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我有一段代码在我的 linux 系统上运行良好，但是当我让同事在他的 windows 系统上运行它时，它只会使 python 崩溃。我已经能够将其缩小到 non_zero 的 Numpy 函数的问题，但我想知道是否有人知道为什么会崩溃？

代码片段（足以让 64 位 python 2.7.3 崩溃）

import numpy as np
data = np.zeros(2500,dtype='float32, (25000,2)float32')
""" The following 3 lines are not necessary but asking for the amount
of non_zeros in an array filled with zeros feels 'silly'
"""
data[0][0] = 1
data[0][1][0] = 2
data[0][1][1] = 3
time_elements = np.count_nonzero(data)

我很可能会向 NumPy 的人员提交错误报告，因此如果可以重新创建此系统的人指定他们用来重新创建它的版本/系统，我将不胜感激。

PS：安装的 numpy 是 64 位版本，取自http://www.lfd.uci.edu/~gohlke/pythonlibs

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1 回答 1

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这是一个 NumPy 错误；看起来平台不相关。 VOID_nonzero来自 numpy/core/src/multiarray/arraytypes.c.src 递归调用自身，直到堆栈空间用完（我的系统上超过 87000 个堆栈帧）：

#0  0x00002aaaaab98a4a in ?? ()
   from /opt/.../python/2.7.3/lib64/libpython2.7.so.1.0
#1  0x00002aaaaab9b2a4 in ?? ()
   from /opt/.../python/2.7.3/lib64/libpython2.7.so.1.0
#2  0x00002aaaaab9b6bd in _PyArg_ParseTuple_SizeT ()
   from /opt/.../python/2.7.3/lib64/libpython2.7.so.1.0
#3  0x00002aaaae7f7b72 in VOID_nonzero (ip=0x2aaab2d623f4 "", 
    ap=<value optimized out>)
    at numpy/core/src/multiarray/arraytypes.c.src:2345
#4  0x00002aaaae7f7bc7 in VOID_nonzero (ip=0x2aaab2d623f0 "", 
    ap=0x7fffff3ff118) at numpy/core/src/multiarray/arraytypes.c.src:2363
[...]
#87292 0x00002aaaae7f7bc7 in VOID_nonzero (ip=0x2aaab2d0d010 "", 
    ap=0x7fffff3ff118) at numpy/core/src/multiarray/arraytypes.c.src:2363
#87293 0x00002aaaae7cce87 in reduce_count_nonzero_loop (iter=0xbcc670, 
    dataptr=0xbcc770, strides=0xbcc760, countptr=0xbcc738, 
    iternext=0x2aaaae7beb60 <npyiter_buffered_reduce_iternext_iters2>, 
    needs_api=0, skip_first_count=0, data=0x2aaaae7f7ac0)
    at numpy/core/src/multiarray/item_selection.c:2127
#87294 0x00002aaaae8180f1 in PyArray_ReduceWrapper (operand=0xa099d7, out=0x0, 
    wheremask=<value optimized out>, operand_dtype=0xa04ce8, 
    result_dtype=<value optimized out>, casting=NPY_SAME_KIND_CASTING, 
    axis_flags=0x7fffffffcb90 "\001\024`", reorderable=1, skipna=0, 
    skipwhichna=0x0, keepdims=0, subok=0, 
    assign_identity=0x2aaaae811500 <assign_reduce_identity_zero>, 
    loop=0x2aaaae7ccdd0 <reduce_count_nonzero_loop>, 
    masked_loop=0x2aaaae7f8c00 <reduce_count_nonzero_masked_loop>, 
    advanced_masked_loop=0, data=0x2aaaae7f7ac0, buffersize=0, 
    funcname=0x2aaaae85fa61 "count_nonzero")
    at numpy/core/src/multiarray/reduction.c:1000
#87295 0x00002aaaae827c6e in PyArray_ReduceCountNonzero (
    __NPY_UNUSED_TAGGEDself=<value optimized out>, args=<value optimized out>, 
    kwds=<value optimized out>)
    at numpy/core/src/multiarray/item_selection.c:2218
#87296 array_count_nonzero (__NPY_UNUSED_TAGGEDself=<value optimized out>, 
    args=<value optimized out>, kwds=<value optimized out>)
    at numpy/core/src/multiarray/multiarraymodule.c:2091
#87297 0x00002aaaaab8cd14 in PyEval_EvalFrameEx ()
   from /opt/.../python/2.7.3/lib64/libpython2.7.so.1.0
#87298 0x00002aaaaab8e4c2 in PyEval_EvalCodeEx ()
   from /opt/.../python/2.7.3/lib64/libpython2.7.so.1.0
#87299 0x00002aaaaab8e512 in PyEval_EvalCode ()
   from /opt/.../python/2.7.3/lib64/libpython2.7.so.1.0
#87300 0x00002aaaaaba7ff2 in ?? ()
   from /opt/.../python/2.7.3/lib64/libpython2.7.so.1.0
#87301 0x00002aaaaaba81ea in PyRun_StringFlags ()
   from /opt/.../python/2.7.3/lib64/libpython2.7.so.1.0
#87302 0x00002aaaaaba93b0 in PyRun_SimpleStringFlags ()
   from /opt/.../python/2.7.3/lib64/libpython2.7.so.1.0
#87303 0x00002aaaaabb9a26 in Py_Main ()
   from /opt/.../python/2.7.3/lib64/libpython2.7.so.1.0
#87304 0x00000036c961d994 in __libc_start_main () from /lib64/libc.so.6
#87305 0x0000000000400649 in _start ()

当地人是：

    key = 0xa82d00
    value = 0xa05f80
    savedflags = 1287
    new = 0xa04c90
    title = 0x7fffff3ff800
    offset = 2
    pos = 2
    i = <value optimized out>
    len = <value optimized out>
于 2013-05-07T15:12:37.490 回答