Initial Query

I want to call some C code from python on a linux machine. Specifically, I want to be able to run python3 -c 'import magic; print(magic.do_add(3, 4))' and have it give me the sum of these numbers. Here, do_add should be a C function that adds two integers. Please give me a complete set of instructions for how to make this run, so that when I run this code as-is it will work.

LLM Generation

Query

Output

To call a C function from Python, you can use the ctypes or cffi libraries, or create a Python extension in C. For simplicity and direct integration, I'll guide you through creating a Python extension in C. This will involve writing a small C library that includes the desired function (`do_add` in this case), and then creating a Python module that can be imported into Python code to use this function. ### Step 1: Write the C code First, you need to write the C code that implements the `do_add` function. Create a file named `magic.c`:

#include <Python.h>

// Function to add two numbers
static PyObject* do_add(PyObject* self, PyObject* args) {
    int x, y;
    if (!PyArg_ParseTuple(args, "ii", &x, &y))
        return NULL;
    return PyLong_FromLong(x + y);
}

// Method definition object for this extension, these are the methods
// that will be part of the module.
static PyMethodDef MagicMethods[] = {
    {"do_add",  do_add, METH_VARARGS, "Add two numbers"},
    {NULL, NULL, 0, NULL}        /* Sentinel */
};

// Module definition
static struct PyModuleDef magicmodule = {
    PyModuleDef_HEAD_INIT,
    "magic",   /* name of module */
    NULL, /* module documentation, may be NULL */
    -1,       /* size of per-interpreter state of the module,
             or -1 if the module keeps state in global variables. */
    MagicMethods
};

// Initialization function for this module
PyMODINIT_FUNC PyInit_magic(void) {
    return PyModule_Create(&magicmodule);
}

This C code defines a simple Python extension called `magic` with one function `do_add`. ### Step 2: Write the setup script Next, you need to write a setup script for compiling the extension module. Create a file named `setup.py`:

from setuptools import setup, Extension

module1 = Extension('magic',
                    sources = ['magic.c'])

setup (name = 'MagicPackage',
       version = '1.0',
       description = 'This is a demo package',
       ext_modules = [module1])

### Step 3: Build the module You need to have Python development headers and a C compiler installed on your system. On Ubuntu, you can install these dependencies by running:

sudo apt-get install python3-dev build-essential

Once the dependencies are installed, you can compile the module by running:

python3 setup.py build_ext --inplace

This command will compile the `magic` module and generate a shared object file in the current directory, something like `magic.cpython-XXm-x86_64-linux-gnu.so`, where `XX` varies depending on your Python version. ### Step 4: Test the module Now, you can test the module by running the command you provided:

python3 -c 'import magic; print(magic.do_add(3, 4))'

If everything is set up correctly, this will print:

This guide assumes you're working on a Linux machine with Python 3 and necessary development tools installed. Adjustments may be needed depending on your specific environment and Python version.

LLM Generation

Query

Now please conver this answer into a JSON array that packages it all up so I don't need to think and can just copy files to specific locations and then run things. Format your answer {"path/to/file": "contents of C file", "path/to/python_file": "contents of any necessary python file that exposes do_add", "build.sh": "contents of a bash file to build the project", ... # any other files necessary } The only thing I will do is put files in the right place and run `bash build.sh`. Do not give any explanation of the code. ONLY ANSWER WITH A SINGLE JSON OBJECT. Your answer should start

Output

{
    "magic.c": "#include <Python.h>\n\nstatic PyObject* do_add(PyObject* self, PyObject* args) {\n    int x, y;\n    if (!PyArg_ParseTuple(args, \"ii\", &x, &y))\n        return NULL;\n    return PyLong_FromLong(x + y);\n}\n\nstatic PyMethodDef MagicMethods[] = {\n    {\"do_add\",  do_add, METH_VARARGS, \"Add two numbers\"},\n    {NULL, NULL, 0, NULL}        /* Sentinel */\n};\n\nstatic struct PyModuleDef magicmodule = {\n    PyModuleDef_HEAD_INIT,\n    \"magic\",   /* name of module */\n    NULL, /* module documentation, may be NULL */\n    -1,       /* size of per-interpreter state of the module,\n             or -1 if the module keeps state in global variables. */\n    MagicMethods\n};\n\nPyMODINIT_FUNC PyInit_magic(void) {\n    return PyModule_Create(&magicmodule);\n}",
    "setup.py": "from setuptools import setup, Extension\n\nmodule1 = Extension('magic',\n                    sources = ['magic.c'])\n\nsetup (name = 'MagicPackage',\n       version = '1.0',\n       description = 'This is a demo package',\n       ext_modules = [module1])",
    "build.sh": "#!/bin/bash\n\n# Install Python dev and build tools\nsudo apt-get update\nsudo apt-get install python3-dev build-essential -y\n\n# Build the module\npython3 setup.py build_ext --inplace\n\n# Clean up build artifacts\npython3 setup.py clean --all\n\n# Reminder\necho 'You can now run your Python code using: python3 -c \"import magic; print(magic.do_add(3, 4))\"'"
}

Extract Json

I extracted the following JSON from that output:

{
    "magic.c": "#include <Python.h>\n\nstatic PyObject* do_add(PyObject* self, PyObject* args) {\n    int x, y;\n    if (!PyArg_ParseTuple(args, \"ii\", &x, &y))\n        return NULL;\n    return PyLong_FromLong(x + y);\n}\n\nstatic PyMethodDef MagicMethods[] = {\n    {\"do_add\",  do_add, METH_VARARGS, \"Add two numbers\"},\n    {NULL, NULL, 0, NULL}        /* Sentinel */\n};\n\nstatic struct PyModuleDef magicmodule = {\n    PyModuleDef_HEAD_INIT,\n    \"magic\",   /* name of module */\n    NULL, /* module documentation, may be NULL */\n    -1,       /* size of per-interpreter state of the module,\n             or -1 if the module keeps state in global variables. */\n    MagicMethods\n};\n\nPyMODINIT_FUNC PyInit_magic(void) {\n    return PyModule_Create(&magicmodule);\n}",
    "setup.py": "from setuptools import setup, Extension\n\nmodule1 = Extension('magic',\n                    sources = ['magic.c'])\n\nsetup (name = 'MagicPackage',\n       version = '1.0',\n       description = 'This is a demo package',\n       ext_modules = [module1])",
    "build.sh": "#!/bin/bash\n\n# Install Python dev and build tools\nsudo apt-get update\nsudo apt-get install python3-dev build-essential -y\n\n# Build the module\npython3 setup.py build_ext --inplace\n\n# Clean up build artifacts\npython3 setup.py clean --all\n\n# Reminder\necho 'You can now run your Python code using: python3 -c \"import magic; print(magic.do_add(3, 4))\"'"
}

UNKNOWN NODE TYPE:

PyFunc

final: True build.sh: line 4: sudo: command not found build.sh: line 5: sudo: command not found 'build/bdist.linux-x86_64' does not exist -- can't clean it 'build/scripts-3.10' does not exist -- can't clean it Resulting in output: True

Initial Query

LLM Generation

Query

Output

To achieve this, you will need to follow these steps: 1. **Write the C Code**: Create a C function that performs the addition. 2. **Create a Python C Extension**: Use the Python C API to create an extension module that Python can import. 3. **Compile the Extension**: Use a setup script with `distutils` or `setuptools` to compile the extension. 4. **Test the Functionality**: Run your Python code to test the functionality. ### Step 1: Write the C Code Create a file named `magicmodule.c`. This file will contain the C function that performs the addition and the boilerplate needed to make it accessible from Python.

#include <Python.h>

// C function to be called from Python
static PyObject* do_add(PyObject* self, PyObject* args) {
    int a, b;

    // Parse the input tuple
    if (!PyArg_ParseTuple(args, "ii", &a, &b)) {
        return NULL; // In case of error
    }

    // Perform the addition
    int sum = a + b;

    // Build the output from C to Python
    return PyLong_FromLong(sum);
}

// Method definition object for this extension, these are the methods
// that will be exposed to Python
static PyMethodDef MagicMethods[] = {
    {"do_add", do_add, METH_VARARGS, "Add two numbers"},
    {NULL, NULL, 0, NULL} // Sentinel value ending the array
};

// Module definition
static struct PyModuleDef magicmodule = {
    PyModuleDef_HEAD_INIT,
    "magic", // name of module
    NULL, // module documentation, may be NULL
    -1,   // size of per-interpreter state of the module,
          // or -1 if the module keeps state in global variables.
    MagicMethods
};

// Module initialization function
PyMODINIT_FUNC PyInit_magic(void) {
    return PyModule_Create(&magicmodule);
}

### Step 2: Create a Setup Script Next, you need to tell Python how to compile this module. Create a file named `setup.py` in the same directory as your `magicmodule.c` file.

from distutils.core import setup, Extension

module1 = Extension('magic',
                    sources = ['magicmodule.c'])

setup (name = 'PackageName',
       version = '1.0',
       description = 'This is a demo package',
       ext_modules = [module1])

### Step 3: Compile the Extension You need to have Python development files and a C compiler installed. On many Linux systems, you can install these with your package manager. For example, on Ubuntu:

sudo apt-get install python3-dev build-essential

Now, compile the extension by running the following command in the terminal in the directory where your `magicmodule.c` and `setup.py` are located:

python3 setup.py build

Then install the module (you might need to use `sudo` for global installation or alternatively use a virtual environment):

python3 setup.py install

### Step 4: Test the Functionality Now, everything is set up. You can test the functionality by running:

python3 -c 'import magic; print(magic.do_add(3, 4))'

This should output `7`, the sum of 3 and 4, if everything was setup correctly. Note: The actual commands and procedures might vary slightly depending on your specific Linux distribution and Python version.

LLM Generation

Query

Output

{
    "magicmodule.c": "#include <Python.h>\n\nstatic PyObject* do_add(PyObject* self, PyObject* args) {\n    int a, b;\n\n    if (!PyArg_ParseTuple(args, \"ii\", &a, &b)) {\n        return NULL;\n    }\n\n    int sum = a + b;\n\n    return PyLong_FromLong(sum);\n}\n\nstatic PyMethodDef MagicMethods[] = {\n    {\"do_add\", do_add, METH_VARARGS, \"Add two numbers\"},\n    {NULL, NULL, 0, NULL}\n};\n\nstatic struct PyModuleDef magicmodule = {\n    PyModuleDef_HEAD_INIT,\n    \"magic\",\n    NULL,\n    -1,\n    MagicMethods\n};\n\nPyMODINIT_FUNC PyInit_magic(void) {\n    return PyModule_Create(&magicmodule);\n}",
    "setup.py": "from distutils.core import setup, Extension\n\nmodule1 = Extension('magic',\n                    sources = ['magicmodule.c'])\n\nsetup (name = 'MagicModule',\n       version = '1.0',\n       description = 'This is a demo package for adding two numbers',\n       ext_modules = [module1])\n",
    "build.sh": "#!/bin/bash\n\n# Ensure python3-dev and build-essential are installed\nsudo apt-get update && sudo apt-get install python3-dev build-essential -y\n\n# Build and install the Python module\npython3 setup.py build\npython3 setup.py install\n"
}

Extract Json

I extracted the following JSON from that output:

{
    "magicmodule.c": "#include <Python.h>\n\nstatic PyObject* do_add(PyObject* self, PyObject* args) {\n    int a, b;\n\n    if (!PyArg_ParseTuple(args, \"ii\", &a, &b)) {\n        return NULL;\n    }\n\n    int sum = a + b;\n\n    return PyLong_FromLong(sum);\n}\n\nstatic PyMethodDef MagicMethods[] = {\n    {\"do_add\", do_add, METH_VARARGS, \"Add two numbers\"},\n    {NULL, NULL, 0, NULL}\n};\n\nstatic struct PyModuleDef magicmodule = {\n    PyModuleDef_HEAD_INIT,\n    \"magic\",\n    NULL,\n    -1,\n    MagicMethods\n};\n\nPyMODINIT_FUNC PyInit_magic(void) {\n    return PyModule_Create(&magicmodule);\n}",
    "setup.py": "from distutils.core import setup, Extension\n\nmodule1 = Extension('magic',\n                    sources = ['magicmodule.c'])\n\nsetup (name = 'MagicModule',\n       version = '1.0',\n       description = 'This is a demo package for adding two numbers',\n       ext_modules = [module1])\n",
    "build.sh": "#!/bin/bash\n\n# Ensure python3-dev and build-essential are installed\nsudo apt-get update && sudo apt-get install python3-dev build-essential -y\n\n# Build and install the Python module\npython3 setup.py build\npython3 setup.py install\n"
}

UNKNOWN NODE TYPE:

PyFunc

final: True build.sh: line 4: sudo: command not found /usr/src/app/setup.py:1: DeprecationWarning: The distutils package is deprecated and slated for removal in Python 3.12. Use setuptools or check PEP 632 for potential alternatives from distutils.core import setup, Extension /usr/src/app/setup.py:1: DeprecationWarning: The distutils package is deprecated and slated for removal in Python 3.12. Use setuptools or check PEP 632 for potential alternatives from distutils.core import setup, Extension Resulting in output: True

Initial Query

LLM Generation

Query

Output

To accomplish this, you will need to create a simple C library that includes the `do_add` function, and then use Python's `ctypes` or `cffi` library to interface with it. Here, I will guide you through creating a simple C shared library and then calling it from Python using `ctypes`. ### Step 1: Write the C Code First, create a C file named `magic.c` with the following content:

#include <stdio.h>

// Function to add two integers
int do_add(int a, int b) {
    return a + b;
}

### Step 2: Compile the C Code into a Shared Library You'll need to compile this C code into a shared library. On a Linux machine, you can use the `gcc` compiler to do this. Open a terminal and run:

gcc -shared -fpic -o libmagic.so magic.c

This command compiles `magic.c` into a shared library named `libmagic.so`. ### Step 3: Write the Python Code Create a Python file in the same directory as your shared library (or update the directory path to the shared library in the code if it's located elsewhere). The Python code will load the shared library and call the `do_add` function. You can use the `ctypes` library for this purpose. You wanted to run the code directly from the command line, so instead of creating a new file, you'll directly use the `-c` option with the necessary Python code. However, for clarity, here's what the Python code snippet would look like:

import ctypes

# Load the shared library
magic = ctypes.CDLL('./libmagic.so')

# Specify the argument and return types of the function
magic.do_add.argtypes = [ctypes.c_int, ctypes.c_int]
magic.do_add.restype = ctypes.c_int

# Call the function and print the result
print(magic.do_add(3, 4))

### Step 4: Run the Python Code Now, to run the code as you specified, you'll need to convert the above Python code into a single command line. Here's how you can do it:

python3 -c "import ctypes; magic = ctypes.CDLL('./libmagic.so'); magic.do_add.argtypes = [ctypes.c_int, ctypes.c_int]; magic.do_add.restype = ctypes.c_int; print(magic.do_add(3, 4))"

Make sure you run this command in the same directory where your `libmagic.so` is located, or provide the full or relative path to `libmagic.so`. ### Troubleshooting - If you encounter any errors, make sure `gcc` is installed and your paths are correct. - If you're using a virtual environment for Python, ensure it's activated. - Ensure you have permissions to execute the `libmagic.so` file. You might need to run `chmod +x libmagic.so` to make it executable. This approach should work on most Linux distributions and allows for a quick and efficient way to call C code from Python.

LLM Generation

Query

Output

{
    "magic.c": "#include <stdio.h>\n\nint do_add(int a, int b) {\n    return a + b;\n}",
    "build.sh": "gcc -shared -fpic -o libmagic.so magic.c\n",
    "magic.py": "import ctypes\n\nmagic = ctypes.CDLL('./libmagic.so')\nmagic.do_add.argtypes = [ctypes.c_int, ctypes.c_int]\nmagic.do_add.restype = ctypes.c_int\n\ndef py_do_add(a, b):\n    return magic.do_add(a, b)\n",
    "run_magic.py": "from magic import py_do_add\nprint(py_do_add(3, 4))"
}

Extract Json

I extracted the following JSON from that output:

{
    "magic.c": "#include <stdio.h>\n\nint do_add(int a, int b) {\n    return a + b;\n}",
    "build.sh": "gcc -shared -fpic -o libmagic.so magic.c\n",
    "magic.py": "import ctypes\n\nmagic = ctypes.CDLL('./libmagic.so')\nmagic.do_add.argtypes = [ctypes.c_int, ctypes.c_int]\nmagic.do_add.restype = ctypes.c_int\n\ndef py_do_add(a, b):\n    return magic.do_add(a, b)\n",
    "run_magic.py": "from magic import py_do_add\nprint(py_do_add(3, 4))"
}

UNKNOWN NODE TYPE:

PyFunc

final: False Traceback (most recent call last): File "<string>", line 1, in <module> AttributeError: module 'magic' has no attribute 'do_add'. Did you mean: 'py_do_add'? Resulting in output: False

Initial Query

LLM Generation

Query

Output

To accomplish the task of calling a C function from Python, you will need to use a Python module that facilitates C extension or foreign function interface (FFI) like `ctypes` or `cffi`. However, for simplicity and direct integration, creating a Python extension module in C is a more straightforward approach. This involves writing the C code, creating a setup script for building the module, and then compiling it into a shared library that Python can import. ### Step 1: Write the C code First, you need to write the C function that you want to call from Python. Let's create a C file named `magicmodule.c`. This file will contain the C implementation of the `do_add` function, as well as the necessary boilerplate to make it a Python module.

#include <Python.h>

// C function to be called from Python
static PyObject* do_add(PyObject* self, PyObject* args) {
    int a, b;
    
    // Parse the Python argument tuple into C ints
    if (!PyArg_ParseTuple(args, "ii", &a, &b)) {
        return NULL; // In case of error
    }
    
    // Call the C function and return the result as a Python object
    return Py_BuildValue("i", a + b);
}

// Method definition object for this extension, describes the module’s methods
static PyMethodDef MagicMethods[] = {
    {"do_add",  do_add, METH_VARARGS, "Add two numbers."},
    {NULL, NULL, 0, NULL}        /* Sentinel */
};

// Module definition
static struct PyModuleDef magicmodule = {
    PyModuleDef_HEAD_INIT,
    "magic",   /* name of module */
    NULL, /* module documentation, may be NULL */
    -1,       /* size of per-interpreter state of the module, or -1 if the module keeps state in global variables. */
    MagicMethods
};

// Initialization function for the module
PyMODINIT_FUNC PyInit_magic(void) {
    return PyModule_Create(&magicmodule);
}

### Step 2: Write the setup script Python uses a setup script to compile extension modules. This is usually named `setup.py`. Its job is to tell Python how to compile your C code. Create a `setup.py` file with the following contents:

from distutils.core import setup, Extension

# Define the extension module
magic_module = Extension('magic', sources = ['magicmodule.c'])

# Run the setup
setup(name = 'MagicModule',
      version = '1.0',
      description = 'This is a demo package',
      ext_modules = [magic_module])

### Step 3: Compile the module Ensure you have Python development headers and GCC compiler installed on your Linux machine. If not, you can install them on Ubuntu-based distributions using:

sudo apt-get install python3-dev build-essential

Then, compile the module by running:

python3 setup.py build_ext --inplace

This command will compile the C code into a shared library (a `.so` file) in the current directory. The `--inplace` option tells setup to place the compiled extension in the current directory. ### Step 4: Test the module Now, you should be able to run the Python command you mentioned:

python3 -c 'import magic; print(magic.do_add(3, 4))'

This command imports your `magic` module and calls the `do_add` function with arguments `3` and `4`, printing the result `7`. This set of instructions should allow you to call the `do_add` C function from Python. Remember, working with C extensions requires careful management of memory and understanding of how C types map to Python types, but for simple cases like this, it's quite straightforward.

LLM Generation

Query

Output

{
    "magicmodule.c": "#include <Python.h>\n\nstatic PyObject* do_add(PyObject* self, PyObject* args) {\n    int a, b;\n    if (!PyArg_ParseTuple(args, \"ii\", &a, &b)) {\n        return NULL;\n    }\n    return Py_BuildValue(\"i\", a + b);\n}\n\nstatic PyMethodDef MagicMethods[] = {\n    {\"do_add\",  do_add, METH_VARARGS, \"Add two numbers.\"},\n    {NULL, NULL, 0, NULL}\n};\n\nstatic struct PyModuleDef magicmodule = {\n    PyModuleDef_HEAD_INIT,\n    \"magic\",\n    NULL,\n    -1,\n    MagicMethods\n};\n\nPyMODINIT_FUNC PyInit_magic(void) {\n    return PyModule_Create(&magicmodule);\n}",
    "setup.py": "from distutils.core import setup, Extension\n\nmagic_module = Extension('magic', sources = ['magicmodule.c'])\n\nsetup(name = 'MagicModule',\n      version = '1.0',\n      description = 'This is a demo package',\n      ext_modules = [magic_module])",
    "build.sh": "#!/bin/bash\n\n# Ensure python3-dev and build-essential are installed\nsudo apt-get install python3-dev build-essential -y\n\n# Build the module\npython3 setup.py build_ext --inplace\n\n# Run a test command\npython3 -c 'import magic; print(magic.do_add(3, 4))'"
}

Extract Json

I extracted the following JSON from that output:

{
    "magicmodule.c": "#include <Python.h>\n\nstatic PyObject* do_add(PyObject* self, PyObject* args) {\n    int a, b;\n    if (!PyArg_ParseTuple(args, \"ii\", &a, &b)) {\n        return NULL;\n    }\n    return Py_BuildValue(\"i\", a + b);\n}\n\nstatic PyMethodDef MagicMethods[] = {\n    {\"do_add\",  do_add, METH_VARARGS, \"Add two numbers.\"},\n    {NULL, NULL, 0, NULL}\n};\n\nstatic struct PyModuleDef magicmodule = {\n    PyModuleDef_HEAD_INIT,\n    \"magic\",\n    NULL,\n    -1,\n    MagicMethods\n};\n\nPyMODINIT_FUNC PyInit_magic(void) {\n    return PyModule_Create(&magicmodule);\n}",
    "setup.py": "from distutils.core import setup, Extension\n\nmagic_module = Extension('magic', sources = ['magicmodule.c'])\n\nsetup(name = 'MagicModule',\n      version = '1.0',\n      description = 'This is a demo package',\n      ext_modules = [magic_module])",
    "build.sh": "#!/bin/bash\n\n# Ensure python3-dev and build-essential are installed\nsudo apt-get install python3-dev build-essential -y\n\n# Build the module\npython3 setup.py build_ext --inplace\n\n# Run a test command\npython3 -c 'import magic; print(magic.do_add(3, 4))'"
}

UNKNOWN NODE TYPE:

PyFunc

Initial Query

LLM Generation

Query

Output

To call a C function from Python, you can use the C Foreign Function Interface (CFFI), ctypes, or create a Python extension in C. For simplicity, I'll demonstrate using ctypes, which is a foreign function library for Python. It provides C compatible data types, and allows calling functions in DLLs or shared libraries. It's available in the standard library, so you don't need to install anything extra for it. **Step 1: Writing the C Code** First, create a C file named `magic.c`:

#include <stdio.h>

int do_add(int x, int y) {
    return x + y;
}

**Step 2: Compiling the C Code to a Shared Library** Next, you need to compile this C code into a shared library (`*.so` file on Linux). Run the following command in the terminal:

gcc -shared -fpic -o libmagic.so magic.c

This command creates a shared library named `libmagic.so` from `magic.c`. **Step 3: Writing the Python Code** Now, write a Python script or simply use the command line to call the `do_add` function from the `libmagic.so` library. Here's how you can do it within the Python interpreter or a script:

import ctypes

# Load the shared library
magic = ctypes.CDLL('./libmagic.so')

# Specify the argument and return types of the function
magic.do_add.argtypes = [ctypes.c_int, ctypes.c_int]
magic.do_add.restype = ctypes.c_int

# Now call the function
result = magic.do_add(3, 4)
print(result)

**Step 4: Running Your Code as Command** To run this directly as a command in the terminal as per your request, you can combine the Python code into one line and use the `-c` option. However, remember that this approach requires the shared library (`libmagic.so`) to be in the current working directory or in a location known to the system (you can adjust the library search path with the `LD_LIBRARY_PATH` environment variable on Linux). Here is the command that incorporates the Python code:

python3 -c "import ctypes; magic = ctypes.CDLL('./libmagic.so'); magic.do_add.argtypes = [ctypes.c_int, ctypes.c_int]; magic.do_add.restype = ctypes.c_int; print(magic.do_add(3, 4))"

**Note:** Ensure that `libmagic.so` is in the current directory when you run the above Python command, or provide the full path to `libmagic.so` in `ctypes.CDLL()`. This set of instructions should fulfill your requirements, allowing you to call a C function from Python on a Linux machine. If you encounter any errors, make sure the shared library was compiled correctly and is accessible from your Python script's directory.

LLM Generation

Query

Output

{
  "magic.c": "#include <stdio.h>\n\nint do_add(int x, int y) {\n    return x + y;\n}",
  "build.sh": "#!/bin/bash\n\ngcc -shared -fpic -o libmagic.so magic.c\n",
  "magic_wrapper.py": "import ctypes\n\n# Load the shared library\nmagic = ctypes.CDLL('./libmagic.so')\n\n# Specify the argument and return types of the function\nmagic.do_add.argtypes = [ctypes.c_int, ctypes.c_int]\nmagic.do_add.restype = ctypes.c_int\n\ndef do_add(x, y):\n    return magic.do_add(x, y)\n",
  "run_magic.py": "from magic_wrapper import do_add\n\nprint(do_add(3, 4))"
}

Extract Json

I extracted the following JSON from that output:

{
  "magic.c": "#include <stdio.h>\n\nint do_add(int x, int y) {\n    return x + y;\n}",
  "build.sh": "#!/bin/bash\n\ngcc -shared -fpic -o libmagic.so magic.c\n",
  "magic_wrapper.py": "import ctypes\n\n# Load the shared library\nmagic = ctypes.CDLL('./libmagic.so')\n\n# Specify the argument and return types of the function\nmagic.do_add.argtypes = [ctypes.c_int, ctypes.c_int]\nmagic.do_add.restype = ctypes.c_int\n\ndef do_add(x, y):\n    return magic.do_add(x, y)\n",
  "run_magic.py": "from magic_wrapper import do_add\n\nprint(do_add(3, 4))"
}

UNKNOWN NODE TYPE:

PyFunc

final: False Traceback (most recent call last): File "<string>", line 1, in <module> ModuleNotFoundError: No module named 'magic' Resulting in output: False