[Numpy-tickets] [NumPy] #371: Potential memory leak with numpy-1.0

[NumPy]

#371: Potential memory leak with numpy-1.0
----------------------+-----------------------------------------------------
 Reporter:  tepperly  |       Owner:  somebody
     Type:  defect    |      Status:  new     
 Priority:  normal    |   Milestone:          
Component:  Other     |     Version:          
 Severity:  normal    |    Keywords:          
----------------------+-----------------------------------------------------
 compiled python-2.5 with ./configure --enable-shared
 --without-pymalloc, and I defined #define'd
 Py_USING_MEMORY_DEBUGGER in Python-2.5/Objects/obmalloc.c

 If I run python -c "import numpy", I see some unfreed
 pointers in the numpy code. Here is the valgrind
 output for the potential leak:

 ==7786== 60 bytes in 10 blocks are still reachable in
 loss record 13 of 48
 ==7786== at 0x401A662: malloc (vg_replace_malloc.c:149)
 ==7786== by 0x49C807F: PyArray_NewFromDescr
 (arrayobject.c:5361)
 ==7786== by 0x49C54D3: PyArray_FromScalar
 (scalartypes.inc.src:187)
 ==7786== by 0x49CA561: PyArray_FromAny
 (arrayobject.c:8296)
 ==7786== by 0x49CA912: PyArray_CheckFromAny
 (arrayobject.c:8476)
 ==7786== by 0x4A04ED1: _array_fromobject
 (multiarraymodule.c:5392)
 ==7786== by 0x407224D: PyCFunction_Call
 (methodobject.c:108)
 ==7786== by 0x40B7CE4: call_function (ceval.c:3566)
 ==7786== by 0x40B5D3E: PyEval_EvalFrameEx (ceval.c:2269)
 ==7786== by 0x40B6729: PyEval_EvalCodeEx (ceval.c:2833)
 ==7786== by 0x40B7E1E: fast_function (ceval.c:3662)
 ==7786== by 0x40B7A38: call_function (ceval.c:3587)

 This looks like a potential leak. The whole valgrind
 output log is in the attached file memleak.txt. It also
 has a bigger stack trace.

-- 
Ticket URL: <http://projects.scipy.org/scipy/numpy/ticket/371>
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