80b9b900

Ok, the bug should now be fixed.

Oh... test_threaded_import started to crash on Python 2.7:

$ ./python -m test  -F -v test_threaded_import
(...)
0:00:00 load avg: 1.06 [  3] test_threaded_import
Trying 20 threads ... OK.
Trying 50 threads ... OK.
Trying 20 threads ... OK.
Segmentation fault (core dumped)

The problem is that PyMem_Malloc() is not thread safe when Python is compiled in debug mode! In release mode, it's safe because PyMem_Malloc() is a thin wrapper to malloc(). But in debug mode, PyMem_Malloc() uses the debug hooks and... pymalloc allocator which is not thread-safe!

I wrote PR 10828 to make PyMem_Malloc() thread-safe in debug mode as well.. But I'm not sure that it's ok to push such change later in the 2.7 development cycle...

So I wrote PR 10829 which only modified PyThread_start_new_thread(): use malloc/free instead of PyMem_Malloc/PyMem_Free.

New changeset bc9f53f69e8207027bf2b18e3d01b30401e76ace by Victor Stinner in branch '2.7':
bpo-33015: Use malloc() in PyThread_start_new_thread() (GH-10829)
https://github.com/python/cpython/commit/bc9f53f69e8207027bf2b18e3d01b30401e76ace

why was that only an issue on 2.7?

> why was that only an issue on 2.7?

I added PyMem_RawMalloc() to Python 3.4 and this function must be thread-safe.

https://docs.python.org/dev/c-api/memory.html#raw-memory-interface
"These functions are thread-safe, the GIL does not need to be held."

I replaced PyMem_RawMalloc() with PyMem_Malloc() when I backported the change, but I didn't know that PyMem_Malloc() isn't thread-safe *in debug mode*!

Gregory: do you think that it would be be crazy to fix PyMem_Malloc() to make it thread-safe in debug mode as well? I implemented a fix: PR 10828.

I don't think it is crazy for 2.7, but I'd move that to its own issue as you already nicely addressed the problem related to this PR without needing that.

> I don't think it is crazy for 2.7, but I'd move that to its own issue as you already nicely addressed the problem related to this PR without needing that.

Good idea. I created bpo-35368. I close this issue since it's now fixed.