小编roh*_*anp的帖子

我正在使用concurrent.futures来实现多处理.我得到一个队列.全错误,这是奇怪的,因为我只分配10个工作.

A_list = [np.random.rand(2000, 2000) for i in range(10)]

with ProcessPoolExecutor() as pool:
    pool.map(np.linalg.svd, A_list)

错误:

Exception in thread Thread-9:
Traceback (most recent call last):
  File "/Library/Frameworks/Python.framework/Versions/3.4/lib/python3.4/threading.py", line 921, in _bootstrap_inner
    self.run()
  File "/Library/Frameworks/Python.framework/Versions/3.4/lib/python3.4/threading.py", line 869, in run
    self._target(*self._args, **self._kwargs)
  File "/Library/Frameworks/Python.framework/Versions/3.4/lib/python3.4/concurrent/futures/process.py", line 251, in _queue_management_worker
    shutdown_worker()
  File "/Library/Frameworks/Python.framework/Versions/3.4/lib/python3.4/concurrent/futures/process.py", line 209, in shutdown_worker
    call_queue.put_nowait(None)
  File "/Library/Frameworks/Python.framework/Versions/3.4/lib/python3.4/multiprocessing/queues.py", line 131, in put_nowait
    return self.put(obj, False)
  File "/Library/Frameworks/Python.framework/Versions/3.4/lib/python3.4/multiprocessing/queues.py", line 82, in put
    raise Full
queue.Full

我在我的反应层次结构的顶层有一个元素数组,我想用一个带有元素值(一个字符串)的参数来设置onClick函数.但是,当我尝试打印此值时,将打印"代理"对象:Proxy {dispatchConfig: null, _targetInst: null, isDefaultPrevented: null, isPropagationStopped: null, _dispatchListeners: null…}

这是我的渲染函数中的代码:

return collapseChoices.map((choice) => {
        console.log(choice)

        return (
          <div className="collapseChoice"
             onClick={(choice) => this.handleCollapse(choice)}>
             {choice}
          </div>
        );

这是handleCollapse函数:

handleCollapse(mark){
    console.log(mark);
  }

我确保this在构造函数中绑定

  constructor(){
    super();

    this.handleCollapse = this.handleCollapse.bind(this);
  }

所以我尝试用 Cython 包装一些 C 代码。我阅读了有关执行此操作的应用 Cython 的教程（1、2），但是这些教程没有过多说明如何在使用 Cython 包装代码后编译代码，因此我收到错误消息，指出它找不到我的 C代码。

首先，我的 cython 脚本（“calcRMSD.pyx”）：

import numpy as np
cimport numpy as np

cdef extern from "rsmd.h":
    double rmsd(int n, double* x, double* y)

#rest of the code ommited

我试图包装的 C 代码（“rmsd.h”）：

#include <string.h>
#include <stdio.h>
#include <stdlib.h>
#include <math.h>

extern "C" {
  // svd from lapack
  void dgesvd_(char*,char*,int*,int*,double*,int*,double*,double*,int*,double*,
           int*,double*,int*,int*);
}

double rmsd(int n, double* x, double* y)
{
   //code omitted
}

安装程序.py

from distutils.core import setup
from …

以下是数据的编写方式(浮点数的2-D矩阵.我不确定大小).

open(unit=51,file='rmsd/'//nn_output,form='unformatted',access='direct',status='replace',&
     recl=Npoints*sizeofreal)

!a bunch of code omitted 

    write(51,rec=idx-nstart+1) (real(dist(jdx)),jdx=1,Npoints)

这里是我想读的文件,从回答这些类似的问题启发:1,2.

   f = open(inputfilename,'rb')
   field = np.fromfile(f,dtype='float64')

但结果不正确.矩阵的对角线应为0(或非常接近),因为它是相似矩阵.我尝试了不同dtype的但我仍然无法得到正确的结果.

编辑:这是我得到的输出

array([  1.17610188e+01,   2.45736970e+02,   7.79741823e+02, ...,
         9.52930627e+05,   8.93743127e+05,   7.64186127e+05])

我还没有为重塑而烦恼,因为值应该在0到20之间.

编辑2:这是指向文件前100行的链接:https: //drive.google.com/file/d/0B2Mz7CoRS5g5SmRxTUg5X19saGs/view？usp =sharing

编辑3:文件顶部的声明

integer,parameter :: real_kind=8
!valuables for MPI
integer :: comm, nproc, myid, ierr

integer,allocatable :: idneigh(:)
real :: tmp
real,allocatable :: traj(:,:)
real(real_kind),allocatable :: dist(:)
real(real_kind),allocatable :: xx(:,:),yy(:,:),rot(:),weight(:)
character(200) :: nn_traj, nn_output, nn_neigh
integer,parameter :: sizeofreal=4,sizeofinteger=4