如何在C++；在Cython中有两种类型？ 我有一个模板化的C++函数，我希望能够使用这两种类型。由于Python不支持重载，我有点被困在如何解决这个问题上。我有一个.pyx，如下所示。如何使用C++函数在浮点< /代码>和双< /代码>？ import cython import numpy as np cimport numpy as np # declare the interface to the C code cdef extern from "diff_cpp.cpp" namespace "diff": cdef void diff_cpp[float] (float* at, const float* a, const float visc, const float dxidxi, const float dyidyi, const float dzidzi, const int itot, const int jtot, const int ktot) cdef extern from "diff_cpp.cpp" namespace "diff": cdef void diff_cpp[double] (double* at, const double* a, const double visc, const double dxidxi, const double dyidyi, const double dzidzi, const int itot, const int jtot, const int ktot) @cython.boundscheck(False) @cython.wraparound(False) def diff(np.ndarray[double, ndim=3, mode="c"] at not None, np.ndarray[double, ndim=3, mode="c"] a not None, double visc, double dxidxi, double dyidyi, double dzidzi): cdef int ktot, jtot, itot ktot, jtot, itot = at.shape[0], at.shape[1], at.shape[2] diff_cpp[double](&at[0,0,0], &a[0,0,0], visc, dxidxi, dyidyi, dzidzi, itot, jtot, ktot) return None @cython.boundscheck(False) @cython.wraparound(False) def diff_f(np.ndarray[float, ndim=3, mode="c"] at not None, np.ndarray[float, ndim=3, mode="c"] a not None, float visc, float dxidxi, float dyidyi, float dzidzi): cdef int ktot, jtot, itot ktot, jtot, itot = at.shape[0], at.shape[1], at.shape[2] diff_cpp[float](&at[0,0,0], &a[0,0,0], visc, dxidxi, dyidyi, dzidzi, itot, jtot, ktot) return None

使用解决方案更新

@oz1的答案提供了正确的方法。对于那些对这个特定问题的解决方案感兴趣的人来说，这是一个有效的代码

import cython
import numpy as np
cimport numpy as np

# declare the interface to the C code
cdef extern from "diff_cpp.cpp" namespace "diff":
    cdef void diff_cpp[T](T* at, const T* a, const T visc,
                          const T dxidxi, const T dyidyi, const T dzidzi,
                          const int itot, const int jtot, const int ktot)

ctypedef fused float_t:
    cython.float
    cython.double

@cython.boundscheck(False)
@cython.wraparound(False)
def diff(np.ndarray[float_t, ndim=3, mode="c"] at not None,
         np.ndarray[float_t, ndim=3, mode="c"] a not None,
         float_t visc, float_t dxidxi, float_t dyidyi, float_t dzidzi):
    cdef int ktot, jtot, itot
    ktot, jtot, itot = at.shape[0], at.shape[1], at.shape[2]
    diff_cpp(&at[0,0,0], &a[0,0,0], visc, dxidxi, dyidyi, dzidzi, itot, jtot, ktot)
    return None

注二：

Cython支持C++模板（）/LI>

Cython有融合类型（）

例如：

// lib.cpp
template<typename T>
T arr_sum(T *arr, size_t size)
{
    T temp=0;
    for (size_t i=0; i != size; ++i){
        temp += arr[i];
    }
    return temp;
}

---

---

只是说说而已，你有没有试过为特定的模板实例化创建一个typedef，并给python起一个非模板的名字？我不知道这些融合的类型。那看起来真是太棒了。

# lib_wrapper.pyx
cimport cython

ctypedef fused  float_t:
    cython.float
    cython.double

cdef extern from "lib.cpp" nogil:
    T arr_sum[T](T *arr, size_t size)

def py_arr_sum(float_t[:] arr not None):
    print(sizeof(arr[0]))  # check the element size
    return arr_sum(&arr[0], arr.shape[0])

# use.py
import numpy as np
from lib_wrapper import py_arr_sum

print(py_arr_sum(np.array([1,2,3], dtype=np.float32)))
print(py_arr_sum(np.array([1,2,3], dtype=np.float64)))
print(py_arr_sum(np.array([1,2,3], dtype=np.int32)))  # oops