我有一段代码可以在我的linux系统上正常运行但是当我让一位同事在他的Windows系统上运行它时它只会崩溃python。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?
Code Snippet(足以崩溃64位python 2.7.3)
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,所以如果能够重新创建此系统的人员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是取自http://www.lfd.uci.edu/~gohlke/pythonlibs
的64位版本答案 0 :(得分:2)
这是一个NumPy错误;它看起来并不像平台是相关的。来自numpy / core / src / multiarray / arraytypes.c.src的VOID_nonzero
以递归方式调用自身,直到它耗尽堆栈空间(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>