ConvolutedScriptsTwo

convoluted_rust.rs

use serde::{Deserialize, Serialize};
use serde_json::{json, Value};

#[derive(Serialize, Deserialize, Debug)]
struct ComplexData {
    data: Vec<u32>,
    message: String,
}

fn obscure_serialization(data: &ComplexData) -> Value {
    serde_json::to_value(data).unwrap_or(json!({"error": "Serialization failed"}))
}

fn main() {
    let data = ComplexData {
        data: vec![1, 2, 3, 4, 5],
        message: String::from("Serde in Rust"),
    };

    let serialized = obscure_serialization(&data);
    println!("Serialized data: {}", serialized);
}

convoluted_two_python.py

from pydantic import BaseModel, validator
import itertools

class ObfuscatedDataModel(BaseModel):
    data: list[int]
    obscure_transformation: str

    @validator('data', pre=True, always=True)
    def convoluted_processing(cls, v, values, **kwargs):
        transformation = values.get('obscure_transformation', '')
        if transformation == 'quadratic':
            return [x**2 for x in v]
        elif transformation == 'factorial':
            factorial = lambda x: x * factorial(x-1) if x > 1 else 1
            return list(map(factorial, v))
        return list(itertools.accumulate(v, lambda x, y: x * y))

    def complex_analysis(self):
        return sum(self.data) % len(self.data)

# Usage
model = ObfuscatedDataModel(data=[1, 2, 3, 4], obscure_transformation='factorial')
print(model.complex_analysis())

ConvolutedTypescript.ts

import _ from 'lodash';

type ConfusingObject = { [key: string]: any };

const processData = (data: ConfusingObject): ConfusingObject => {
  const deepClonedData = _.cloneDeep(data);
  _.forEach(deepClonedData, (value, key) => {
    if (_.isArray(value)) {
      deepClonedData[key] = _.chain(value).map(_.toString).sort().value();
    } else if (_.isPlainObject(value)) {
      deepClonedData[key] = processData(value);
    } else {
      deepClonedData[key] = _.isNumber(value) ? _.multiply(value, _.random(1, 10)) : value;
    }
  });
  return _.zipObject(_.shuffle(Object.keys(deepClonedData)), _.values(deepClonedData));
};

const exampleData = { a: [2, 1, 3], b: { c: 5, d: 7 }, e: "text" };
console.log(processData(exampleData));