我正在遵循这里的文档:http://www.swig.org/Doc3.0/Library.html#Library_stl_cpp_library编写一个包装器,用于涉及矢量的简单示例代码。
以下是头文件:
### word.h ###
#include<string>
#include<vector>
class Word{
public:
Word(std::string word, int numWords, std::vector<double> &values);
~Word();
void updateWord(std::string newWord);
std::string getWord();
void processValues();
private:
std::string theWord;
int totalWords;
std::vector<double> values;
};
源文件如下:
### word.cpp ###
#include "word.h"
#include <cfloat>
#include <cmath>
#include <cstdlib>
#include <iostream>
#include <fstream>
#include <time.h>
Word::Word(std::string word, int numWords, std::vector<double> &values) :
theWord(word), totalWords(numWords), values(values){
// TODO: constructor
}
Word::~Word() {
// TODO: destructor
}
void Word::updateWord(std::string newWord) {
this->theWord = newWord;
}
std::string Word::getWord() {
return this->theWord;
}
void Word::processValues() {
values.resize(totalWords);
// do something with values here
}
/*
rest of the code that uses the other imports
*/
以下是接口文件:
### word.i ###
%module word
%{
#include "word.h"
%}
%include "std_string.i"
%include "std_vector.i"
namespace std {
%template(vectord) vector<double>;
}
%include "word.h"
我的编译步骤如下:
swig -c++ -python word.i
g++ -c -fpic word.cpp word_wrap.cxx -I/usr/include/python2.7
g++ -shared word.o word_wrap.o -o _word.so -lstdc++
编译过程没有出现任何错误。但是,当我试图在Python中创建对象时,我得到了以下错误:
In [1]: import word
In [2]: w = word.Word('test', 10, [10.2])
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-2-ee2e5c406fd9> in <module>()
----> 1 w = word.Word('test', 10, [10.2])
/home/anarayan/workspace/swig-learn/word.pyc in __init__(self, word, numWords, values)
276
277 def __init__(self, word, numWords, values):
--> 278 this = _word.new_Word(word, numWords, values)
279 try:
280 self.this.append(this)
TypeError: in method 'new_Word', argument 3 of type 'std::vector< double,std::allocator< double > > &'
一番在线搜索后,我认为在SWIG定义中使用模板可以解决这个问题。
然而,在我的情况下并没有。您能指点一下我该如何做吗?
numpy.i
SWIG 绑定获取指向底层数组的指针,并直接在原地修改它:https://numpy.org/doc/stable/reference/swig.interface-file.html#in-place-arrays - Henri Menke