这一个例子是c调用了python的函数，函数返回值是list，包含了100个float值。
#include#include #include void test1(){ Py_Initialize();//初始化python char *test = "奖励"; PyObject * pModule = NULL; PyObject * pModule1 = NULL; PyObject * pFunc = NULL; PyObject * pArg = NULL; PyObject * result; pModule = PyImport_ImportModule("inferSingleDocVec");//引入模块 pFunc = PyObject_GetAttrString(pModule, "getDocVec");//直接获取模块中的函数 pArg= Py_BuildValue("(s)", test); result = PyEval_CallObject(pFunc, pArg); //调用直接获得的函数，并传递参数；这里得到的是一个list for (int i = 0; i < PyList_Size(result); i++) {printf("%f\t", PyFloat_AsDouble(PyList_GetItem(result, (Py_ssize_t)i)));//打印每一个元素 } //下面代码适用于返回值为字符串的情况 //char* s=NULL; //PyArg_Parse(result, "s", &s); //for (int i=0;s[i]!='\0';i++){ // printf("%c",s[i]); // } Py_Finalize(); //释放python // return; } int main(int argc, char* argv[]) { test1(); return 0; }
编译运行
$ gcc -I/usr/local/lib/python2.7.11 -o inferDocVec inferDocVec.c -lpython2.7 $ ./inferDocVec
调用的inferSingleDocVec文件
#!/usr/bin/python
# -*- coding: utf-8 -*-
### for infer
import sys
reload(sys)
sys.setdefaultencoding('utf8')
import gensim, logging
from gensim.models import Doc2Vec
import os
import jieba
import multiprocessing
import numpy as np
import base64
logging.basicConfig(format='%(asctime)s : %(levelname)s : %(message)s', level=logging.INFO)
def getDocVec(doc_words):
docwords=[word for word in jieba.cut(doc_words, cut_all = False)]
model = Doc2Vec.load('all_model_v2.txt')
invec = model.infer_vector(docwords, alpha=0.1, min_alpha=0.0001, steps=5)
return (list)(invec)
关于如何将python文件转为模块，详见之前的一篇博文python 将自己写的py文件作为模块导入
参考链接
