Coco is a personal project created by a regular high school student that allows you to compile JavaScript code by translating it into C++. This approach opens up exciting possibilities for integrating C++ with Node.js applications. Whether you're looking to improve performance, take advantage of C++ libraries, or explore new possibilities, Coco is here to help.
JavaScript is a popular programming language, primarily known for its versatility and its role in web development. However, certain applications, especially those requiring high performance or low-level system interactions, may benefit from the capabilities of C++, a powerful systems programming language. Coco bridges the gap between these two worlds, offering the following advantages:
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JavaScript to C++ Compilation: Translate your JavaScript code into C++ for enhanced performance and integration possibilities.
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Node.js Compatible: Coco is designed to work seamlessly with Node.js applications, allowing you to harness the power of C++ within your JavaScript projects.
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Automatic Type Inference: Coco automatically infers data types where possible, reducing the need for manual type annotations.
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Standard Library Integration: Easily integrate C++ standard library functions and modules into your JavaScript code.
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Customization: Configure Coco's behavior using options and settings to tailor the compilation process to your specific needs.
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Extensibility: Coco is built with extensibility in mind, making it easy to add custom translation rules and support for additional JavaScript features.
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C++11 Compatible: The C++ code generated by Coco is written in C++11, providing you with the benefits of modern C++ features and compatibility.
Using Coco is straightforward. You can compile your JavaScript code to C++ by running the following command:
coco <input_file.js>
- <input_file.js>: Replace this with the path to your JavaScript source file that you want to compile.
Coco supports various configuration options that allow you to customize the compilation process
-
-v
,--version
: Display the Coco version. -
--time-output
,--time-outputs
: Measure and display the time taken for the compilation process. -
-o <output_file>
,--output <output_file>
: Specify the name of the output file where the generated C++ code will be saved. -
--cpp <cpp_file>
: Specify the name of the C++ source file to be generated. -
--useFloat
: Specify the use of adouble
data type for all the numbers in the generated C++ code. By default, Coco usesint
as the data type. -
--useBigInt
: Specify the use of along long
data type for all the numbers in the generated C++ code if you dont want to anotate everything.
Coco empowers you to seamlessly integrate C++ code into your JavaScript applications, allowing you to leverage the performance benefits and vast libraries of C++. Below is a more complex example demonstrating how to link C++ code to a JavaScript file:
JavaScript File (app.js):
const { calculateFibonacci } = require("./fibonacci.cpp");
// Calculate and print the Fibonacci sequence
const n = 10;
const fibonacciSequence = calculateFibonacci(n);
console.log(
`Fibonacci sequence of ${n} numbers: ${fibonacciSequence.join(", ")}`
);
C++ File (fibonacci.cpp):
#include <vector>
// Function to calculate the Fibonacci sequence up to n numbers
std::vector<int> calculateFibonacci(int n) {
std::vector<int> sequence;
if (n >= 1) sequence.push_back(0);
if (n >= 2) sequence.push_back(1);
for (int i = 2; i < n; ++i) {
int nextNumber = sequence[i - 1] + sequence[i - 2];
sequence.push_back(nextNumber);
}
return sequence;
}
In this example, we have an app.js JavaScript file that requires and uses a C++ function calculateFibonacci defined in the fibonacci.cpp file. The C++ function calculates the Fibonacci sequence up to a specified number of terms and returns the result as an array. You can seamlessly run this JavaScript code, and Coco will handle the integration of the C++ code into your Node.js application.
This powerful feature opens up endless possibilities for combining the strengths of both languages to create high-performance and feature-rich applications. Whether you need to optimize computationally-intensive tasks, utilize C++ libraries, or simply explore new capabilities, Coco has you covered.
Examples are not written yet. But you can look inside the translation tests in tests/JS/js.test.js.
Coco is an open-source project, and contributions are welcome! If you have ideas, bug fixes, or feature improvements, please open an issue or submit a pull request.
This project is licensed under the MIT License - see the LICENSE file for details.