PyArray\u SimpleNew给出“ValueError:数组太大对于3管阵列

Question

我正在CentOS 7上使用Anaconda Spyder 3.3.6（Python3.7）

static PyObject *  squeezeSurfaces(PyObject* self, PyObject* args)
{
    PyArrayObject *matin, *matout;
    double ***cin, ***cout, dfactor;
    int i,j,k,n,m,l, dims[3], ifactor;

    // Parse tuples separately since args will differ between C fcns
    if (!PyArg_ParseTuple(args, "O!id",
        &PyArray_Type, &matin, &ifactor, &dfactor))  return NULL;
    if (NULL == matin)  return NULL;

    // Check that object input is 'double' type and a matrix
    //   Not needed if python wrapper function checks before call to this routine
    if (not_doublematrix(matin)) return NULL;

    // Get the dimensions of the input
    n=dims[0]=matin->dimensions[0];
    m=dims[1]=matin->dimensions[1];
    l=dims[2]=matin->dimensions[2];

    // Make a new double matrix of same dims
    matout=(PyArrayObject *) PyArray_SimpleNew(3,dims,NPY_DOUBLE);

    Py_INCREF(matin);
    return PyArray_Return(matin);
}

使用以下Python代码

import surfaceModules as sm
import numpy as NP

x=NP.zeros(27)
for i in range(0,27): x[i]=i 
x=x.reshape(3,3,3)
jfac=2
xfac=1.5
y=sm.squeezeSurfaces(x, jfac, xfac)

我收到以下信息

__main__:10: DeprecationWarning: PyArray_FromDims: use PyArray_SimpleNew.
__main__:10: DeprecationWarning: PyArray_FromDimsAndDataAndDescr: use PyArray_NewFromDescr.

所以我用PyArray\u SimpleNew替换了PyArray\u FromDims

这导致了

ValueError: array is too big; `arr.size * arr.dtype.itemsize` is larger than the maximum possible size.

使用相同的Python代码。它是一个3立方数组，所以总共应该只有27个元素。请注意，这发生在Spyder和Jupyter笔记本上