Mac OSX Sierra中的Python多进程绘图问题 - 异常类型EXC_BAD_INSTRUCTION

Question

我开发了一个GitHub回购，其示例为multiprocess script in python2.7 for plotting。基本上，脚本分配一个进程来生成数据，并且这些数据通过队列传递给负责生成该图的第二个进程。当我运行示例'multiproc_processIPC.py'或'multiproc_poolQ​​UEUE.py'时，出现以下错误。 请注意，在将我的Mac升级到OSX Sierra后出现此错误。 有没有人有关于这个问题起源的线索？ 任何帮助将高度赞赏

=====错误报告=====

过程：python2.7 [82890] 路径：/用户/用户/ * /蟒 标识符：python2.7 版本：??? 编码类型：X86-64（母语） 父进程：python2.7 [82883] 负责：python2.7 [82890] 用户ID：501

日期/时间：2016年12月4日22点34 ：29.874 +0100 OS版本：Mac OS X的10.12.1（16B2555） 报告版本：12 匿名UUID：689587A6-D759-0F81-671D-1079942B7C42

清醒时间自启动：9000秒

系统完整性保护：启用

崩溃螺纹：0调度队列：com.apple.main线程

异常类型：EXC_BAD_INSTRUCTION（SIGILL） 异常代码：0x0000000000000001，0x0000000000000000 异常注：EXC_CORPSE_NOTIFY

终止信号：非法指令：4 终止原因：命名空间信号编码为0x4 终止处理：EXC处理机[0]

特定应用信息： BUG IN CLIENT LIBDISPATCH作者：_dispatch_main_queue_callback_ 4CF从错误的线程 称为坠毁，机上叉EXEC预

线程0的孩子侧损毁::调度队列：com.apple.main线程 0 libdispatch.dylib 0x00007fff8f9ddd21 _dispatch_main_queue_callback_4CF + 1291 1 com.apple。的CoreFoundation 0x00007fff7a97abe9 CFRUNLOOP_IS_SERVICING_THE_MAIN_DISPATCH_QUEUE + 9 2 com.apple.CoreFoundation 0x00007fff7a93c00d __CFRunLoopRun + 2205 3 com.apple.CoreFoundation 0x00007fff7a93b514 CFRunLoopRunSpecific + 420 4 com.apple.HIToolbox 0x00007fff79ed8fbc RunCurrentEventLoopInMode + 240 5 com.apple.HIToolbox 0x00007fff79ed8df1 ReceiveNextEventC ommon + 432 6 com.apple.HIToolbox 0x00007fff79ed8c26 _BlockUntilNextEventMatchingListInModeWithFilter + 71 7 com.apple.AppKit 0x00007fff785c2b79 _DPSNextEvent + 1093 8 com.apple。了AppKit 0x00007fff78cd81c3 - [的NSApplication（NSEvent）_nextEventMatchingEventMask：untilDate：inMode：出队：] + 1637 9 Tk的0x0000000104b01285 0x104a47000 + 762501 10 Tk的0x0000000104b0171f 0x104a47000 + 763679 11的Tcl 0x00000001049d75f8 Tcl_DoOneEvent + 317 12 Tk的0x0000000104a55932 0x104a47000 + 59698 13的Tcl 0x00000001049695b7 0x10495b000 + 58807 14的Tcl 0x0000000104969e46 Tcl_EvalObjv + 59 15 _tkinter.so 0x00000001037dfe39 Tkapp_Call + 617 16 libpython2.7.dylib 0x00000001000a3302 PyEval_EvalFrameEx + 3730 17 libpython2.7.dylib 0x00000001000ac913 fast_function + 179 18 libpython2.7.dylib 0x00000001000a338a PyEval_EvalFra meEx + 3866 19 libpython2.7.dylib 0x00000001000ac7dc PyEval_EvalCodeEx + 2092 20 libpython2.7.dylib 0x00000001000ac988 fast_function + 296 21 libpython2.7.dylib 0x00000001000a338a PyEval_EvalFrameEx + 3866 22 libpython2.7.dylib 0x00000001000ac7dc PyEval_EvalCodeEx + 2092 23 libpython2 .7.dylib 0x00000001000ac988 fast_function + 296 24 libpython2.7.dylib 0x00000001000a338a PyEval_EvalFrameEx + 3866 25 libpython2.7.dylib 0x00000001000ac7dc PyEval_EvalCodeEx + 2092 26 libpython2.7.dylib 0x0000000100035c1b FUNCTION_CALL + 347 27 libpython2.7.dylib 0x000000010000c761 PyObject_Call + 97 28 libpython2.7.dylib 0x00000001000a3cea PyEval_EvalFrameEx + 6 266 29 libpython2.7.dylib 0x00000001000ac7dc PyEval_EvalCodeEx + 2092 30 libpython2.7.dylib 0x00000001000ac988 fast_function + 296 31 libpython2.7.dylib 0x00000001000a338a PyEval_EvalFrameEx + 3866 32 libpython2.7.dylib 0x00000001000ac7dc PyEval_EvalCodeEx + 2092 33 libpython2.7名为.dylib 0x0000000100035c1b FUNCTION_CALL + 347 34 libpython2.7.dylib 0x000000010000c761 PyObject_Call + 97 35 libpython2.7.dylib 0x000000010001e7d7 instancemethod_call + 503 36 libpython2.7.dylib 0x000000010000c761 PyObject_Call + 97 37 libpython2.7.dylib 0x000000010006673a slot_tp_init + 106 38 libpython2.7.dylib 0x0000000100062465 type_call + 229 39 libpython2.7.dylib 0x000000010000c761 PyObject_Call + 97 40 libpython2.7.dylib 0x00000001000a35a5 PyEval_EvalFrameEx + 4405 41 libpython2.7.dylib 0x00000001000ac7dc PyEval_EvalCodeEx + 2092 42 libpython2.7.dylib 0x0000000100035c1b FUNCTION_CALL + 347 43 libpython2.7。 dylib 0x000000010000c761 PyObject_Call + 97 44 libpython2.7.dylib 0x000000010001e7d7 instancemethod_call + 503 45 libpython2.7.dylib 0x000000010000c761 PyObject_Call + 97 46 libpython2.7.dylib 0x000000010006673a slot_tp_init + 106 47 libpython2.7.dylib 0x0000000100062465 type_call + 229 48 libpython2.7.dylib 0x000000010000c761 PyObject_Call + 97 49 libpython2.7.dylib 0x00000001000a3cea PyEval_EvalFrameEx + 6266 50 libpython2.7.dylib 0x00000001000ac913 fast_function + 179 51 libpython2.7.dylib 0x00000001000a338a PyEval_EvalFrameEx + 3866 52 libpython2.7.dylib 0x00000001000ac913 fast_function + 179 53 libpython2.7.dylib 0x00000001000a338a PyEval_EvalFrameEx + 3866 54 libpython2.7.dylib 0x00000001000ac7dc PyEval_EvalCodeEx + 2092 55 libpython2.7.dylib 0x0000000100035c1b FUNCTION_CALL + 347 56 libpython2.7.dylib 0x000000010000c761 PyObject_Call + 97 57 libpython2.7.dylib 0x000000010001e7d7 instancemethod_call + 503 58 libpython2.7.dylib 0x000000010000c761 PyObject_Call + 97 59 libpython2.7。dylib 0x000000010006673a slot_tp_init + 106 60 libpython2.7.dylib 0x0000000100062465 type_call + 229 61 libpython2.7.dylib 0x000000010000c761 PyObject_Call + 97 62 libpython2.7.dylib 0x00000001000a35a5 PyEval_EvalFrameEx + 4405 63 libpython2.7.dylib 0x00000001000ac913 fast_function + 179 64 libpython2.7.dylib 0x00000001000a338a PyEval_EvalFrameEx + 3866 65 libpython2.7.dylib 0x00000001000ac7dc PyEval_EvalCodeEx + 2092个 66 libpython2.7.dylib 0x00000001000ac856 PyEval_EvalCode + 54 67 libpython2.7.dylib 0x00000001000cb3d4 PyRun_FileExFlags + 164 68 libpython2.7.dylib 0x00000001000cc709 PyRun_SimpleFileExFlags + 409 69 libpython2.7.dylib 0x000 00001000e01ca Py_Main + 2938 70蟒0x0000000100000f14启动+ 52

线程1： 0 libsystem_kernel.dylib 0x00007fff8fb354e6 __workq_kernreturn + 10 1 libsystem_pthread.dylib 0x00007fff8fc1d622 _pthread_wqthread + 1023 2 libsystem_pthread.dylib 0x00007fff8fc1d211 start_wqthread + 13

螺纹2： 0 libsystem_kernel.dylib 0x00007fff8fb354e6 __workq_kernreturn + 10 1 libsystem_pthread.dylib 0x00007fff8fc1d622 _pthread_wqthread + 1023 2 libsystem_pthread.dylib 0x00007fff8fc1d211 start_wqthread + 13

线程3： 0 libsystem_kernel.dylib 0x00007fff8fb354e6 __workq_kernreturn + 10 1 libsystem_pthread.dylib 0x00007fff8fc1d7b5 _pthread_wqthread + 1426 2 libsystem_pthread.dylib 0x00007fff8fc1d211 start_wqthread + 13

线程4： 0 libsystem_kernel.dylib 0x00007fff8fb34f4e __select + 10 1的Tcl 0x0000000104a08271 0x10495b000 + 709233 2 libsystem_pthread.dylib 0x00007fff8fc1daab _pthread_body + 180 3 libsystem_pthread.dylib 0x00007fff8fc1d9f7 _pthread_start + 286 4 libsystem_pthread.dylib 0x00007fff8fc1 D221 thread_start + 13

螺纹5 :: com.apple.NSEventThread 0 libsystem_kernel.dylib 0x00007fff8fb2d41a mach_msg_trap + 10 1 libsystem_kernel.dylib 0x00007fff8fb2c867 mach_msg + 55 2 libsystem_kernel.dylib 0x00007fff8fb21ed1 _kernelrpc_mach_port_set_attributes + 150 3 libdispatch.dylib 0x00007fff8f9e7739 _dispatch_runloop_queue_handle_init + 171 4 libdispatch.dylib 0x00007fff8f9d84b7 _dispatch_runloop_root_queue_create_4CF + 133 5 com.apple.CoreFoundation 0x00007fff7a9091e6 __CFRunLoopF​​indMode + 502 6 com.apple.CoreFoundation 0x00007fff7a909889 CFRunLoopAddSource + 201 7 com.apple.HIToolbox 0x000的07fff79ed9897 AdjustCGSSourceInRunLoop（空隙（）（__ CFRunLoop，__CFRunLoopSource *，__CFString常量*），__CFRunLoop *，__CFRunLoopSource *）+ 180 8 com.apple.HIToolbox 0x00007fff79ed97bb AddCGSSourceToRunLoop（__ CFRunLoop *）+ 78 9 com.apple.HIToolbox 0x00007fff79eecc52 _BeginEventReceiptOnThread + 181 10 com.apple.AppKit 0x00007fff7870f4f8 _NSEventThread + 37 11 libsystem_pthread.dylib 0x00007fff8fc1daab _pthread_body + 180 12 libsystem_pthread.dylib 0x00007fff8fc1d9f7 _pthread_start + 286 13 libsystem_pthread。dylib 0x00007fff8fc1d221 thread_start + 13

线程0坠毁与X86线程状态（64位）： RAX：0x0000000000000307 RBX：0x00000001003d93f0 RCX：0x00007fff8f9f9530 RDX：0x0000000000000307 RDI：0x0000000000000001 RSI：0x0000000000000006 RBP：0x00007fff5fbfa160 RSP：0x00007fff5fbfa0f0 R8 ：0x0000000000000040 R9：0x00000001003d9408 R10：0xffffffffffffffff R11：0x0000000000012068 R12：0x00000001003d93e0 R13：0x00000001003d94a0 R14：0x00007fff986f5a80 R15：0x0000000102076898 RIP：0x00007fff8f9ddd21 RFL：0x0000000000010202 CR2：0x00007fff9db1224b

逻辑CPU：3 错误代码：00000000 陷阱号：6个

二元图像： 0x100000000 - 0x100000ff7 +蟒（???）/用户/用户/ /蟒 0x100003000 - 0x100146ff7 + libpython2.7.dylib（2.7）< 87FF0E63-058F-3190-A882-8E25F3D889C7> /用户/用户/ /libpython2.7.dylib 0x1002db000 - 0x1002dcff7 + _locale.so（???）/用户/用户/ /_locale.so 0x1002e0000 - 0x1002e6ff7 + itertools.so（???）/ Users/USER/ /itertools.so < < < < < < LINES为简洁起见省略>>>>>> 0x7fff8fc2b000 - 0x7fff8fc32fff libsystem_symptoms.dylib（532.1.1）< 8FB7CA37-79EF-3651-B5B9-B5E1E0947067> /usr/lib/system/libsystem_symptoms.dylib 0x7fff8fc33000 - 0x7fff8fc53ff7 libsystem_trace。 dylib（518.20.8）/usr/lib/system/libsystem_trace.dylib 0x7fff8fc54000 - 0x7fff8fc59ffb libunwind.dylib（35.3）< 9F7C2AD8-A9A7-3DE4-828D-B0F0F166AAA0> /usr/lib/system/libunwind.dylib 0x7fff8fc5a000 - 0x7fff8fc83ff7 libxpc.dylib（972.20.3）< 85EB25FD-218F-38EE-9E69-391CC8EBE6C5> /usr/lib/system/libxpc.dylib

外部修改总结：通过其他工艺靶向这种方法制成 呼叫： task_for_pid：0 thread_create：0 thread_set_state：通过这种方法制成的0 呼叫： task_for_pid：0 thread_create：0 thread_set_state：此机器上的所有方法制得的0 呼叫： task_for_pid：542465 thread_create：0 thread_set_state：0

VM区总结：文库 只读部分：总= 254.5M居民= 0K（0％）swapped_out_or_unallocated = 254.5M（100％） 可写区域：总= 96.5M书面= 0K（0％ ）居民= 0K（0％）swapped_out = 0K（0％）未分配= 96.5M（1 00％）

      VIRTUAL REGION 

REGION TYPE SIZE COUNT（未合并的） =========== ======= ======= 行为跟踪256K 2 CoreUI图像文件144K 3 调度延续8192K 2 内核的Alloc一旦8K 2 MALLOC 61.8M 54 MALLOC保护页32K 7 存储器标签242 12K 2 STACK GUARD 56.0M 7 堆栈10.1M 7 VM_ALLOCATE 48K 7 __DATA 21。0M 292 __IMAGE 528K 2 __LINKEDIT 115.0M 66 __TEXT 139.5M 288 __unicode 556K 2 映射文件43.2M 9 共享存储器16.3M 12 =========== ====== = ======= TOTAL 472.4M 747

型号：MacBookPro11,1，BOOTROM的MBP111.0138.B17，2个处理器，Intel酷睿，2,4- GHz的，8 GB，SMC 2.16f68 图形：英特尔Iris，英特尔Iris，内置内存模块：BANK 0/DIMM0,4GB，DDR3,1600MHz，0x80AD，0x484D54343531533641465238412D50422020 内存模块：BANK 1/DIMM0,4GB，DDR3,1600MHz，0x80AD，0x48 4D54343531533641465238412D50422020 的AirPort：spairport_wireless_card_type_airport_extreme（0x14E4，0x112），博通BCM43xx 1.0（7.21.171.47.1a8） 蓝牙：版本5.0.1f7，3个服务，17个设备，1个输入的串行端口 网络服务：机场，，EN0 串行ATA设备：APPLE SSD SM0256F，251 GB USB设备：USB 3.0总线 USB设备：苹果内置键盘/触控板 USB设备：BRCM20702集线器 USB设备：蓝牙USB主机控制器 霹雳公交：的MacBook Pro，苹果公司， 17.2

Answer 1

好吧，更多信息：如果我运行第一个流程米终端，其脚本 'visl.py' 是：

#!/usr/bin/env python 
from multiprocessing import Process 
import sys 
sys.path.insert(0, './lib') 
import visualizer 

visualizer.Visualizer() 

和然后第二处理来自不同的终端的实例，其脚本 'logr.py' 是：

#!/usr/bin/env python 
from multiprocessing import Process 
import sys 
sys.path.insert(0, './lib') 
import logger 


args_logger = {'sampling_time_ms': 5, 'plotting_time_ms': 100} 
logger.Logger(args_logger) 

它的工作原理。然后：如何从一个脚本运行两个python进程？

Answer 2

尝试将“启动方法”设置为“产生”而不是“分叉”的默认值。有关详细信息，请参见https://docs.python.org/3/library/multiprocessing.html#contexts-and-start-methods。

这对我工作在类似的问题。