Qwen

/

Qwen3-235B-A22B

like 1.09k

Follow

Qwen 80.8k

#include <stdio.h>
#include <stdlib.h>
#include <string.h>

// Function to convert text to binary
char* text_to_binary(const char* text) {
int length = strlen(text);
char* binary = (char*)malloc(length * 9);
for (int i = 0; i < length; i++) {
char byte = (char)text[i];
sprintf(&binary[i * 9], "%08d", (unsigned char)byte);
}
return binary;
}

// Function to convert binary to text
char* binary_to_text(const char* binary) {
int length = strlen(binary) / 8;
char* text = (char*)malloc(length + 1);
for (int i = 0; i < length; i++) {
char byte = (char)strtol(&binary[i * 8], NULL, 2);
text[i] = byte;
}
text[length] = '\0';
return text;
}

int main() {
// Define the code snippet as text
const char* code_snippet =
"from fastapi import FastAPI, HTTPException\n"
"from pydantic import BaseModel\n"
"import uvicorn\n"
"import ipfshttpclient\n"
"import translators\n"
"import json\n"
"\n"
"app = FastAPI()\n"
"\n"
"# Connect to IPFS\n"
"ipfs_client = ipfshttpclient.connect('/ip4/127.0.0.1/tcp/5001/http')\n"
"\n"
"# Define a route to store data on IPFS\n"
"@app.post("/store")\n"
"async def store_data(data: str):\n"
" ipfs_hash = ipfs_client.add_str(data)\n"
" return {"ipfs_hash": ipfs_hash}\n"
"\n"
"# Define a route to retrieve data from IPFS\n"
"@app.get("/retrieve/{ipfs_hash}")\n"
"async def retrieve_data(ipfs_hash: str):\n"
" data = ipfs_client.cat(ipfs_hash).decode('utf-8')\n"
" return {"data": data}\n"
"\n"
"# Define a route to summarize text\n"
"class SummarizeRequest(BaseModel):\n"
" text: str\n"
" language: str\n"
"\n"
"# Define JSON data\n"
"json_data = {\n"
" "section_id": "ACA-1311",\n"
" "language": "Chinese",\n"
" "text": "\u4e2d\u533b\u836f\u7ba1\u7406\u6807\u51c6 (2023) (a) \u6807\u51c6\u4e2d\u836f\u6750\u79cd\u7a7f\u751f\u3002 (b) \u5efa\u7acb\u4e2d\u533b\u75ab\u7a76\u6807\u51c6\u3002 (c) \u52a0\u5e9a\u4e2d\u836f\u8d44\u4ea7\u8ba1\u7ba1\u3002"\n"
"}\n"
"\n"
"# Define a route to handle JSON data\n"
"@app.post("/handle_json")\n"
"async def handle_json():\n"
" # Process the JSON data\n"
" section_id = json_data["section_id"]\n"
" language = json_data["language"]\n"
" text = json_data["text"]\n"
"\n"
" # Summarize the text\n"
" summary = f"Summary: {text[:50]}..."\n"
"\n"
" # Translate the summary to Persian\n"
" persian_summary = translators.google(summary, dest='fa')\n"
"\n"
" # Rewrite the summary in an ancient language (Sumerian)\n"
" sumerian_summary = "\u4141\u2f36 (summarize) \u132d (text): \u132f\u1333\u4141\u2f36: {\u132d[:50]}..."\n"
"