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@yuuang/ffi-rs-darwin-x64
Advanced tools
A module written in Rust and N-APi provides interface (FFI) features for Node.js
ffi-rs is a module written in Rust and N-API that provides FFI (Foreign Function Interface) features for Node.js. It allows developers to call functions written in other languages such as C++, C, and Rust directly from JavaScript without writing any C++ code.
This module aims to provide similar functionality to the node-ffi module, but with a completely rewritten underlying codebase. The node-ffi module has been unmaintained for several years and is no longer usable, which is why ffi-rs was developed.
$ npm i ffi-rs
Currently, ffi-rs only supports there types of parameters and return values. However, support for more types will be added in the future based on actual usage scenarios.
Here is an example of how to use ffi-rs:
For below c++ code, we compile this file into a dynamic library
#include <cstdio>
#include <cstring>
#include <iostream>
#include <string>
extern "C" int sum(int a, int b) { return a + b; }
extern "C" double doubleSum(double a, double b) { return a + b; }
extern "C" const char *concatenateStrings(const char *str1, const char *str2) {
std::string result = std::string(str1) + std::string(str2);
char *cstr = new char[result.length() + 1];
strcpy(cstr, result.c_str());
return cstr;
}
extern "C" void noRet() { printf("%s", "hello world"); }
extern "C" int *createArrayi32(const int *arr, int size) {
int *vec = (int *)malloc((size) * sizeof(int));
for (int i = 0; i < size; i++) {
vec[i] = arr[i];
}
return vec;
}
extern "C" double *createArrayDouble(const double *arr, int size) {
double *vec = (double *)malloc((size) * sizeof(double));
for (int i = 0; i < size; i++) {
vec[i] = arr[i];
}
return vec;
}
extern "C" bool return_opposite(bool input) { return !input; }
extern "C" char **createArrayString(char **arr, int size) {
char **vec = (char **)malloc((size) * sizeof(char *));
for (int i = 0; i < size; i++) {
vec[i] = arr[i];
}
return vec;
}
typedef struct Person {
const char *name;
int age;
} Person;
extern "C" const Person *getStruct(const Person *person) {
printf("Name: %s\n", person->name);
printf("Age: %d\n", person->age);
return person;
}
$ g++ -dynamiclib -o libsum.so cpp/sum.cpp # macos
$ g++ -shared -o libsum.so cpp/sum.cpp # linux
$ g++ -shared -o sum.dll cpp/sum.cpp # win
Then can use ffi-rs
invoke the dynamic library file contains functions.
const { equal } = require('assert')
const { load, RetType, ParamsType } = require('ffi-rs')
const a = 1
const b = 100
const dynamicLib = platform === 'win32' ? './sum.dll' : "./libsum.so"
const r = load({
library: "./libsum.so", // path to the dynamic library file
funcName: 'sum', // the name of the function to call
retType: RetType.I32, // the return value type
paramsType: [ParamsType.I32, ParamsType.I32], // the parameter types
paramsValue: [a, b] // the actual parameter values
})
equal(r, a + b)
const c = "foo"
const d = "bar"
equal(c + d, load({
library: dynamicLib,
funcName: 'concatenateStrings',
retType: RetType.String,
paramsType: [ParamsType.String, ParamsType.String],
paramsValue: [c, d]
}))
equal(undefined, load({
library: dynamicLib,
funcName: 'noRet',
retType: RetType.Void,
paramsType: [],
paramsValue: []
}))
equal(1.1 + 2.2, load({
library: dynamicLib,
funcName: 'doubleSum',
retType: RetType.Double,
paramsType: [ParamsType.Double, ParamsType.Double],
paramsValue: [1.1, 2.2]
}))
let bigArr = new Array(100000).fill(100)
equal(bigArr[0], load({
library: dynamicLib,
funcName: 'createArrayi32',
retType: RetType.I32Array,
paramsType: [ParamsType.I32Array, ParamsType.I32],
paramsValue: [bigArr, bigArr.length],
retTypeLen: bigArr.length
})[0])
let bigDoubleArr = new Array(100).fill(1.1)
equal(bigDoubleArr[0], load({
library: dynamicLib,
funcName: 'createArrayDouble',
retType: RetType.DoubleArray,
paramsType: [ParamsType.DoubleArray, ParamsType.I32],
paramsValue: [bigDoubleArr, bigDoubleArr.length],
retTypeLen: bigDoubleArr.length
})[0])
const boolVal = false
equal(!boolVal, load({
library: dynamicLib,
funcName: 'return_opposite',
retType: RetType.Boolean,
paramsType: [ParamsType.Boolean],
paramsValue: [bool_val],
}))
let stringArr = [c, c.repeat(200)]
equal(stringArr[0], load({
library: dynamicLib,
funcName: 'createArrayString',
retType: RetType.StringArray,
paramsType: [ParamsType.StringArray, ParamsType.I32],
paramsValue: [stringArr, stringArr.length],
retTypeLen: stringArr.length
})[0])
const person = {
name: 'tom',
age: 23,
}
const personObj = load({
library: dynamicLib,
funcName: 'getStruct',
retType: RetType.Object,
paramsType: [{
name: ParamsType.String,
age: ParamsType.I32,
}],
paramsValue: [person],
retFields: {
name: ParamsType.String,
age: ParamsType.I32,
}
})
equal(person.name, personObj.name)
equal(person.age, personObj.age)
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The npm package @yuuang/ffi-rs-darwin-x64 receives a total of 9,966 weekly downloads. As such, @yuuang/ffi-rs-darwin-x64 popularity was classified as popular.
We found that @yuuang/ffi-rs-darwin-x64 demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 0 open source maintainers collaborating on the project.
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