[issue26249] Change PyMem_Malloc to use PyObject_Malloc allocator?

[STINNER Victor]

STINNER Victor added the comment:

> Test with jemalloc using the shell script "python.jemalloc":
> ---
> #!/bin/sh
> LD_PRELOAD=/usr/lib64/libjemalloc.so /home/haypo/prog/python/default/python "$@"
> ---

"perf.py -m" doesn't work with such bash script, but it works using exec:
---
#!/bin/sh
LD_PRELOAD=/usr/lib64/libjemalloc.so exec /home/haypo/prog/python/default/python "$@"
---

> Memory consumption:
python3 -u perf.py -m ../default/python ../default/python.jemalloc


Hum, it looks like jemalloc uses *more* memory than libc memory allocators. I don't know if it's a known 


Report on Linux smithers 4.3.3-300.fc23.x86_64 #1 SMP Tue Jan 5 23:31:01 UTC 2016 x86_64 x86_64
Total CPU cores: 8

### 2to3 ###
Mem max: 43088.000 -> 43776.000: 1.0160x larger

### chameleon_v2 ###
Mem max: 367028.000 -> 626324.000: 1.7065x larger

### django_v3 ###
Mem max: 23824.000 -> 25120.000: 1.0544x larger

### fastpickle ###
Mem max: 8696.000 -> 9712.000: 1.1168x larger

### fastunpickle ###
Mem max: 8708.000 -> 9696.000: 1.1135x larger

### json_dump_v2 ###
Mem max: 10488.000 -> 11556.000: 1.1018x larger

### json_load ###
Mem max: 8444.000 -> 9396.000: 1.1127x larger

### nbody ###
Mem max: 7392.000 -> 8416.000: 1.1385x larger

### regex_v8 ###
Mem max: 12760.000 -> 13576.000: 1.0639x larger

### tornado_http ###
Mem max: 28196.000 -> 29920.000: 1.0611x larger

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Python tracker <report at bugs.python.org>
<http://bugs.python.org/issue26249>
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